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PROJECT MANAGER – HOSPITALITY OPENINGS \n \n Culinary Collective is a multi-brand hospitality group shaping the future of food, drink and culture through chef-led restaurants, bars, venues, events and catering operations. \n We’re looking for an experienced Project Manager to lead the operator-side mobilisation of new openings, refurbishments, expansions and major operational-change projects. \n This is not a construction project management role. You’ll work alongside our appointed design and build partners, coordinating Culinary Collective’s internal teams and ensuring every operational requirement, decision and deliverable is completed accurately and on time. \n \n THE ROLE \n You’ll manage the journey from initial feasibility through mobilisation, launch and 30/60/90-day stabilisation. Bringing together teams across Operations, Culinary, People, Finance, Technology, Commercial, Marketing and Compliance, you’ll create one clear plan for operational readiness. \n Key responsibilities include: \n\n • Building and managing integrated mobilisation plans, timelines, RACIs, risk registers and readiness dashboards\n, • Coordinating operational information and decisions between Culinary Collective and external delivery partners\n, • Managing dependencies across recruitment, training, menus, suppliers, technology, licensing, marketing and launch activity\n, • Identifying risks, resolving conflicting priorities and escalating issues before they affect opening readiness\n, • Leading operational-impact and transition planning for refurbishments, phased works and relaunches\n, • Coordinating feasibility assessments and operator-side business case inputs\n, • Establishing clear, evidence-based readiness gates and supporting go/no-go decisions\n, • Coordinating soft openings, rehearsals, launch support and post-opening reviews\n, • Developing a scalable openings and operational-change playbook for the wider group\n\n \n ABOUT YOU \n You’ll bring: \n\n • At least five years’ experience delivering hospitality openings, mobilisations, refurbishments or complex operational-change projects\n, • Experience coordinating operator readiness alongside separate property, design or construction teams\n, • Strong cross-functional leadership and the ability to secure decisions through influence\n, • Excellent project controls, including planning, dependencies, RACI, RAID, reporting and close-out\n, • Commercial confidence and experience working with Finance on costs, operational assumptions and business cases\n, • The ability to turn complex or ambiguous information into clear actions, owners and deadlines\n, • Exceptional organisation, communication and stakeholder-management skills\n, • The flexibility to travel and be present on site during critical project and launch periods\n\n \n Experience across multiple hospitality formats, international or partnership openings, and a recognised project-management qualification would be advantageous. \n\n • This is an exciting opportunity to shape how Culinary Collective brings new concepts to life and delivers consistent, operationally ready openings across a growing portfolio.\n\n \n BENEFITS \n ● Hybrid working: 2–3 days per week in our London Bridge office \n ● Unlimited holiday - we trust you to get the job done \n ● 50% off all food & drink across the group \n ● Annual development budget

Criterion Capital is seeking a dynamic and experienced Pre-Construction Manager to join our team and play a key role in delivering the pre-construction phase of our office-to-hotel conversion and PRS (Private Rented Sector) development projects. Working across a business that acts as developer, asset manager and owner/operator of long-term hospitality and residential assets, the Pre-Construction Manager will act as a vital bridge between our in-house design, construction, asset management and operations teams. Key Responsibilities • Lead and deliver the pre-construction phase of multiple office-to-hotel conversion and PRS development projects through RIBA Stages 1–3, taking ownership of scope, programme, budget, design coordination and risk., • Develop and maintain comprehensive project plans, programmes, milestones and budgets, proactively identifying and resolving issues to keep projects on track., • Develop and manage the Project/Client Brief and Employer’s Requirements, coordinating with design, construction, asset management and operations teams to ensure requirements are clearly defined., • Identify, procure and manage surveys, investigations, technical information and enabling works required to inform the design, de-risk construction and support an efficient transition into delivery., • Lead and coordinate architects, engineers, specialist consultants, cost consultants and contractors, challenging teams on cost, buildability, programme, quality and operational requirements., • Lead tendering and procurement activities, including contractor engagement, tender analysis, commercial negotiations and contract recommendations, while maintaining strong commercial control., • Work closely with Design and Planning teams to manage planning inputs and conditions, ensuring designs are fully coordinated, sufficiently developed and buildable before handover to Construction., • Maintain robust project records, risk registers and reporting, providing clear updates on progress, decisions, risks and actions, and ensuring a commercially robust, fully de-risked project is handed over to the Construction team. About You • A minimum of 10 years’ experience in pre-construction, construction project management or a closely related discipline., • Proven experience managing projects from early design through to construction, ideally including office-to-hotel conversions., • Strong refurbishment and existing-building experience, with a good understanding of the challenges associated with converting existing assets., • Experience in the hotel and/or residential sector is strongly preferred., • Strong knowledge of construction methods, procurement, buildability, programme management and cost control., • Proven ability to manage and challenge architects, designers, consultants, cost consultants and contractors effectively., • Strong commercial, negotiation, decision-making and problem-solving skills., • Good knowledge of planning, building regulations and statutory approvals., • Bachelor’s degree in Construction Management, Civil Engineering or a related discipline., • Proficient in project management and construction software, including MS Project, Primavera, Procore or similar. The Person We are looking for a hands-on doer who takes ownership and is comfortable being accountable for getting projects construction-ready. You will be someone who: • Takes responsibility for outcomes rather than simply coordinating activity., • Challenges poor, incomplete or unrealistic work and drives teams towards solutions., • Makes informed decisions and keeps projects moving., • Identifies problems early and resolves them before they reach site., • Maintains firm control of cost, programme, scope and risk., • Is confident pushing consultants, contractors and design teams for clear answers and timely decisions., • Has the commercial awareness to understand where time and cost can be saved without compromising quality or project objectives., • Closes actions and drives accountability rather than allowing issues to remain open indefinitely., • Can operate effectively across design, construction, development, asset management and operations teams., • Understands that speed, cost control and risk management are critical to successful pre-construction delivery., • Takes pride in handing over projects that are properly coordinated, fully prepared and ready for construction., • Ultimately, you will be accountable for ensuring projects reach Construction on time, on budget, with the right scope and design, and with risks identified and appropriately managed

Offgrid Energy Labs is a deep-science, IP-led startup commercialising ZincGel™ – a breakthrough zinc-bromide electrolyte technology for long-duration energy storage (LDES). With 60+ IP assets across six jurisdictions and roots in research at IIT Kanpur, Offgrid is building the world’s first dedicated ZincGel manufacturing facility in Hook, Hampshire. The company operates across India, the UK, and the US, with a licensing-led global scaling model. This is the single most important operational hire at Offgrid in 2026. ZincGel batteries have never been manufactured at scale. The person who fills this role will define how they are built – and will write the manufacturing playbook that scales from Hook’s pilot line to multi-GWh giga-factories worldwide. You will carry four interlocking mandates: • Perfect the Process: Take ZincGel from R&D hand-off to repeatable, high-yield production. Own cell assembly, electrolyte management, sealing, testing, and quality end-to-end., • Build the Playbook: Codify every learning into a transferable manufacturing operations manual – the IP backbone for Offgrid’s 1 GWh facilities and licensee-run manufacturing globally., • Architect the Ecosystem: Build a resilient global supplier and partner network across the UK, India, and beyond for raw materials, precision tooling, automation, and contract manufacturing., • Build the Team & Drive Cost Down: Recruit and lead a manufacturing engineering team that continuously innovates to reduce unit costs and improve cell performance, working hand-in-glove with R&D., • Take the Hook facility from commissioning to operational production; greenfield execution experience essential., • Partner with R&D on Design for Manufacturing/Assembly (DFM/DFA) to optimise battery design for automated assembly., • Implement automation and robotics: high-speed pick-and-place, precision laser work, automated testing systems., • Design production floor layout with appropriate environmental controls (cascading pressure, humidity, chemical safety)., • Manage equipment procurement ($10M+ RFP processes) for custom assembly machines and chemical-resistant piping., • Establish OEE-driven, data-intensive approach to minimising downtime in a 24/7 environment., • Lead 2K (two-shot) molding and insert/overmolding for hermetic sealing and conductive collector integration., • Manage complex tooling strategy for multi-million-unit annual volumes – rotary/index-plate molds, cycle time optimisation., • Source high-purity chemicals, chemically resistant polymers, and specialty materials at scale across multiple geographies., • Manage UK/EU regulatory compliance: UK REACH, COSHH, and relevant environmental standards., • Incorporate Design for Disassembly and circular economy principles into every product., • Build end-to-end quality systems: inbound material integrity (ICP-OES testing), statistical process control, in-line and end-of-line validation., • Establish and run a supplier audit programme across all tiers., • Document all processes into a comprehensive, transferable ZincGel Manufacturing Playbook for licensee partners., • A first-principles manufacturing thinker. You solve problems that don’t have playbooks yet. Preferably in battery, electrochemical, polymer, fuel cell, or advanced materials manufacturing., • A 0→1→10 builder. You’ve personally taken at least one manufacturing operation from inception (or near-inception) to volume production. You’re comfortable with chaos and disciplined enough to systematise., • Technically deep. You can engage at the level of electrode chemistry, electrolyte handling, sealing materials, and automation integration – not just factory management., • Startup-minded. You’re willing to take a calculated bet on a pre-revenue deep-tech company. You thrive in ambiguity, move fast, and take ownership., • A collaborative operator. ZincGel’s manufacturing process is being co‑created with R&D in real time. You bridge science and production., • 15–25 years of progressive manufacturing experience, with 5+ years in senior leadership (VP/Director of Manufacturing, Plant Head)., • Direct experience in lithium‑ion, zinc‑based, or flow battery manufacturing., • Track record in greenfield factory commissioning across multiple geographies., • Familiarity with UK/EU regulatory frameworks (REACH, COSHH, CE/UKCA)., • Exposure to licensing or contract manufacturing models., • Lean manufacturing, Six Sigma, or TQM in a high-mix to high-volume transition environment., • Bachelor’s or Master’s in Chemical Engineering, Mechanical Engineering, Materials Science, Electrochemistry, or a related field. PhD is a plus but not required – practical depth outweighs academic credentials., • Career‑defining opportunity: You’ll be the person who figured out how to manufacture a fundamentally new battery technology. That’s a legacy., • Deep‑science, IP‑led company: 60+ patents, technology incubated at IIT Kanpur, with real differentiation – not just another cell assembly operation., • Global scale from day one: The playbook you write at Hook will be deployed across India, the UK, and through licensee partners worldwide., • Meaningful equity: Compensation is structured with significant equity participation, reflecting the impact this role will have on the company’s trajectory., • Founder‑grade team: Work directly with the CTO and co‑founders in a flat, high‑trust environment where your decisions shape the company. #J-18808-Ljbffr

Step into a pivotal role at the forefront of JP Morgan’s AI transformation. As part of the Chief Analytics Office (CAO), you’ll drive innovation and shape the future of financial technology. You’ll collaborate with talented teams, architect impactful solutions, and see your work deliver measurable results across the firm. This is your opportunity to influence strategy, build production-grade systems, and unlock new possibilities for our clients and stakeholders. Join us and help define the next era of enterprise AI. As a Generative AI Executive Director in the Chief Analytics Office, you will lead the design and delivery of production‑grade LLM systems that power mission‑critical products for thousands of professionals. Your technical leadership will empower teams to innovate and accelerate the adoption of AI at scale. • You will architect scalable APIs and agentic workflows, enabling automation and efficiency across the firm., • Architect and deliver production LLM‑based systems for text, image, speech, and video applications., • Own end‑to‑end delivery, performance, and continuous improvement of LLM Suite products., • Working closely with ML Engineering, Product Management, and Cloud Engineering, you will ensure our AI solutions are reliable, secure, and built for real business impact., • Bridge advanced AI research with robust engineering to build innovative, production‑ready solutions., • Drive results with an entrepreneurial mindset in a fast‑paced, high‑impact environment., • Hold a PhD or possess equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline., • Demonstrate extensive hands‑on experience in ML engineering, with a proven track record of shipping production AI systems., • Bring deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory., • Apply practical experience implementing distributed, multi‑threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed., • Communicate complex technical concepts effectively and build trust with stakeholders at all levels., • Design and deploy production ML pipelines using DAG frameworks, including custom operator development and pipeline optimization., • Architect and implement high‑throughput, low‑latency microservices with gRPC, REST, and GraphQL, including protocol buffer schema design, streaming endpoints, and load balancing., • Apply hands‑on experience with parameter‑efficient fine‑tuning (LoRA, QLoRA, IA3), model quantization (INT8, FP16, GPTQ), and quantization‑aware training for LLMs at scale., • Demonstrate deep knowledge of distributed training strategies, memory optimization, and inference acceleration for large‑scale multimodal models., • Orchestrate advanced agentic workflows, including multi‑agent coordination, stateful task management, and integration with enterprise event‑driven architectures. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit FAQs for more information about requesting an accommodation. #J-18808-Ljbffr

Step into a pivotal role at the forefront of JP Morgan’s AI transformation. As part of the Chief Analytics Office (CAO), you’ll drive innovation and shape the future of financial technology. You’ll collaborate with talented teams, architect impactful solutions, and see your work deliver measurable results across the firm. This is your opportunity to influence strategy, build production-grade systems, and unlock new possibilities for our clients and stakeholders. Join us and help define the next era of enterprise AI. As a Generative AI Executive Director in the Chief Analytics Office, you will lead the design and delivery of production‑grade LLM systems that power mission‑critical products for thousands of professionals. Your technical leadership will empower teams to innovate and accelerate the adoption of AI at scale. • You will architect scalable APIs and agentic workflows, enabling automation and efficiency across the firm., • Architect and deliver production LLM‑based systems for text, image, speech, and video applications., • Own end‑to‑end delivery, performance, and continuous improvement of LLM Suite products., • Working closely with ML Engineering, Product Management, and Cloud Engineering, you will ensure our AI solutions are reliable, secure, and built for real business impact., • Bridge advanced AI research with robust engineering to build innovative, production‑ready solutions., • Drive results with an entrepreneurial mindset in a fast‑paced, high‑impact environment., • Hold a PhD or possess equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline., • Demonstrate extensive hands‑on experience in ML engineering, with a proven track record of shipping production AI systems., • Bring deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory., • Apply practical experience implementing distributed, multi‑threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed., • Communicate complex technical concepts effectively and build trust with stakeholders at all levels., • Design and deploy production ML pipelines using DAG frameworks, including custom operator development and pipeline optimization., • Architect and implement high‑throughput, low‑latency microservices with gRPC, REST, and GraphQL, including protocol buffer schema design, streaming endpoints, and load balancing., • Apply hands‑on experience with parameter‑efficient fine‑tuning (LoRA, QLoRA, IA3), model quantization (INT8, FP16, GPTQ), and quantization‑aware training for LLMs at scale., • Demonstrate deep knowledge of distributed training strategies, memory optimization, and inference acceleration for large‑scale multimodal models., • Orchestrate advanced agentic workflows, including multi‑agent coordination, stateful task management, and integration with enterprise event‑driven architectures. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit FAQs for more information about requesting an accommodation. #J-18808-Ljbffr

Step into a pivotal role at the forefront of JP Morgan’s AI transformation. As part of the Chief Analytics Office (CAO), you’ll drive innovation and shape the future of financial technology. You’ll collaborate with talented teams, architect impactful solutions, and see your work deliver measurable results across the firm. This is your opportunity to influence strategy, build production-grade systems, and unlock new possibilities for our clients and stakeholders. Join us and help define the next era of enterprise AI. As a Generative AI Executive Director in the Chief Analytics Office, you will lead the design and delivery of production‑grade LLM systems that power mission‑critical products for thousands of professionals. Your technical leadership will empower teams to innovate and accelerate the adoption of AI at scale. • You will architect scalable APIs and agentic workflows, enabling automation and efficiency across the firm., • Architect and deliver production LLM‑based systems for text, image, speech, and video applications., • Own end‑to‑end delivery, performance, and continuous improvement of LLM Suite products., • Working closely with ML Engineering, Product Management, and Cloud Engineering, you will ensure our AI solutions are reliable, secure, and built for real business impact., • Bridge advanced AI research with robust engineering to build innovative, production‑ready solutions., • Drive results with an entrepreneurial mindset in a fast‑paced, high‑impact environment., • Hold a PhD or possess equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline., • Demonstrate extensive hands‑on experience in ML engineering, with a proven track record of shipping production AI systems., • Bring deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory., • Apply practical experience implementing distributed, multi‑threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed., • Communicate complex technical concepts effectively and build trust with stakeholders at all levels., • Design and deploy production ML pipelines using DAG frameworks, including custom operator development and pipeline optimization., • Architect and implement high‑throughput, low‑latency microservices with gRPC, REST, and GraphQL, including protocol buffer schema design, streaming endpoints, and load balancing., • Apply hands‑on experience with parameter‑efficient fine‑tuning (LoRA, QLoRA, IA3), model quantization (INT8, FP16, GPTQ), and quantization‑aware training for LLMs at scale., • Demonstrate deep knowledge of distributed training strategies, memory optimization, and inference acceleration for large‑scale multimodal models., • Orchestrate advanced agentic workflows, including multi‑agent coordination, stateful task management, and integration with enterprise event‑driven architectures. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit FAQs for more information about requesting an accommodation. #J-18808-Ljbffr

We are seeking a Head of Marketing Intelligence to lead our marketing measurement and analytics strategy. This role is designed for a proven operator who combines deep analytics and data science expertise with hands‑on experience working closely with marketing teams to drive performance. You will be responsible for building scalable attribution frameworks, advancing predictive and probabilistic models, and deploying AI‑driven and automated solutions (including Generative AI) that unearth actionable insights to drive customer growth. This is a senior leadership role with high visibility and direct impact on company growth. • Define and own the marketing intelligence roadmap, • Build and lead a high‑performing team of analysts, engineers, and data scientists, • Partner with Growth, Data, Finance and Product Marketing leadership to enable data‑driven decisions, • Lead the design and deployment of multi-touch attribution (MTA) and probabilistic attribution approaches, • Champion marketing mix modelling (MMM) to measure cross‑channel ROI and incrementality, • Advance predictive analytics for LTV, churn, and customer journey optimisation, leveraging AI‑powered models for greater accuracy, • Deploy AI and machine learning models for anomaly detection, predictive spend optimization, and customer segmentation, • Automated campaign insights ("explain spend efficiency by channel in natural language"), • Dynamic customer journey clustering to identify emerging cohorts, • Generating personalized marketing narratives and creative testing at scale, • Build a culture of automation where insights flow seamlessly into marketing strategy and execution, • Oversee marketing data pipelines and modelling powered by AppsFlyer, Databricks, Google Marketing Platform, and Google BigQuery, • Ensure strong data governance, quality, and compliance with GDPR, CCPA, ATT, and other privacy regulations, • Develop and maintain high‑impact dashboards in Tableau, • Deliver regular insights that guide marketing investment and strategy, supported by automated reporting and GenAI‑driven summaries for executives, • Act as the bridge between advanced AI/ML outputs and marketing strategy, ensuring models directly influence spend and creativity, • Proven operational track record in analytics and data science, with extensive experience in marketing measurement, • Expertise in Attribution modelling (deterministic, probabilistic, MTA) Marketing mix modelling (MMM) AI / ML applications in marketing analytics, • Generative AI solutions for insights automation and customer growth strategies. AppsFlyer, Databricks, Google Marketing Platform, AWS & Google BigQuerySQL and Tableau, • Strong background in data governance, compliance, and privacy frameworks, • Excellent communicator able to simplify #J-18808-Ljbffr

Step into a pivotal role at the forefront of JP Morgan’s AI transformation. As part of the Chief Analytics Office (CAO), you’ll drive innovation and shape the future of financial technology. You’ll collaborate with talented teams, architect impactful solutions, and see your work deliver measurable results across the firm. This is your opportunity to influence strategy, build production-grade systems, and unlock new possibilities for our clients and stakeholders. Join us and help define the next era of enterprise AI. As a Generative AI Executive Director in the Chief Analytics Office, you will lead the design and delivery of production‑grade LLM systems that power mission‑critical products for thousands of professionals. Your technical leadership will empower teams to innovate and accelerate the adoption of AI at scale. • You will architect scalable APIs and agentic workflows, enabling automation and efficiency across the firm., • Architect and deliver production LLM‑based systems for text, image, speech, and video applications., • Own end‑to‑end delivery, performance, and continuous improvement of LLM Suite products., • Working closely with ML Engineering, Product Management, and Cloud Engineering, you will ensure our AI solutions are reliable, secure, and built for real business impact., • Bridge advanced AI research with robust engineering to build innovative, production‑ready solutions., • Drive results with an entrepreneurial mindset in a fast‑paced, high‑impact environment., • Hold a PhD or possess equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline., • Demonstrate extensive hands‑on experience in ML engineering, with a proven track record of shipping production AI systems., • Bring deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory., • Apply practical experience implementing distributed, multi‑threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed., • Communicate complex technical concepts effectively and build trust with stakeholders at all levels., • Design and deploy production ML pipelines using DAG frameworks, including custom operator development and pipeline optimization., • Architect and implement high‑throughput, low‑latency microservices with gRPC, REST, and GraphQL, including protocol buffer schema design, streaming endpoints, and load balancing., • Apply hands‑on experience with parameter‑efficient fine‑tuning (LoRA, QLoRA, IA3), model quantization (INT8, FP16, GPTQ), and quantization‑aware training for LLMs at scale., • Demonstrate deep knowledge of distributed training strategies, memory optimization, and inference acceleration for large‑scale multimodal models., • Orchestrate advanced agentic workflows, including multi‑agent coordination, stateful task management, and integration with enterprise event‑driven architectures. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit FAQs for more information about requesting an accommodation. #J-18808-Ljbffr

Step into a pivotal role at the forefront of JP Morgan’s AI transformation. As part of the Chief Analytics Office (CAO), you’ll drive innovation and shape the future of financial technology. You’ll collaborate with talented teams, architect impactful solutions, and see your work deliver measurable results across the firm. This is your opportunity to influence strategy, build production-grade systems, and unlock new possibilities for our clients and stakeholders. Join us and help define the next era of enterprise AI. As a Generative AI Executive Director in the Chief Analytics Office, you will lead the design and delivery of production‑grade LLM systems that power mission‑critical products for thousands of professionals. Your technical leadership will empower teams to innovate and accelerate the adoption of AI at scale. • You will architect scalable APIs and agentic workflows, enabling automation and efficiency across the firm., • Architect and deliver production LLM‑based systems for text, image, speech, and video applications., • Own end‑to‑end delivery, performance, and continuous improvement of LLM Suite products., • Working closely with ML Engineering, Product Management, and Cloud Engineering, you will ensure our AI solutions are reliable, secure, and built for real business impact., • Bridge advanced AI research with robust engineering to build innovative, production‑ready solutions., • Drive results with an entrepreneurial mindset in a fast‑paced, high‑impact environment., • Hold a PhD or possess equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline., • Demonstrate extensive hands‑on experience in ML engineering, with a proven track record of shipping production AI systems., • Bring deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory., • Apply practical experience implementing distributed, multi‑threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed., • Communicate complex technical concepts effectively and build trust with stakeholders at all levels., • Design and deploy production ML pipelines using DAG frameworks, including custom operator development and pipeline optimization., • Architect and implement high‑throughput, low‑latency microservices with gRPC, REST, and GraphQL, including protocol buffer schema design, streaming endpoints, and load balancing., • Apply hands‑on experience with parameter‑efficient fine‑tuning (LoRA, QLoRA, IA3), model quantization (INT8, FP16, GPTQ), and quantization‑aware training for LLMs at scale., • Demonstrate deep knowledge of distributed training strategies, memory optimization, and inference acceleration for large‑scale multimodal models., • Orchestrate advanced agentic workflows, including multi‑agent coordination, stateful task management, and integration with enterprise event‑driven architectures. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit FAQs for more information about requesting an accommodation. #J-18808-Ljbffr

Step into a pivotal role at the forefront of JP Morgan’s AI transformation. As part of the Chief Analytics Office (CAO), you’ll drive innovation and shape the future of financial technology. You’ll collaborate with talented teams, architect impactful solutions, and see your work deliver measurable results across the firm. This is your opportunity to influence strategy, build production-grade systems, and unlock new possibilities for our clients and stakeholders. Join us and help define the next era of enterprise AI. As a Generative AI Executive Director in the Chief Analytics Office, you will lead the design and delivery of production‑grade LLM systems that power mission‑critical products for thousands of professionals. Your technical leadership will empower teams to innovate and accelerate the adoption of AI at scale. • You will architect scalable APIs and agentic workflows, enabling automation and efficiency across the firm., • Architect and deliver production LLM‑based systems for text, image, speech, and video applications., • Own end‑to‑end delivery, performance, and continuous improvement of LLM Suite products., • Working closely with ML Engineering, Product Management, and Cloud Engineering, you will ensure our AI solutions are reliable, secure, and built for real business impact., • Bridge advanced AI research with robust engineering to build innovative, production‑ready solutions., • Drive results with an entrepreneurial mindset in a fast‑paced, high‑impact environment., • Hold a PhD or possess equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline., • Demonstrate extensive hands‑on experience in ML engineering, with a proven track record of shipping production AI systems., • Bring deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory., • Apply practical experience implementing distributed, multi‑threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed., • Communicate complex technical concepts effectively and build trust with stakeholders at all levels., • Design and deploy production ML pipelines using DAG frameworks, including custom operator development and pipeline optimization., • Architect and implement high‑throughput, low‑latency microservices with gRPC, REST, and GraphQL, including protocol buffer schema design, streaming endpoints, and load balancing., • Apply hands‑on experience with parameter‑efficient fine‑tuning (LoRA, QLoRA, IA3), model quantization (INT8, FP16, GPTQ), and quantization‑aware training for LLMs at scale., • Demonstrate deep knowledge of distributed training strategies, memory optimization, and inference acceleration for large‑scale multimodal models., • Orchestrate advanced agentic workflows, including multi‑agent coordination, stateful task management, and integration with enterprise event‑driven architectures. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit FAQs for more information about requesting an accommodation. #J-18808-Ljbffr

Step into a pivotal role at the forefront of JP Morgan’s AI transformation. As part of the Chief Analytics Office (CAO), you’ll drive innovation and shape the future of financial technology. You’ll collaborate with talented teams, architect impactful solutions, and see your work deliver measurable results across the firm. This is your opportunity to influence strategy, build production-grade systems, and unlock new possibilities for our clients and stakeholders. Join us and help define the next era of enterprise AI. As a Generative AI Executive Director in the Chief Analytics Office, you will lead the design and delivery of production‑grade LLM systems that power mission‑critical products for thousands of professionals. Your technical leadership will empower teams to innovate and accelerate the adoption of AI at scale. • You will architect scalable APIs and agentic workflows, enabling automation and efficiency across the firm., • Architect and deliver production LLM‑based systems for text, image, speech, and video applications., • Own end‑to‑end delivery, performance, and continuous improvement of LLM Suite products., • Working closely with ML Engineering, Product Management, and Cloud Engineering, you will ensure our AI solutions are reliable, secure, and built for real business impact., • Bridge advanced AI research with robust engineering to build innovative, production‑ready solutions., • Drive results with an entrepreneurial mindset in a fast‑paced, high‑impact environment., • Hold a PhD or possess equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline., • Demonstrate extensive hands‑on experience in ML engineering, with a proven track record of shipping production AI systems., • Bring deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory., • Apply practical experience implementing distributed, multi‑threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed., • Communicate complex technical concepts effectively and build trust with stakeholders at all levels., • Design and deploy production ML pipelines using DAG frameworks, including custom operator development and pipeline optimization., • Architect and implement high‑throughput, low‑latency microservices with gRPC, REST, and GraphQL, including protocol buffer schema design, streaming endpoints, and load balancing., • Apply hands‑on experience with parameter‑efficient fine‑tuning (LoRA, QLoRA, IA3), model quantization (INT8, FP16, GPTQ), and quantization‑aware training for LLMs at scale., • Demonstrate deep knowledge of distributed training strategies, memory optimization, and inference acceleration for large‑scale multimodal models., • Orchestrate advanced agentic workflows, including multi‑agent coordination, stateful task management, and integration with enterprise event‑driven architectures. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit FAQs for more information about requesting an accommodation. #J-18808-Ljbffr

Step into a pivotal role at the forefront of JP Morgan’s AI transformation. As part of the Chief Analytics Office (CAO), you’ll drive innovation and shape the future of financial technology. You’ll collaborate with talented teams, architect impactful solutions, and see your work deliver measurable results across the firm. This is your opportunity to influence strategy, build production-grade systems, and unlock new possibilities for our clients and stakeholders. Join us and help define the next era of enterprise AI. As a Generative AI Executive Director in the Chief Analytics Office, you will lead the design and delivery of production‑grade LLM systems that power mission‑critical products for thousands of professionals. Your technical leadership will empower teams to innovate and accelerate the adoption of AI at scale. • You will architect scalable APIs and agentic workflows, enabling automation and efficiency across the firm., • Architect and deliver production LLM‑based systems for text, image, speech, and video applications., • Own end‑to‑end delivery, performance, and continuous improvement of LLM Suite products., • Working closely with ML Engineering, Product Management, and Cloud Engineering, you will ensure our AI solutions are reliable, secure, and built for real business impact., • Bridge advanced AI research with robust engineering to build innovative, production‑ready solutions., • Drive results with an entrepreneurial mindset in a fast‑paced, high‑impact environment., • Hold a PhD or possess equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline., • Demonstrate extensive hands‑on experience in ML engineering, with a proven track record of shipping production AI systems., • Bring deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory., • Apply practical experience implementing distributed, multi‑threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed., • Communicate complex technical concepts effectively and build trust with stakeholders at all levels., • Design and deploy production ML pipelines using DAG frameworks, including custom operator development and pipeline optimization., • Architect and implement high‑throughput, low‑latency microservices with gRPC, REST, and GraphQL, including protocol buffer schema design, streaming endpoints, and load balancing., • Apply hands‑on experience with parameter‑efficient fine‑tuning (LoRA, QLoRA, IA3), model quantization (INT8, FP16, GPTQ), and quantization‑aware training for LLMs at scale., • Demonstrate deep knowledge of distributed training strategies, memory optimization, and inference acceleration for large‑scale multimodal models., • Orchestrate advanced agentic workflows, including multi‑agent coordination, stateful task management, and integration with enterprise event‑driven architectures. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit FAQs for more information about requesting an accommodation. #J-18808-Ljbffr

hackajob is partnering directly with loveholidays to hire for this role. Why loveholidays? At loveholidays - we trailblaze together. We're on a mission to open the world to everyone, giving our customers' unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers' personal holiday expert - the smart way to get away. We're using progressive tech to drive cutting-edge innovation and open the world to everyone. Within our Commercial and Support teams, you'll find a place to accelerate your growth by actively seeking learning opportunities and carving your own path. You'll create impact for our future by owning projects and shaping the business strategy to reach shared goals, all within our enhanced international community of collaborative and passionate teams. The impact you'll have: As our Senior CRM Executive, you will be at the forefront of the shift in how we engage with millions of travelers worldwide. This isn't about managing business as usual emails and newsletters; it is a position for a change-maker who wants to bridge the gap between high-level strategy and high-level automation. You will have the autonomy to challenge the status quo, moving us away from legacy campaign cycles toward a sophisticated, unified customer engine. You will operationalise AI-driven workflows and advanced lifecycle orchestration, ensuring every interaction across app, web and marketing channels is seamless and purposeful. We are looking for a reliable, high-velocity operator who can turn ideas into live journeys. Your day-to-day: You'll be building and managing sophisticated, multi-channel automated journeys that utilise branching logic, API triggers, and real-time data. Act as a change-maker by identifying manual bottlenecks and implementing AI-assisted workflows, using tools like n8n and Claude (training will be provided). You'll dive deep into our CRM tools like Braze to find the optimisation opportunities. You are someone who thrives on unpicking the process to make delivery faster, more accurate, and more autonomous. Provide expert support to the wider team in deploying campaigns. While you'll be building for the future, you'll also ensure bulletproof execution today through rigorous (yet increasingly automated) QA processes. Collaborate with Product and Engineering to ensure our workstreams are aligned, creating a frictionless experience from search to rebooking. You will own the performance of your campaigns. You'll be comfortable diving into Looker to build your own reports, monitor health metrics, and translate raw data into actionable insights that prove incremental lift. Your skillset: You are a self-starter who takes full ownership of the execution lifecycle. You don't just wait for instructions; you identify opportunities and deliver with consistency and precision. You thrive in a high-growth environment. You have the ability to move from concept to deployment rapidly, maintaining high standards without slowing down. You are naturally curious and constantly look for ways to evolve processes, replace manual tasks with automation, and improve the status quo. You aren't afraid of a dashboard. You have experience with Looker, Tableau, or SQL. Hands-on experience with Braze or similar. You should be comfortable with Liquid logic, audience segmentation and personalisation. You are comfortable working with data models and propensity scores to drive hyper-relevant segmentation and measure incremental lift. The ability to work seamlessly across Marketing, Product, and Engineering teams to deliver a unified personalised customer journey. The interview journey: Introduction with a member of the TA team - 30 mins 1st Stage Interview with Head of CRM - 45 mins A 60-minute session presenting your task to our Head of CRM and VP of Performance Marketing, followed by a 30-minute interview with our People Team and a Senior Marketing Manager Perks of joining us: Company pension contributions at 5%. Individualised training budget for you to learn on the job and level yourself up. Discounted holidays for you, your family and friends. 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum. Ability to buy and sell annual leave. Cycle to work scheme, season ticket loan and eye care vouchers. At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey. JBRP1_UKTJ

Senior Data Analyst / Business Analyst (Technical) Role: Senior Data Analyst / BA (Hybrid – London, 3 days in office) Clearance: Active SC Clearance Required Salary: £75,000 – £85,000 + 10% Bonus + Benefits Location: London Role Overview We are seeking a Security Cleared (SC) Senior Data Business Analyst with strong hands-on technical capabilities to bridge the gap between regulatory requirements and core data architecture. Embedded within a live testing programme for a major new regulatory reporting regime, you will drive supervisory effectiveness by translating complex entity and regulatory data into actionable insights, automated tools, and production-ready analytical blueprints. This position acts as the functional and analytical bridge between Supervision teams, Data Engineering, and Business Stakeholders—gathering requirements, validating data models, running complex SQL analysis, and delivering self-service Tableau intelligence. Key Responsibilities • Business Analysis & Requirements Engineering: Lead workshops with Supervision teams and business stakeholders to translate complex regulatory challenges into clear business/technical requirements, functional specifications, and analytical blueprints., • Hands-on Data Analysis & Validation: Query, profile, and blend large-scale, multi-source regulatory datasets (authorisations, holdings, transactions) using SQL to identify anomalies, test data quality, and model business logic., • Programme & Systems Acceptance Testing: Lead systems acceptance testing (UAT) for the new regulatory reporting regime, ensuring data usability, robust validation controls, and alignment with supervisory operational needs., • Data Visualisation & Automation: Design and build automated, self-service Tableau/Power BI dashboards and Management Information (MI) to transition business teams away from manual spreadsheet tracking., • External Integration & Enrichment: Oversee dataset enrichment by validating Legal Entity Identifiers (LEIs) and integrating external data feeds (GLEIF, Companies House, market proxies)., • Future-State Capability: Support the evolution of the platform’s analytics maturity by specifying continuous monitoring tools, predictive early-warning indicators, and automated reporting frameworks. Technical & Functional Experience • SQL & Data Analysis: Strong hands-on SQL skills for querying, analyzing, and profiling large-scale data across complex, multi-source environments., • Cloud & Modern Data Stack: Working familiarity with cloud-based data environments (specifically AWS services like S3, Athena, and DynamoDB)., • BI & Visualisation: Proven experience developing interactive dashboards and reporting tools in Tableau or Power BI., • Data Business Analysis: Proven track record in requirement gathering, process mapping, UAT/testing management, and bridging business needs with technical delivery., • Data Quality & Governance: Solid understanding of data validation, quality frameworks, LEI structures, and core data architecture principles within large institutions., • Domain Knowledge: Demonstrable background within Financial Services, Central Banking, or Regulatory Data Regimes., • Security Clearance: Active Security Clearance (SC) is mandatory for this role. Core Competencies • Stakeholder Management: Exceptional capability to reconcile competing business priorities, run effective workshops, and communicate technical concepts clearly to non-technical stakeholders., • Proactive Ownership: Self-directed operator who can establish analytical direction, maintain delivery momentum, and resolve complex roadblocks with minimal oversight., • Strategic Agility: Ability to rapidly absorb complex domain knowledge, adapt to shifting regulatory priorities, and drive cross-functional alignment

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In Return, the Machine Operator Will Receive. An excellent opportunity has become available for an experienced Machine Operators to join a market-leading manufacturer based in York. As a result of sustained business growth, they are now looking to strengthen their team with the addition of some Mach

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Support training of new operators and continuous improvement initiatives.

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