551 to 575 of 3,211 Machine Learning Jobs in the UK

APIs, and event‐driven architectures. DevOps and MLOps experience including CI/CD, IaC, automated testing, observability, and deployment automation. Familiarity with data engineering, ML models, Responsible AI, and enterprise governance. Ability to communicate complex AI concepts to both technical and executive audiences. Cloud, AI engineering, or architecture certifications ...

databases (Oracle) and data modelling expertise (canonical data models, JSON) Deep experience with enterprise messaging platforms (Kafka, IBM MQ) Proven experience implementing AI/ML solutions (using Python or other frameworks) to solve business problems Full‐stack development experience (RESTful APIs, front‐end frameworks such as Angular) Experience with Cloud ...

Typescript. 3 years of experience with front-end frameworks, full-stack development, or API development. 1 year of experience with software design, architecture, and machine learning. 1 year of experience with agentic coding. Preferred qualifications: Masters degree or PhD in Engineering, Computer Science, or a related technical field. Experience ...

Typescript. 3 years of experience with front-end frameworks, full-stack development, or API development. 1 year of experience with software design, architecture, and machine learning. 1 year of experience with agentic coding. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. ...

related field. Experience building large-scale enterprise or SaaS platforms. Familiarity with serverless architectures and cloud-native development. Exposure to AI/ML integrations or event streaming platforms is a plus. Contributions to open-source projects or active participation in the Node.js community are desirable. ...

adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the AI/ML & Data Platforms team, you are a core technical contributor and are responsible for creating critical technology solutions across multiple technical areas within various business functions ...

operational data according to sensitivity and security requirements. Designing and maintaining critical data delivery systems - encompassing both realtime data, historical data and AI/ML use-cases Collaboration with product owners and stakeholders to ensure data solutions align with business and regulatory requirements Capable of finding a balance between best ...

Typescript. 3 years of experience with front-end frameworks, full-stack development, or API development. 1 year of experience with software design, architecture, and machine learning. 1 year of experience with agentic coding. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. ...

/London (hybrid) or remote from EU/UK What will you do Accelerate researchers by taking on the heavy parts of large‐scale ML pipelines and building robust tools. Interface cutting‐edge research with production: integrate checkpoints, streamline evaluation, and expose APIs. Conduct experiments on the latest deep‐learning techniques (sparsified 70 B + runs, distributed training on thousands of GPUs). Design, implement and benchmark ML algorithms; write clear, efficient code in Python. Deliver prototypes that become production‐grade components for Le Chat and our enterprise API. About you Master’s or PhD in Computer Science ...

Role Overview As a Software Engineer III at JPMorganChase within the AI/ML Technology, you will be a hands-on engineer responsible for building and shipping production software with a strong focus on AI-enabled capabilities. You will work across the full software development lifecycle-from requirements clarification ...

business-facing solution design, with the ability to distil complex requirements into elegant cost-effective architectures. Programming experience and fluency with common AI/ML frameworks, services and deployment practices. Exceptional problem-solving skills and the ability to work on complex issues where analysis of situations or data requires ...

capabilities of your peers, this role is for you. What You’ll Do Technical Leadership & Custom Implementation: Act as the technical lead for specific ML projects within your pod. Design and implement custom model components or loss functions that don't exist \"off-the-shelf\", breaking down massive research goals … production feature distribution shifts). Lead team‐level post‐mortems and resolve blocking corrective actions. Career Multiplier: Formally mentor mid‐level and associate ML scientists, reviewing their experimental logic to ensure high scientific rigor while guiding them through applied ML and production constraints. Skills & Experience Education: Master’s or Ph.D. ...

progress) in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field. Core Technical Expertise: Demonstrated expertise in AI/ML topics, specifically Reinforcement Learning or LLM tuning/alignment (evidenced by peer-reviewed publications, open-source code, or technical portfolio projects; standard coursework alone … JMLR, etc.). Hands-on experience with RL fine-tuning frameworks (e.g., TRL, verl) and distributed multi-GPU training. Active GitHub portfolio demonstrating applied ML/AI implementations or system engineering. #J-18808-Ljbffr ...

complex asynchronous training workflows. We're looking for a systems‐level engineer who wants to work on the gnarly, foundational problems of a production ML platform. You'll support a system that handles a massive volume of inference requests and orchestrates unattended model training across a diverse landscape of model … about building the infrastructure that makes it all possible. Our core platform is written in Rust for performance, correctness, and fearless concurrency. ML models and services are primarily in Python. If you're intrigued by the challenges of the software/hardware interface, OS‐level optimization, and building robust, multi ...

Senior Machine Learning Engineer Department: Data & AI Employment Type: Permanent - Full Time Location: UK - London Description Insurance isn't the first industry most engineers think of when they imagine cutting-edge AI work. That's exactly why this role is interesting. CFC's Data & AI unit is building … driven architectures. Confidence leading system design discussions and making pragmatic architectural trade-offs. Strong cloud experience, ideally within Azure. Experience deploying, monitoring and maintaining ML or LLM models in production. Familiarity with MLOps, LLMOps, evals, monitoring and lifecycle management. Hands-on experience orchestrating LLM workflows using frameworks such as LangChain. ...

massive scale and across a wide variety of personalisation products that touch every aspect of the Apple Music experience. You will research AI/ML models for recommendation, bespoke and foundational, that push the state of the art. You will train and fine‐tune them on huge GPU grids … publish what you find. You will work alongside some of the best researchers and engineers in the field, connected to Apple's wider internal ML research community. We hire great people and trust them to do their best work. It's the people who make it exciting to work here ...

Machine Learning Consultant - Must have an Active DV Clearance - Hybrid Location: Bristol, London, Manchester or Cambridge Salary: £45,000 - £70,000 (DOE) Join one of the UK's leading Defence & Security practices, working on high impact programmes that support national security and help government organisations unlock value from … data, AI and machine learning. You will work alongside clients to solve complex challenges using cutting-edge AI, machine learning and data science techniques. You'll be involved throughout the project lifecycle, from understanding user needs and developing prototypes through to deploying scalable, enterprise-grade solutions. What ...

Machine Learning Consultant - Must have an Active DV Clearance - Hybrid Location: Bristol, London, Manchester or Cambridge Salary: £45,000 - £70,000 (DOE) Join one of the UK's leading Defence & Security practices, working on high impact programmes that support national security and help government organisations unlock value from … data, AI and machine learning. You will work alongside clients to solve complex challenges using cutting-edge AI, machine learning and data science techniques. You'll be involved throughout the project lifecycle, from understanding user needs and developing prototypes through to deploying scalable, enterprise-grade solutions. What ...

from scratch, channelling our start-up mentality every step of the way – meaning you’ll have the opportunity to make a real impact. Lead Machine Learning Scientist – International Consumer Bank Your responsibilities are to deliver end-to-end cutting-edge solutions in the form of cloud-native microservices … design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages. Responsibilities Lead the development and maintenance of machine learning models to solve complex business problems. Develop the technical skills of junior colleagues through mentorship and training. Collaborate with cross‐functional teams to identify ...

offices. Responsibilities Lead the implementation of data science projects and data science approaches to support commercial goals. Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working. Collaborate with tech, product and data teams to develop the data platforms that allow us to apply … broader customer analytics) “brand” at Kingfisher for both internal and external audiences. Qualifications Proven experience delivering high-quality AI‐based products and productionisation of Machine Learning based products. Proven experience developing cloud‐based machine learning services using one or more cloud providers (preferably GCP). Excellent ...

channelling our start-up mentality every step of the way - meaning you'll have the opportunity to make a real impact. As a Lead Machine Learning Scientist at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities … expected to be involved in the design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages. Our Machine Learning team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We're looking for people ...

machine learning solutions across an evolving enterprise data environment. This is a hands-on role working across the full ML lifecycle, from prototype through to production, focused on delivering scalable, value-driven outcomes. Experience requirements & Responsibilities : Develop and deploy machine learning models to solve business problems. … Translate prototypes into production-ready solutions. Build and maintain data pipelines and ML infrastructure. Prepare and analyse large datasets, extracting actionable insights. Evaluate, optimise and monitor model performance. Support the design and delivery of AI initiatives. Work within Agile teams and engage with stakeholders across the business. Essential : Strong Python ...

Commercial & Investment Bank, where you'll harness cutting-edge AI techniques to revolutionize business decisions and automate processes. As an Applied AI/ML Lead – Vice President - Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront … leading role in the design and delivery of the production architectures for our solutions Required qualifications, capabilities, and skills Hands on experience in an ML engineering role Masters degree or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Track record of developing, deploying business critical machine learning ...

/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, large language models, and recommendation … LLMs or recommendation systems Produce outputs that lead to high-impact business applications, open‐source software, patents, and publications in top AI/ML conferences and journals. Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production Develop ...

intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity … apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly ...