Deep learning jobs in AthertonCreate job alerts

Higher Level Teaching Assistant (HLTA) \n Location: Tyldesley \n Start Date: End of September \n Salary: Competitive, based on experience \n About the Role \n Are you an experienced Higher Level Teaching Assistant (HLTA) looking for a full-time role? \n Tradewind Recruitment are currently seeking a versatile and passionate HLTA for a welcoming primary school based on the outskirts of Wigan. This is a full-time position working 5 days a week, starting at the end of September. \n As an HLTA, you will play a pivotal role across the school, stepping in to lead classrooms and maintain a high standard of learning in the absence of the class teacher or during scheduled PPA time. \n Key Responsibilities: \n Delivering pre-planned lessons across Nursery and reception. \n Managing classroom behaviour effectively, ensuring a safe and productive learning environment. \n Collaborating with teaching assistants and class teachers to provide feedback on pupil progress. \n What the School is Looking For: \n Confident classroom presence with excellent behaviour management skills. \n Strong communication skills and the ability to build quick rapport with pupils and staff. \n A deep commitment to supporting children of all learning abilities. \n What the School Can Offer You: \n A friendly, inclusive school community with a strong team ethos. \n A varied and rewarding role where no two days are the same. \n Dedicated support from the senior leadership team. \n What We're Looking For \n A formal HLTA qualification (or equivalent experience/teaching qualification). \n This position is subject to an Enhanced DBS Disclosure, Overseas Police Clearances (if applicable) and professional reference checks \n Your CV must cover the last 10 years of employment history where possible and any employment breaks must be explained \n You must have the legal right to work in the UK \n Why Register with Tradewind Recruitment? \n Free CPD Courses: Access to top-tier, certified professional development courses to boost your CV and skills. \n Competitive Pay: Honest, transparent weekly pay rates that reflect your experience. \n A Personal Touch: Your own dedicated consultant to guide you through the vetting process and support you throughout your placement. \n How to Apply \n If you are a flexible and driven HLTA ready for a fantastic new opportunity in Wigan this September, we would love to hear from you! \n Click 'Apply Now' to be considered for this great position, or for more information about the role, contact Lindsey on or \n

About the Job \n ML Research PhD Expert \n Location: Remote \n Engagement Type: Hourly Contract \n Compensation: $60–$100/hour \n About the Opportunity \n This opportunity is for accomplished Machine Learning Researchers with publications at top-tier AI conferences including ICML, NeurIPS, and ICLR. You will contribute to advanced AI research projects by applying your expertise in frontier machine learning, helping improve the reasoning, learning, and problem-solving capabilities of next-generation AI systems. \n The role is focused on researchers with a strong track record of original ML contributions and algorithmic innovation rather than purely applied analytics work. \n Ideal Qualifications \n • PhD in Machine Learning, Artificial Intelligence, Computer Science, or a closely related field. \n • At least one published paper at ICML, NeurIPS, or ICLR. \n • Strong preference for candidates with multiple publications at these venues. \n • Demonstrated experience conducting original machine learning research. \n • Deep understanding of modern machine learning theory, algorithms, and model development. \n • Excellent analytical, research, and scientific communication skills. \n • Ability to work independently in a fast-paced research environment. \n Responsibilities \n • Apply advanced machine learning expertise to support frontier AI research initiatives. \n • Review, analyze, and evaluate research-level machine learning content and methodologies. \n • Develop high-quality technical insights, evaluations, and research deliverables. \n • Assess AI-generated outputs for technical accuracy, reasoning quality, and scientific rigor. \n • Contribute expert feedback to improve model performance and research quality. \n • Collaborate with researchers and project teams on challenging machine learning problems. \n • Help create high-quality data and evaluation frameworks for advanced AI systems. \n Preferred Research Areas \n • Reinforcement Learning (RL). \n • Meta-Learning. \n • Recursive Self-Improvement. \n • AI for Science. \n • Scientific Discovery and Simulation. \n • Weather Forecasting and Climate Modeling. \n • Protein Modeling and Computational Biology. \n • Foundation Models and Advanced Learning Systems. \n Preferred Qualifications \n • Multiple publications at ICML, NeurIPS, ICLR, or equivalent top-tier conferences. \n • Experience leading or contributing to frontier ML research projects. \n • Strong publication record in machine learning, AI, or computational sciences. \n • Experience mentoring researchers, reviewing papers, or contributing to research communities. \n • Familiarity with AI evaluation, benchmark development, or model assessment projects. \n Project Details \n • Fully remote and flexible schedule. \n • Independent contractor engagement. \n • Opportunity for ongoing research collaborations based on performance and project needs. \n Compensation \n • Competitive compensation of $60–$100/hour. \n • Weekly payments. \n • Independent contractor engagement. \n Application Process \n\n • Easy Apply on LinkedIn.\n, • Check Email for Next Steps.\n, • Participate in Resume Evaluation & Research Assessment Stage.\n\n

About Realityjam \n Realityjam is a UK-based game development studio and multiplayer game development platform on a mission to reimagine how games are made and how careers in the industry are built. \n Our Industry Access Program is a two-year pathway that empowers the next generation of devs, artists, and creators to forge careers with our studio. Learners work on live MMO titles from day one, earning credits on published games while developing professional-grade skills in a fully remote, community-driven environment in preparation for full time employment post course completion. \n We are now looking for an experienced Unity & C Sharp Trainer / Lecturer with experience as a trainer to join our growing pool of specialist trainers. \n \n The Role \n As a Unity & C Sharp Trainer you will deliver approximately 8 hours of structured, hands-on training per week to cohorts of aspiring junior game developers and technical artists working through the Realityjam Industry Access Program, during UK business hours. \n \n Your sessions will blend practical instruction with real-world context — learners are actively contributing to live game projects, so your teaching will be grounded in production-grade Unity workflows rather than abstract theory. You will report to the Programme Lead and work collaboratively with the wider training team to ensure session content aligns with the programme's curriculum and learning outcomes. \n This is a freelance, remote role ideally suited to a working games professional who wants to share their expertise, shape the next generation of technical artists, and be part of a movement redefining game development careers. \n \n Key Responsibilities \n \n Training Delivery \n\n • Deliver one structured training day per week (approx 8 hours) covering Unity development and C Sharp fundamentals and intermediate workflows.\n, • Educational content and learning materials have been planned and produced by our team, you'll be required to deliver this content using our own bespoke learning environment.\n, • Deliver live, remote-first sessions that are practical, engaging, and rooted in industry-standard production pipelines.\n, • Set and assess learner exercises, portfolio tasks, and project milestones aligned with programme learning outcomes.\n, • Adapt session content to the varying skill levels and backgrounds of learners across the three programme pathways (Scion Foundation, Published Game, and 2 Years Experience tracks).\n, • Where required help contribute to curriculum design and educational content design in a consultative manner.\n\n \n Learner Support \n\n • Provide feedback and guidance to learners on their work, helping them build portfolios that reflect genuine production quality.\n, • Flag learner progress, attendance, or wellbeing concerns to the Programme Lead in a timely manner.\n, • Participate in occasional programme team check-ins and trainer briefings as required.\n\n \n Primary Training Tools \n Training sessions will be built around Unity and Visual Studio. \n \n Desirable Skills & Experience \n\n • Demonstrable professional experience as a Unity dev within the games industry, with a portfolio of shipped or in-development work.\n, • Deep understanding of multiplayer game dev pipelines\n, • Ability to communicate complex technical concepts clearly to learners at different skill levels.\n, • Self-directed and reliable — able to plan and deliver sessions with minimal oversight in a remote environment.\n, • Comfortable working asynchronously and communicating via Discord and remote collaboration tols.\n, • Previous experience in training, mentoring, or education — formal or informal.\n, • Familiarity with MMO or online game art pipelines and the specific constraints they involve.\n, • Knowledge of shader graph, VFX graph, or procedural material creation workflows.\n, • Interest in game development access, diversity, or community-building initiatives.\n\n \n What We Offer \n\n • A rate of £250 + VAT per 8 hour day (or part thereof paid pro rata)\n, • Fully remote delivery with flexible scheduling agreed directly with the Programme Lead.\n, • The opportunity to shape the technical art skills of the next generation of game developers from day one of their careers.\n

About the Job ML Research PhD Expert Location: Remote Engagement Type: Hourly Contract Compensation: $60–$100/hour About the Opportunity This opportunity is for accomplished Machine Learning Researchers with publications at top-tier AI conferences including ICML, NeurIPS, and ICLR. You will contribute to advanced AI research projects by applying your expertise in frontier machine learning, helping improve the reasoning, learning, and problem-solving capabilities of next-generation AI systems. The role is focused on researchers with a strong track record of original ML contributions and algorithmic innovation rather than purely applied analytics work. Ideal Qualifications • PhD in Machine Learning, Artificial Intelligence, Computer Science, or a closely related field., • At least one published paper at ICML, NeurIPS, or ICLR., • Strong preference for candidates with multiple publications at these venues., • Demonstrated experience conducting original machine learning research., • Deep understanding of modern machine learning theory, algorithms, and model development., • Excellent analytical, research, and scientific communication skills., • Ability to work independently in a fast-paced research environment. Responsibilities • Apply advanced machine learning expertise to support frontier AI research initiatives., • Review, analyze, and evaluate research-level machine learning content and methodologies., • Develop high-quality technical insights, evaluations, and research deliverables., • Assess AI-generated outputs for technical accuracy, reasoning quality, and scientific rigor., • Contribute expert feedback to improve model performance and research quality., • Collaborate with researchers and project teams on challenging machine learning problems., • Help create high-quality data and evaluation frameworks for advanced AI systems. Preferred Research Areas • Reinforcement Learning (RL)., • Meta-Learning., • Recursive Self-Improvement., • AI for Science., • Scientific Discovery and Simulation., • Weather Forecasting and Climate Modeling., • Protein Modeling and Computational Biology., • Foundation Models and Advanced Learning Systems. Preferred Qualifications • Multiple publications at ICML, NeurIPS, ICLR, or equivalent top-tier conferences., • Experience leading or contributing to frontier ML research projects., • Strong publication record in machine learning, AI, or computational sciences., • Experience mentoring researchers, reviewing papers, or contributing to research communities., • Familiarity with AI evaluation, benchmark development, or model assessment projects. Project Details • Fully remote and flexible schedule., • Independent contractor engagement., • Opportunity for ongoing research collaborations based on performance and project needs. Compensation • Competitive compensation of $60–$100/hour., • Weekly payments., • Independent contractor engagement. Application Process • Easy Apply on LinkedIn., • Check Email for Next Steps., • Participate in Resume Evaluation & Research Assessment Stage.

About the role PTS is a global leader in enterprise technology and IT infrastructure, and we're looking for an experienced Instructional Designer to join our courseware team on a permanent, part-time basis. You'll design and develop technical training that helps engineers, partners, and customers get the most from complex enterprise products and solutions. This is a fully remote, part-time role with genuinely flexible hours. It's important to note that while the role is part-time on average, workload can be project-driven — so there will be busier periods where full-time (or close to full-time) hours are needed to hit delivery deadlines, balanced by quieter stretches. We're looking for someone who can flex with the courseware pipeline, and we'll always give as much notice as possible ahead of busier phases. What you'll do • Design, develop, and maintain high-quality technical courseware — instructor-led, virtual, and self-paced e-learning, • Work closely with subject matter experts to translate complex enterprise technology into clear, engaging learning, • Apply sound instructional design principles (e.g. ADDIE, SAM) and adult learning theory to build effective learner outcomes, • Develop and refine assessments, labs, and hands-on exercises that reflect real-world enterprise scenarios, • Review and refresh existing materials to keep pace with evolving products and technologies, • Ensure consistency, accuracy, and quality across the courseware portfolio What we're looking for • Proven experience as an Instructional Designer developing enterprise courseware — ideally in a technical or IT environment, • Strong understanding of the enterprise technology landscape: server, storage, networking, hybrid cloud, data centre, and IT infrastructure concepts, • Confident working with technical SMEs and turning deep technical detail into structured, learner-friendly content, • Hands-on experience with authoring tools (e.g. Articulate Storyline/Rise, Captivate, or similar) and LMS platforms, • Proven ability to work to comprehensive style guides and branding guidelines, maintaining strict consistency across a large body of materials, • Excellent written U.S. English and a sharp eye for accuracy and detail, • Self-directed and comfortable managing your own workload in a remote setting, • Able to flex your hours to meet project deadlines during busier periods Nice to have • Experience developing training for enterprise IT vendors or their partner/channel ecosystems, • Familiarity with technical certification programmes, • Relevant industry certifications or an instructional design qualification The details • Type: Permanent, • Hours: Part-time on average, with flexibility to scale up to full-time during peak delivery periods — hours negotiable for the right candidate, • Location: Fully remote, • Salary: Competitive, dependent on experience If you're an instructional designer who knows enterprise technology and enjoys making complex subjects click, we'd love to hear from you.

At UK Tote Group, we’re on a mission to reimagine the future of pool betting — building a modern, data-driven betting experience for millions of racing fans. Our technology powers real-time insights, supports responsible gaming, and helps us deliver trusted, customer-first products across the UK and international markets. As a Data Engineer, you’ll play a key role in designing, building, and optimising the Databricks-based Lakehouse that drives real-time data, analytics, and reporting across the Tote.You’ll build streaming and batch data pipelines on AWS using Apache Spark Structured Streaming, Delta Live Tables (DLT), and Kafka (MSK), ensuring our business teams across Liquidity, Product, Marketing, Finance, and Compliance have fast, trusted data at their fingertips. This is a hands-on engineering role where you’ll collaborate across engineering, BI, and product teams to deliver scalable, secure, and governed data solutions under Unity Catalogue.What you’ll be doing:You’ll design, build, and optimise data pipelines using Databricks, Spark Structured Streaming, and Delta Live Tables to ensure data flows efficiently and reliably across the organisation. By applying the Medallion Architecture, you’ll develop robust Bronze, Silver, and Gold Delta tables that serve as the foundation for analytics, APIs, and decision-making tools. You’ll integrate data from Kafka (MSK), AWS S3, and external APIs, ensuring seamless ingestion into the Lakehouse.You’ll work closely with BI teams to enable high-performance Power BI dashboards through Databricks SQL Warehouses, making data more accessible and actionable across the business. You’ll ensure that all data is governed, discoverable, and secure under Unity Catalog, and you’ll contribute to continuous delivery by implementing and maintaining CI/CD pipelines for Databricks jobs, notebooks, and DLT workflows.Monitoring, tuning, and troubleshooting pipeline performance will also be part of your day-to-day, using Databricks metrics, CloudWatch, and AWS Cost Explorer to ensure optimal performance and efficiency. You’ll document data models, schemas, and lineage, maintaining a clear understanding of data flows and dependencies. Alongside Compliance and Technology colleagues, you’ll help ensure the platform remains fully compliant with GDPR and Gambling Commission regulations. Finally, you’ll champion best practices in data platform design, observability, and cost management, helping shape the future of the Tote’s data ecosystem.What we are looking for:We’re looking for an experienced Data Engineer with proven expertise in building pipelines in Databricks and a strong grasp of Apache Spark, whether in PySpark or Scala, including Structured Streaming. You should have experience with Kafka (MSK) and real-time data ingestion, as well as a deep understanding of Delta Lake, Delta Live Tables, and the Medallion Architecture. A strong AWS background is important, particularly with services such as S3, Glue, Lambda, Batch, and IAM.You’ll need to be proficient in Python and SQL for data engineering and analytics, and comfortable implementing CI/CD pipelines using tools such as GitHub Actions, Azure DevOps, or Jenkins. Solid experience with Git, version control, and Spark performance tuning will help you succeed in this role. Most importantly, you’ll bring a collaborative, proactive attitude and an ability to balance platform reliability with the pace of delivery.It would be an advantage if you have experience working with streaming architectures or data governance frameworks like Unity Catalog. Familiarity with Power BI, Looker, or Tableau is desirable, as is exposure to Databricks REST APIs, Airflow, or Databricks Workflows. Knowledge of infrastructure-as-code tools such as Terraform, AWS networking fundamentals, and cost management techniques using Photon and DBU monitoring will also be beneficial.You’ll be analytical, detail-oriented, and motivated by solving complex data challenges. A self-starter by nature, you take ownership of your work and enjoy designing end-to-end solutions that deliver measurable value. You’re a great communicator who can explain data concepts clearly to both technical and non-technical colleagues, and you have a passion for automation, efficiency, and data quality. Most of all, you’re curious and committed to continuous learning within a fast-evolving cloud data landscape.What’s in it for you?At the Tote you can expect a friendly working environment with a strong sense of teamwork and pride in what we do. Within this role you’ll develop a broad range of skills and experiences that can enhance your career at the Tote. Additionally, our company benefits package includes;Competitive Basic SalaryDiscretionary Bonus SchemeCompany Shares Option PlanContributory pension schemeLife insurance (4 x basic salary)Simply Health Cash PlanHoliday entitlement (33 days inclusive of bank holidays)Study Support and opportunity for progression and developmentConfidential 24/7 365 employee assistance helplineAgile and collaborative office environment with free parking, fruit, biscuits, and drinksRegular social events, charity events and volunteering opportunities

Support Worker - Male Location: Golborne, Wigan WA3 2PZ Rate: £13.45 per hour Permanent | Full-time | 37.5 to 42 Please note: We may be unable to support applications where Home Office visa restrictions prevent candidates from meeting the full contractual hours or requirements of the role. ‘Extraordinary Days, Every Day’ At CareTech, we are committed to delivering Extraordinary Days, Every Day through high-quality, person-centred care. Our focus is on empowering independence, building confidence and life skills, and supporting people to live fulfilling lives in environments that best suit their needs. We are recruiting Support Workers to join our service in Golborne, Wigan, supporting adults with learning disabilities, autism, and mental health needs. Whether you’re new to care or experienced, this is an opportunity to build a rewarding, long-term career - any truly make a difference! About the Service – St Lukes St Lukes is a supported living service which provides care and support for people with learning disabilities and/or autistic spectrum disorder who enjoy a wide range of hobbies from Bowling and Swimming to Dance and Music., There is easy access to public transport and it is close to local shops. Service User Interests The people we support enjoy a wide range of activities, and Support Workers play a vital role in enabling these experiences, including: Arts and crafts Days out such as Theme Parks, Meals out, Social activities, Christmas markets etc. Holidays and short breaks Walks in the local park and community Cooking and baking to develop life skillsThe Role You will: Deliver person-centred support in line with individual support plans Assist with daily living skills and personal care where required Promote independence, dignity, and wellbeing Support activities, appointments, and community access Maintain accurate records and work effectively as part of a team Who We’re Looking For We’re seeking people who are caring, patient, and respectful, with a positive and resilient approach. You should be confident working independently and within a team, have good communication skills, basic IT and written abilities, and be flexible and reliable. Requirements Experience in a Supported Living Environment is essential Willingness to work towards a Health & Social Qualification Ability to work unsociable hours on a rota basis Drivers desirable but not essential Enhanced DBS required (paid for by CareTech)What We Offer Recommend A Friend Bonus Up to 28 Days Holiday, inclusive of Bank Holidays Free DBS Check Blue Light Card Stakeholder Pension Free Employee Assistance Programme Annual Employee Awards Evening Employee Recognition Schemes Ongoing training with clear career progression opportunities, including access to qualifications up to degree level CareTech Foundation - Opportunity to apply for family and friend’s grantOur Values Friendly Positive Innovative Empowering Person-CentredApply today to join a friendly, empowering organisation committed to person-centred support and creating Extraordinary Days, Every Day. About CareTech Founded in 1993, CareTech is one of the largest and most reputable specialist social care and special education needs providers across the UK. The Group has a track record of more than 30 years, delivering high quality, person-centred care to those with complex needs. The Group was founded by brother Haroon and Farouq Sheikh, who continue to lead CareTech today, providing continuity of leadership, long term stability and a deep personal commitment to the people we support. CareTech Community Services are proud to inform you that they are a Disability Confident Leader. Due to the high volume of applications, only shortlisted candidates will be contacted within 7–10 days. Some roles may require male or female employees only, where this is a genuine occupational requirement in accordance with the Equality Act 2010. Strictly no agencies Golborne - Support Worker - M

Support Worker Location - Golborne £13.45 per hour - £7.60 per waking night sleep Permanent | Full-time | 37.5 hours per week plus (rota-based) Please note: We may be unable to support applications where Home Office visa restrictions prevent candidates from meeting the full contractual hours or requirements of the role. ‘Extraordinary Days, Every Day’ At CareTech, we are committed to delivering Extraordinary Days, Every Day through high-quality, person-centred care. Our focus is on empowering independence, building confidence and life skills, and supporting people to live fulfilling lives in environments that best suit their needs. We are recruiting Support Workers to join our service in Golborne, supporting adults with learning disabilities, autism, and mental health needs.If you are experienced in care, this is an opportunity to build a rewarding, long-term career - any truly make a difference! About the Service – Ullswater Court Ullswater Court is a registered Supported Living Service made up of self-contained flats, supporting adults aged 18+ in a safe, structured, and supportive environment. The service promotes independence, choice, and wellbeing through tailored, person-centred support. Service User Interests The people we support enjoy a wide range of activities, and Support Workers play a vital role in enabling these experiences, including: Arts and crafts Days out such as Theme Parks, Meals out, Social activities, Christmas markets etc. Holidays and short breaks Walks in the local park and community Cooking and baking to develop life skillsThe Role You will: Deliver person-centred support in line with individual support plans Assist with daily living skills and personal care where required Promote independence, dignity, and wellbeing Support activities, appointments, and community access Maintain accurate records and work effectively as part of a team Work a rota including evenings, weekends, bank holidays, and sleep-insWho We’re Looking For We’re seeking people who are caring, patient, and respectful, with a positive and resilient approach. You should be confident working independently and within a team, have good communication skills, basic IT and written abilities, and be flexible and reliable. Requirements Care sector experience is essential Willingness to work towards Level 2 QCF (Social Care Wales registration) Ability to work unsociable hours on a rota basis Drivers desirable but not essential Enhanced DBS required (paid for by CareTech)What We Offer Recommend A Friend Bonus Up to 28 Days Holiday, inclusive of Bank Holidays Free DBS Check Blue Light Card Stakeholder Pension Free Employee Assistance Programme Annual Employee Awards Evening Employee Recognition Schemes Ongoing training with clear career progression opportunities, including access to qualifications up to degree level CareTech Foundation - Opportunity to apply for family and friend’s grantOur Values Friendly Positive Innovative Empowering Person-CentredApply today to join a friendly, empowering organisation committed to person-centred support and creating Extraordinary Days, Every Day. About CareTech Founded in 1993, CareTech is one of the largest and most reputable specialist social care and special education needs providers across the UK. The Group has a track record of more than 30 years, delivering high quality, person-centred care to those with complex needs. The Group was founded by brother Haroon and Farouq Sheikh, who continue to lead CareTech today, providing continuity of leadership, long term stability and a deep personal commitment to the people we support. CareTech Community Services are proud to inform you that they are a Disability Confident Leader. Due to the high volume of applications, only shortlisted candidates will be contacted within 7–10 days. Some roles may require male or female employees only, where this is a genuine occupational requirement in accordance with the Equality Act 2010

Familiarity with deep learning frameworks (e. Lead engineering efforts on complex research projects in machine learning and artificial intelligence. Extensive experience researching machine learning algorithms and systems.

Saragossa seeks a deep learning-focused quant to join its global investment team in the UK. You will develop machine learning models for trading strategies, build high-quality signals, and collaborate with research to drive growth as headcount expands.

TECH Global LTD is seeking a senior researcher to drive machine learning and AI research efforts in an international semiconductor context.

We are a fast-growing, collaborative team of Data Scientists and Machine Learning Engineers sitting within Technology. Lead complex initiatives to design, train, and deploy batch and real-time machine learning models into well governed production environments. Partner closely with Product Management

This senior role combines deep technical expertise with strategic leadership in a hybrid London-based arrangement.

Deep knowledge of model serving architectures, with the ability to evaluate online, batch, synchronous and asynchronous serving strategies. As a Staff Machine Learning Engineer, you'll provide technical leadership for the ML infrastructure that underpins these capabilities, working across teams to d

Stay current with academic and industry advances in machine learning, NLP, and deep learning, and guide the team in applying them to real-world challenges. Proficiency in machine learning, NLP, and deep learning algorithms, with experience using frameworks such as TensorFlow or PyTorch. With access

Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups. You thrive on deep context and want to understand the fundamental logic behind every

Experience in deep learning, NLP or LLMs; bonus for CUDA or data‑pipeline chops. Conduct experiments on the latest deep‑learning techniques (sparsified 70 B + runs, distributed training on thousands of GPUs). Clustering, Industry, Machine Learning, NLP, Parsing, United Kingdom.

Lead / Principal Machine Learning Engineer. The team partners with large corporates to build machine learning solutions that bring commercial value, automate decisions, and enhance resilience across business operations. Lead technical delivery across multiple applied machine learning projects, inclu

The DUE Machine Learning team will build and operate scalable machine learning and data systems, simulation workflow and insight tools, improve and speed up the evaluation and onboard developer journeys. It will combine expert human judgements and advanced machine learning models to deliver training

Graham Capital in Greater London is looking for a Machine Learning Engineer to join their Data Science team. Candidates should have at least 3 years of experience with Machine Learning on large data sets and proficiency in Python.

Machine learning for search, ranking, recommendations or personalisation. Representation learning, embeddings, semantic retrieval or multimodal ML. Our client is more interested in deep applied ML expertise, production experience and senior technical influence.

Research Engineer, Machine Learning (RL Velocity). This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferenc

You’ll be working on a hugely impactful workstream, focused on the machine learning that underpins our Risk Decisioning feature. Extensive experience building and deploying Machine Learning models to production.

Join us as a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI projects. This role demands a balance of deep technical expertise and strong leadership, focusing on driving innovation, fostering team growth, and building reusable solutions acro

Stay current with academic and industry advances in machine learning, NLP, and deep learning, and guide the team in applying them to real‑world challenges. Proficiency in machine learning, NLP, and deep learning algorithms, with experience using frameworks such as TensorFlow or PyTorch. We are see

Deep expertise in machine learning, with hands‑on experience building and deploying large‑scale systems in production environments. We care deeply about authenticity and want to understand your real skills, judgment and voice, because building a meaningful, genuine connection with you matters to

Learning and development: Budgets for books, courses, and company-wide training to support your continuous growth.

Strong background in classical neural networks and deep learning fundamentals before specializing in modern LLMs and transformer architectures - you understand the foundations, not just the latest tools. Deep Neural Networks Foundation:. Drive the actual productionization of LLMs and machine learnin

Deep understanding of statistics (A/B testing, regression, probability).

Support the productionalization and evolution of the Oracles — entities that leverage machine learning to drive Prima’s microservices behavior. Strong programming background with deep expertise in. Get access to learning resources, mentorship, and a growth plan tailored to you.

Experience with geometric deep learning or neural operators, architectures that operate on meshes, point clouds, or graphs. PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. Deep expertise in d

Machine Learning models, with a significant focus on reinforcement learning. Demonstrated expertise in deep learning, sequence modeling, and generative models. Lead the development of cutting-edge deep learning models and generative AI (LLM/VLM) solutions to enhance human-led triaging, introduce aut

Ship a consumer- facing solution within weeksExtensively collaborate with Product, Software Engineering, Lens Content and Data Science teams to prototype new ideas, integrate ML models and APIs into production, and refine them through A/B testing and user feedbackActively monitor the market and rese

Principal Machine Learning Engineer. As a Principal Machine Learning Engineer, you’ll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real‑time insights and personalised experiences for millions of fans. Lead the end‑to‑en

You’ve built and shipped CV‑focused deep learning systems and can demonstrate strong applied ML engineering (not research‑only). We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

Experience with machine‑learning frameworks (PyTorch, TensorFlow, JAX). Experience with reinforcement learning techniques and environments. As a Research Engineer within Reinforcement Learning, you will collaborate with researchers and engineers to advance the capabilities and safety of large lang

Cantina is a new social platform founded by Sean Parker with the most advanced AI character creator.Our bots are lifelike, social creatures that can interact wherever people are online—across voice, video, and text.Create yourself, imagine someone new, or choose from thousands of characters to sha

Deep expertise in LLM and deep learning training and deployment at scale. CrowdStrike seeks a Sr Applied Researcher to join our team building greenfield next-generation AI that stops breaches and is powered by large language models (LLMs), deep learning, and other modern AI techniques. Advanced know

Deep proficiency in PD model development and validation, with strong knowledge of calibration techniques.

IAG Loyalty, a leader in travel and loyalty experiences, is seeking a commercially minded Data Science Lead to join the Data Products Leadership Team in London.The role blends technical leadership with hands-on delivery across ML solutions that drive customer engagement, profitability and growth acr

Model ML, a fast-growing AI platform, seeks a data-driven professional to own the entire data stack—from ETLs and modeling to analytics and self-serve insights.You will build production-grade pipelines, models, and dashboards, working directly with founders and engineering to empower data-led deci

Lead complex initiatives to design, train, and deploy batch and real-time machine learning models into well governed production environments. Partner closely with Product Management and external Tech Partnerships to deeply understand core business challenges and design algorithms that directly solve

Be prepared to sacrifice your work-life balance in exchange for joining anincredible journey and learning a lot along the way.

United States Digital Space LLC in the United Kingdom is seeking a Lead Data Scientist to set technical direction and deliver high-impact, scalable AI solutions for public and private sector clients.You will mentor cross-functional teams, shape technical standards, and build long-term client relatio

On is seeking a Principal Data Scientist specializing in personalization and customer algorithms to set the strategic direction for customer modeling across the business.You will lead high-impact initiatives to architect, train, and deploy personalization models that drive measurable value for custo

CoMind is building non-invasive neuromonitoring tech to improve diagnosis and treatment of brain disorders.As Principal Data Scientist, you’ll set methodological direction for signal extraction and ML modelling, driving the most complex, high‑impact problems and guiding the team’s approach.You

A learning environment where you can dive deep into the latest technologies and make an impact. Deep expertise in experimentation, causal inference, forecasting, and statistical modeling in a product environment. A professional development budget to support other modes of learning.

Senior Data Scientist to lead advanced optimisation projects and shape robust ML architectures that improve payment flows.You will work with senior peers to design scalable models and production-grade Python tools, driving multi-objective optimisation across complex systems.The role emphasizes colla