176 to 200 of 1,209 Machine Learning Jobs in the UK

JPMorgan Chase & Co. is seeking a Senior Machine Learning Data Scientist – Payments (VP) to lead the delivery of advanced machine learning applications. This role focuses on architecting and deploying scalable ML solutions for Payments and Banking Operations. Candidates should possess strong expertise in machine learning and AI, with proven experience in deploying models ...

looking for a Machine Learning Ops Engineer to help operationalise machine … learning across Affinity Water on a 24 month FTC. Youll work with data scientists, engineers, architects, and stakeholders to deploy, monitor, and maintain ML models in robust, scalable, and secure production environments, turning advanced analytics into sustained business value. What Youll Do Build, maintain, and optimi... WKCL1_UKTJ ...

capability) who have real, hands-on experience building GenAI applications end-to-end. Not just prototypes, but production systems. This is a full-stack ML Engineering role where youll design, build, deploy, and monitor GenAI applications that integrate LLMs as part of a wider system. Youll be working on: Building … stack: data, model, application, and infrastructure Strong communication skills and ability to work with product, engineering, and business teams This is ideal for ML Engineers who love building end-to-end systems, not just models. People who can take a GenAI idea from concept to production and own the full ...

, Applied Mathematics, Statistics, Financial Engineering, or a related quantitative field/li , li Significant professional experience (typically 7–12+ years) in AI/ML product development/management, model validation, quantitative research, risk modelling, or related areas/li , li Demonstrated success working with technical teams or senior specialists … high stakes modelling environments/li , li Deep understanding of AI/ML systems including LLMs, agentic architectures, RAG pipelines, credit or pricing models, or risk modelling techniques/li , li Hands-on experience developing or validating models, performing statistical testing, and analysing model assumptions, limitations, and risks/ ...

Integrating scalable production-grade AI/ML systems into engineering applications Guildford; to £80,000 plus benefits This engineering software company are integrating AI and machine learning features into their application suite, and seeking a skilled traditional software engineer with experience working on similar projects. You will have … interest include Python, C++ and C#. Software may be desktop or web + cloud. Mobile app development is not a primary focus. AI and ML techniques are likely working with numerical data or imaging rather than natural language/LLM. The role offers a highly competitive salary and benefits ...

business outcomes. How You’ll Make an Impact: Develop and refine AI prototypes and interfaces, with mentorship from senior team members Explore and apply machine learning algorithms and data analytics in real-world scenarios Code, test, and debug AI prototypes to ensure robust and efficient performance Engage with … business workflows Exceptional communication skills with both technical and non-technical audiences A proactive approach to learning and professional development within AI/ML Ability to work effectively both independently and in a collaborative team environment Why Choose Fitch: Hybrid Work Environment: Hybrid work model: 3 days per week ...

development of robust reporting capabilities that support stronger commercial decision making and elevate campaign management for client facing teams. As an AI/ML Engineer, you will be responsible for researching, designing, building, and automating predictive models, as well as establishing metrics to monitor model performance and accuracy. You bring … analysts, and other big data specialists across the organisation. Key Tasks & responsibilities · Write clean, elegant and maintainable code with Data engineering and AI/ML best practices· Understanding business objectives and developing models that help to achieve them, along with the creation and monitoring of business relevant metrics· Find ...

Senior Machine Learning Engineer you will: Design and implement data ingestion, model training, validation, deployment and monitoring pipelines across the organization Optimize ML infrastructure and systems for maintainability, scalability, robustness, efficiency, and operating costs Collaborate with product stakeholders, data scientists and engineering teams to design and implement …/ML solutions for complex business problems and use cases Define reference architectures suitable to answer complex questions, including via code interpreting, LLM tool use and leveraging secondary data science models Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams ...

Senior Machine Learning Engineer you will: Design and implement data ingestion, model training, validation, deployment and monitoring pipelines across the organization Optimize ML infrastructure and systems for maintainability, scalability, robustness, efficiency, and operating costs Collaborate with product stakeholders, data scientists and engineering teams to design and implement …/ML solutions for complex business problems and use cases Define reference architectures suitable to answer complex questions, including via code interpreting, LLM tool use and leveraging secondary data science models Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams ...

learning delivery . This is a hands-on senior platform role , focused on building robust, Kubernetes-based platforms that enable MLOps engineers, ML engineers, and data scientists to deploy, run, and manage models safely and effectively in production. While you'll need a strong understanding of how machine … that work reliably and at scale. What you'll be doing You'll be responsible for building a production-grade AI/ML platform , not just running clusters. You will: Design, build, and operate a Kubernetes-based platform that supports multiple ML and engineering teams Extend Kubernetes with MLOps-specific ...

few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with the pricing … such as area or vehicle classification, as well as predictive models for other business use cases such as conversion, retention or price optimisation Prototype ML solutions before handing to the ML team for implementation Conduct more advanced yet focused research and development to solve business challenges Work collaboratively with other ...

evolving goals. Passion for bridging fundamental AI research with impactful applications. Desired Demonstrated research track record with first‐author publications at top‐tier ML/AI conferences (NeurIPS, ICML, ICLR, etc.) Hands‐on experience with RL fine‐tuning frameworks (e.g., TRL, verl) and distributed multi‐GPU training. Active GitHub portfolio … showcasing relevant ML/AI projects. Strong interest in AI for science, world models, or reasoning systems for large language models. #J-18808-Ljbffr ...

drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders … drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. 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 ...

measurement, embeddings, reranking, and retrieval orchestration. Experience with evaluation datasets, benchmarking, annotation workflows, and advanced programming skills in Python. Familiarity with modern AI/ML frameworks and tooling (PyTorch, Hugging Face, LangChain, LangGraph, Haystack). Experience working with large‐scale datasets, distributed data/ML platforms, and production AI systems. … assistants. Familiarity with scientific, biomedical, or scholarly datasets and workflows. Experience with knowledge graphs, ontologies, or semantic enrichment systems. Experience with production ML systems, MLOps, and AI governance practices. Publications or applied research contributions in NLP, IR, search, recommendation systems, or generative AI. Experience building AI systems in high‐trust ...

SaaS. Must-haves: Senior engineering leadership experience (Head of Engineering, Engineering Manager level) Proven track record building data platforms for analytics and AI/ML Deep Microsoft Azure expertise Hands‐on experience with Databricks, APIs, and integration platforms Strong understanding of MLOps and productionizing machine learning Experience leading … technical vision and delivery of our core platforms: Build world‐class platforms Architect cloud‐native data and AI systems that support analytics, ML workloads, and real‐time operations Create API‐first integration layers for internal teams and external partners Implement MLOps best practices for model deployment and lifecycle management Lead ...

function. Rosso is tem's core IP: the AI‐powered engine at the heart of how we price, forecast, and optimise energy transactions. The ML engineers who build it work across time‐series forecasting, pricing, optimisation, and classical ML simultaneously. The work is technically complex and commercially critical. This role … strategy, delivery, budget, and outcomes. That's this role. You're not a coach on the sideline – you're the person accountable for the ML function performing and for Rosso hitting its numbers. You’ll report into the GM of Rosso, set strategic direction for ML in partnership with them ...

Cleared Machine Learning Engineer - Contract Rate: Up to £620 per day (Inside IR35) Location: London or Manchester (1-2 days per week on-site) Contract: 6 months Clearance: Active SC required We're hiring an experienced SC-cleared Machine Learning Engineer to support the delivery ...

Principal Data Scientist & Machine Learning Researcher Gloucester London Manchester Working with a leading National Security and Cyber organisation, you will help develop advanced AI and machine learning solutions that support critical national security missions. Operating within a mature Agile environment, you'll collaborate closely with customers ...

growing, well-supported data team that is investing heavily in modernisation and advanced analytics. You will be part of a collaborative engineering environment where learning, progression, and exposure to cutting-edge technologies are central to the role. The Company They are a well-established UK-based organisation with … Supporting CI/CD processes and applying DevOps best practices Contributing to code deployment, testing, and release processes Collaborating with engineers, QA specialists, and machine learning teams Working across multiple squads to deliver high-quality data solutions Supporting the ongoing development of the Databricks platform Gaining exposure ...

engagements across the aviation sector Lead technical discovery sessions with airline customers to assess AI maturity, operational challenges and transformation opportunities Design AI and machine learning solutions across areas such as automation, predictive analytics, NLP and generative AI Build proof of concepts, prototypes and scalable AI solution architectures … tooling and emerging technologies Contribute to thought leadership initiatives and help position the business as an AI‐first consultancy Requirements Strong experience delivering AI, machine learning or advanced analytics projects within consultancy or enterprise environments Deep hands‐on AI expertise across machine learning, generative ...

learning models in financial services (ideally Anti-Financial Crime/Screening) Experience building Natural Language Processing (NLP)/Machine Learning (ML)/Artificial Intelligence (AI) pipelines, including feature engineering, model training, evaluation and monitoring Experience designing evaluation frameworks for LLM use cases (e.g., human ...

will lead Devtech’s AI vertical and shape the company’s vision, strategy, and execution in artificial intelligence, data science, and machine learning services. Your role will combine AI consulting leadership, business growth, and strategic innovation. You will drive how Devtech helps clients adopt, scale, and innovate with … space. Proven experience in designing, implementing, and scaling AI‐driven solutions within technology consulting or digital services organizations. Strong understanding of AI/ML frameworks, cloud AI platforms (Azure, AWS, GCP), data pipelines, and MLOps practices. Demonstrated ability to advise C‐level clients on AI strategy, organizational readiness ...

apply to be considered. Full-Time The Role: We seek an experienced expert to contribute significantly to an R&D team, bridging machine learning engineering with applied data science. You will improve and manage Machine Learning Operations on Azure and participate in creating, assessing, and advancing … various machine learning models xkybehq and AI systems. You will collaborat Please click on the apply button to read the full job description ...

contributions will genuinely make a difference. The Role As a Graduate AI Engineer, you’ll support the development and deployment of AI and machine learning solutions across a range of innovative projects. The successful candidate will be passionate about emerging technologies, eager to learn, and excited … Docker, APIs, or Git workflowsFamiliarity with frameworks such as PyTorch, TensorFlow, or Scikit-learn Internship, university project, or personal portfolio related to AI/ML What’s on Offer Competitive graduate salary package Company stock options/equity scheme Hybrid and flexible working environment Direct mentorship from experienced AI engineers ...

contributions will genuinely make a difference. The Role As a Graduate AI Engineer, you’ll support the development and deployment of AI and machine learning solutions across a range of innovative projects. The successful candidate will be passionate about emerging technologies, eager to learn, and excited … Docker, APIs, or Git workflowsFamiliarity with frameworks such as PyTorch, TensorFlow, or Scikit-learn Internship, university project, or personal portfolio related to AI/ML What’s on Offer Competitive graduate salary package Company stock options/equity scheme Hybrid and flexible working environment Direct mentorship from experienced AI engineers ...