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AI Architect Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data?About the team -LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world’s most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows.Protégé in PatentSight is LNIP’s next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics.About the role: As an AI Architect you will be the technical authority for the AI systems that power Protégé within PatentSight+. You will work across the full stack, from agentic layer down, ensuring every layer is coherent, scalable, secure, and aligned with RELX Responsible AI standards.This is a senior individual-contributor role with broad influence. You will partner closely with Engineering Leads, Product Managers, Data Scientists, and data teams within LNIP.Key Responsibilities:Define and own the AI architecture vision for Protégé in PatentSight+, ensuring technical decisions are coherent, future-proof, and aligned with product strategy.Evaluate and recommend AI technologies, modelling approaches, and platform components.Stay up to date with advances in agentic AI and domain-specific AI research. Translate emerging capabilities into practical architectural recommendations.Author and maintain Architecture Decision Records (ADRs) and system design documentation, providing a clear and durable record of technical choices and their rationale.Architect the agentic reasoning systems that enable Protégé to decompose complex patent questions, plan multi-step analyses, and compose insights from multiple data sources.Design retrieval and search architectures that deliver accurate, low-latency patent intelligence across both structured analytics and unstructured text corpora.Define patterns for AI-driven enrichment and classification of patent data at scale, ensuring results are dependable, auditable, and consistent with established IP metrics.Establish prompt engineering standards, evaluation harnesses, and quality frameworks to govern LLM behaviour and maintain output accuracy in production.Partner with Product Management to assess technical feasibility and shape the AI roadmap, translating product goals into deliverable system designs.Collaborate with Security and Platform teams to ensure AI systems meet enterprise requirements for access control, data privacy, and regulatory compliance.Ensure all AI systems comply with RELX Responsible AI Principles.Lead AI risk assessment activities, contributing to compliance with applicable regulatory frameworks.Communicate complex architectural decisions clearly to senior leadership, engineering teams, and non-technical stakeholders.Requirements: Essential - Strong professional software engineering expertise, with experience in a dedicated AI/ML architecture, principal engineer, or distinguished engineer role.Proven track record delivering production LLM-based systems, including RAG pipelines, agentic/tool-use frameworks, and multi-step reasoning workflows.Strong proficiency in Python for AI service development; working knowledge of C# or equivalent compiled language for enterprise microservice integration.Hands-on experience with vector databases and semantic search pipeline design.Experience with Model Context Protocol (MCP).Experience with large-scale data platforms such as Databricks, and search engines such as Elasticsearch, in an analytical or AI feature engineering context.Demonstrated ability to design enterprise-grade AI systems with strong non-functional requirements: security, privacy, reliability, cost governance, and observability.Experience communicating complex architectural decisions through written documents, diagrams, and presentations to diverse audiences.Desirable- Background in the intellectual property, legal technology, or scientific information domain; familiarity with patent data structures and classification systems.Knowledge of Responsible AI Principles.Advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related field.Experience designing event-driven, cloud-native architectures using Kafka (or equivalent streaming platforms), including topic design, schema governance, and consumer patterns.Why Join Us?Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.Work in a way that works for youWe promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.Working for youWe know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:Generous holiday allowance with the option to buy additional days.Health screening, eye care vouchers, and private medical benefitsWellbeing programsLife assuranceAccess to a competitive contributory pension schemeSave As You Earn share option scheme.Travel Season ticket loan.Electric Vehicle SchemeOptional Dental InsuranceMaternity, paternity, and shared parental leaveEmployee Assistance ProgrammeAccess to emergency care for both the elderly and childrenRECARES days, giving you time to support the charities and causes that matter to you.Access to employee resource groups with dedicated time to volunteer.Access to extensive learning and development resourcesAccess to employee discounts scheme via Perks at WorkAbout the business-At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.USA Job Seekers:EEO Know Your Rights.SummaryLocation: United Kingdom; FarringdonType: Full time

Are you passionate about shaping innovative product strategies that deliver measurable business impact?Do you thrive in leading cross-functional teams and influencing senior stakeholders to drive product success?About our TeamAt LexisNexis Intellectual Property Solutions, our mission is to bring clarity to innovation by delivering better outcomes to the innovation community. Each and every day, the work our team does supports the development of new technologies and processes that ultimately advance humanity. Helping our customers reach their goals is our primary focus. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations and ultimately achieve superior results. Our overall success is measured by how well we deliver these results. We are proud to directly support and serve these innovators in their endeavors to better humankind. About the RoleYou will own one or more critical products or features within a complex environment, leading strategy, execution, and commercial outcomes. This role brings together customer insight, data-driven decision-making, and cross-functional leadership to deliver impactful solutions. You will also support the growth of product talent while influencing senior stakeholders and shaping product direction.ResponsibilitiesDevelop deep understanding of customer needs, use cases, and industry trendsUse analytics, data, and market insights to shape and validate product strategyLead hypothesis-driven testing approaches, including experimentation and A/B testingOwn product roadmap, strategy, and end-to-end delivery of complex featuresDefine product positioning, messaging, and success metricsLead go-to-market strategy, launch planning, and cross-functional executionIdentify new product opportunities and contribute to business case developmentMentor product managers and guide cross-functional teams to deliver outcomes.RequirementsStrong experience in product management within complex environments1–2 years working on machine learning or AI initiativesAnalytical mindset with the ability to use data to inform decisionsDeep understanding of customer needs, markets, and competitive landscapesProven ability to lead and influence cross-functional teamsStrong commercial awareness and strategic thinking capabilityIndividual contributor who is a 'self starter' and has the curiosity to continue learningAbility to break down complex problems into actionable solutionsExperience driving product strategy, delivery, and measurable outcomesPreferred domain experience includes patent analytics, legal tech, enterprise intelligence, or similar analytical domains, plus familiarity with taxonomy, metadata, ontology, or structured domain model challenges would also be preffered.Work in a Way that Works for YouWe promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.Working PatternWorking flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.About the BusinessLexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.USA Job Seekers:EEO Know Your Rights.SummaryLocation: FarringdonType: Full time

About The Role What youll be doing: Youll be responsible for the day to day management of the store. You will be working up to 45 hours per week - all extra time worked is paid or can be taken as time off in lieu``` Youll be leading from the front, managing a small team of between 4 - 6 members of staff Youll be committed to motivating your team to deliver a great customer experience as well as achieving challenging sales targets Youll be committed to offering honest advice and building a rapport with customers, exceeding their expectations and reassuring them when theyre bewildered by choice What youll need - skills and experience: Proven experience of leading a small team Managerial experience within a retail or field sales position, ideally in a hard goods environment Proven experience in achieving sales targets and KPIs Proven experience in motivating your team Youll have practical experience / knowledge of some or all of our product range Youll be a confident, enthusiastic and driven team player Youll be committed to learning and developing yourself and your team Your personal skills will include accuracy and numeracy as well as basic computer literacy Youll possess the desire to succeed both individually and as leader of the team Benefits What youll get in return for your commitment: Staff Discounts Guaranteed monthly commission payment amount for your first 6 months Healthcare Cash plans A company pension scheme Life Cover Access to the Retail Trust, our well-being platform - offering a 24-hour helpline for a variety of support services Discounts on 100s of high street & online brands including restaurants, holidays, and shopping Role specific training and development Proactive promotion of internal candidates Paid Breaks Free Tea & Coffee About The Company Where youll be working: Machine Mart are the UKs leading specialist retailer of workshop power tools and equipment to the general public and trade customers.With stores nationwide and over 40 years in business we are at the forefront of our sector and are supporting our recent success with continued growth. For further information on our company and our product range, visit our website:www.machinemart.co.uk

Are you passionate about transforming legal content creation through AI and innovation?Do you enjoy collaborating across global teams to deliver scalable solutions that drive measurable impact?About our TeamLexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (http://www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).About the RoleWe are looking for an innovative AI Content Optimization Lead to drive AI ideation and workflow integration across Practical Guidance content within Global Editorial Operations. In this role, you will identify opportunities to enhance content creation through AI technologies, partnering with global stakeholders to deliver scalable solutions that improve quality, efficiency, and impact.ResponsibilitiesIdentify and evaluate opportunities to apply AI and automation to streamline and enhance existing editorial workflows, driving efficiency, scalability, and quality across global content operationsSupport the development and execution of strategies for AI-assisted Practical Guidance workflows, ensuring alignment with business goals and market demandsCollaborate with cross-functional teams, including commercial, product management, engineering, business analysts, subject matter experts, and project management to prioritize opportunities and execute on AI content optimization from ideation to deployment on a global scaleOversee the integration of AI solutions for global deployment across North America, UK, and Asia-Pacific, ensuring seamless integration into workflows, tools, and platformsCommunicate progress and outcomes to internal teams, senior leadership, and key stakeholders, using data to provide clear insights and support decision-makingStay informed of industry trends, emerging technologies, competitive intelligence, and best practices in AI and content generation, with a focus on global applicationsRequirementsExperience in content/publishing, project management, or product developmentExtensive experience in legal content preferredExperience utilizing AI/automation in content optimizationProven track record of leading or contributing to cross-functional teams and delivering complex projects on time and within budget, preferably in a global contextFamiliarity with AI technologies, such as large language models (LLMs), natural language processing (NLP) techniques, and machine learning applications; experience utilizing AI/automation in content optimization preferredHighly proficient in data analysis and performance metrics, with the ability to report insights and progress to stakeholdersExceptional communication skills, with the ability to collaborate effectively across departments and global teamsStrategic thinker with a passion for innovation and a results-driven mindsetLegal degree (JD) preferredWork in a Way That Works for YouWe promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.Working PatternWorking flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.About the BusinessLexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.USA Job Seekers:EEO Know Your Rights.SummaryLocation: FarringdonType: Full time

Peaple Talent is partnering with a cutting-edge AI company that is redefining how organisations make critical decisions in complex and high-risk environments.This is a rare opportunity to join a fast-growing AI business at an exciting stage of its journey.The company combines deep machine learning e

Building AI models for document understanding, knowledge graphs, and data extraction.Develop generative AI systems for research.

Machine Learning Engineer sought for a 6-month contract to build and deploy ML models in a Financial Services environment.

Develop, deploy, and maintain machine learning models for a remote gaming and entertainment business. Collaborate with data scientists and engineers to optimize ML systems.

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. How it works - your journey to AI success Step 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers. Step 4: Real-World Projects Showcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one. Your guaranteed future After completing your training, you'll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home. We guarantee a job offer upon completion or 100% of your course fees refunded. We’re proud to have helped over 1,000 people each year transform their careers. Explore our success stories on our website and see what your future could look like. At a one off cost of £990, or a deposit of £149 followed by 10 interest free monthly instalments of £124, this represents a great opportunity to start a rewarding career in Ai and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Ready to future-proof your career? If you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps. ‘Please note that this is a training course and fees apply

Data Scientist Placement Programme - No Experience Required Our training will help you kick-start a new career as a Data Scientist. We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step will fully prepare you for the professional projects that you will undertake in step 4 of this process. At the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. At a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch. ‘Please note that this is a training course and fees apply

ML algorithm development in the RF domain for electronic warfare.South East England, hybrid working; to £58,000 + Benefits.This renowned research institute is developing world-class capabilities in the understanding, management and exploitation of the electromagnetic environment through the applica

Build Python APIs using FastAPI or Flask to serve machine learning models. Most machine learning roles talk about building models.

As ML Engineer at Maze, you'll be the technical leader driving our machine learning infrastructure from experimentation to production, ensuring our AI-powered cybersecurity solutions deliver measurable impact for customers worldwide. Drive the actual productionization of LLMs and machine learning to

Define and lead the technical strategy for AI and Machine Learning systems that power recommendations, ranking, and personalization across Bumble products, delivering measurable improvements in user engagement and safety. Champion responsible AI practices, ensuring fairness, transparency, and user s

Strong practical and theoretical foundation in machine learning techniques, feature engineering, and deep learning paradigms. Senior Machine Learning Scientist (Experiences). Senior Machine Learning Scientist.

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

As a Staff Machine Learning Engineer, you'll provide technical leadership for the ML infrastructure that underpins these capabilities, working across teams to define the architecture, roadmap and engineering direction for the next generation of our platform.

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

Join us as a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI projects.

Principal Machine Learning Scientist. Principal Machine Learning Scientist (Experiences). Master’s degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field.

We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. The opportunityWe are seeking an exceptional Machine Learning Scientist who combines strong ML fundamentals with a deep understanding of biological dat

Machine learning for search, ranking, recommendations or personalisation. Principal Machine Learning Scientist. Principal Machine Learning Scientist.

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

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

Clustering, Industry, Machine Learning, NLP, Parsing, United Kingdom. At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Conduct experiments on the latest deep‑learning techniques (sparsified 70 B + runs, distributed training on th

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 seeki

Machine Learning models, with a significant focus on reinforcement learning. The DUE ML Core London team builds and operates scalable machine learning systems, simulation workflows, and insight tools designed to improve the evaluation and developer onboarding journeys. By combining expert human judg

Our client, one of the most established names in their sector, are on the lookout for a Director of Data Science to lead the Data Science, Machine Learning & Advanced Analytics capability.

London, 4 days in office (Shoreditch).Up to £220,000 + Bonus + Compelling Equity.This role is with one of Dex’s trusted partner companies.We work closely with their teams to truly understand their culture, goals, and what they’re looking for, so we can match you with the right opportunity and g

Support the productionalization and evolution of the Oracles — entities that leverage machine learning to drive Prima’s microservices behavior. Senior Machine Learning Engineer. 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. Personal development - dedicated support for learning, development, and leveling up over time.

You will lead the machine learning strategy and execution that powers how millions of users search for, discover, and organize their complex travel itineraries. Principal Machine Learning Scientist. Master's degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field.

As Machine Learning becomes increasingly important within our Systematic Equities business, we are investing in frontier research that can shape the next generation of models, infrastructure and research capabilities. You will also represent IMC externally through participation in leading conference

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.

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. Master’s

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

Our Data and Machine Learning team is growing! We’re looking for a Head of Data Engineering and Machine Learning to join our team in London.

Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second.We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins,

White Collar Factory (95009), United Kingdom, London, LondonStaff Software Engineer - Machine Learning. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead and coordinate ML e

Designing and scaling RoleMapper’s AI and Machine Learning models, combining leadership with hands‑on execution.

Machine Learning Solutions Engineer.

You have contributed substantially to major machine learning efforts such as open‑source libraries, significant product deployments, or impactful scientific publications. Develop machine learning systems with real‑world impact (~90%):. Stay informed about the latest advances in machine learning.

An established consultancy is seeking a Machine Learning Engineer (Contract) to support a global education organisation on an ongoing AI workspace project. Strong proficiency in Python with experience in machine learning deployment and MLOps tooling.

This is a great job for someone who is energized by defining and executing Machine Learning (ML) strategy at scale, shaping how Aviva connects with millions of customers. They will be passionate about fostering innovation, experimentation, and continuous learning, inspiring their team and stakeholde

To hear more about the Data & Machine Learning Architect role contact Daire McIlhatton at. Data & Machine Learning Architect – Newcastle – Up to £80,000 – S/C Clearable. We’re hiring an experienced Data & Machine Learning Architect to lead the design of modern, scalable data and AI platform

Our client is seeking aMachine Learning Engineer to support the development, deployment, and operational management of machine learning models within a growing data and analytics function. Machine Learning Engineer - Global Insurance Firm. Strong Python development experience, ideally within a machi

Constructive Bio is a VC-backed biotechnology startup based in Whittlesford, Cambridge.Our unique technology turns living cells into biofactories, creating sustainable new materials and therapeutics.With full control of the genetic sequence and code, we are exploring chemical space previously unreac

This Edtech Start-up in London is building something transformative in education using cutting-edge machine learning.