176 to 200 of 1,120 Machine Learning Jobs in England

ROLE In this role as a Senior Data Scientist, you will: • Collaborate with product partners and stakeholders to identify opportunities to apply AI/ML to content, data, and products • Conduct research and identify AI/ML algorithms and methods to solve specific business problems • Implement rigorous testing and evaluation … Requirements: • Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience • 5+ years of experience developing AI/ML applications and data-driven solutions • Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. • Experience with LLMs, including ...

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 ...

Machine Learning Engineer - Defence 60,000 - £90,000 GBP Hybrid WORKING Location: Manchester;Bristol;London;Newcaslte , Manchester, North West - United Kingdom Type: Permanent Machine Learning Engineer Newcastle Manchester Bristol London Hybrid Permanent Our client is a specialist technology consultancy delivering high-impact engineering across defence ...

research experience) in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Strong research track record with publications at top‐tier ML/AI venues: ICML, ICLR, JMLR, NeuRIPS and the like. Deep expertise in at least two of the following: Reinforcement Learning, Bayesian Optimisation … agents, LLMs, VLMs. Proficiency in Python and experience with at least one major ML framework (PyTorch, TensorFlow, or JAX). Ability to work in a fast‐paced, research‐oriented environment with ambiguous and evolving goals. Passion for bridging fundamental AI research with impactful applications. #J-18808-Ljbffr ...

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 ...

list a few. Role overview As a 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 … 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 ...

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 ...

慨正橡扯 is seeking a Lead Machine Learning Scientist in Greater London to design cutting-edge machine learning solutions. You will lead a team, mentor junior colleagues, and collaborate with cross-functional groups to harness data for impactful business solutions. The ideal candidate has a strong background … Python and SQL, and experience with machine learning frameworks. Join us in building a dynamic future in banking driven by innovation. #J-18808-Ljbffr ...

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 ...

Principal Product Manager with ML and LLM knowledge? Consortia has partnered with a London-based FinTech seeking an experienced Principal Product Manager to join a cross-functional squad focusing on ML and LLM features that harness the power of data science and machine learning technologies. Job Title: Principal … stock options What you can expect in your new role: You have expertise in B2C products that harness the power of data science and machine learning technologies. You guide and keep the squad motivated and focused on the key priorities. Guide the strategy and decision-making alongside your ...

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 ...

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 ...

quality and real-world impact are prioritised. The Company They are a scaling, data-led business with a strong focus on leveraging AI and machine learning to enhance their products and services. With a modern technology stack and a clear roadmap for growth, they are building out their … processes Your Skills and Experience Strong commercial experience building and deploying AI and machine learning solutions Advanced proficiency in Python and modern ML libraries and frameworks Experience working with cloud platforms and scalable data systems Understanding of MLOps, model lifecycle, and deployment best practices Ability to collaborate effectively ...

research platform that was an early mover in the application of Large Language Models. We use a combination of proprietary and off-the-shelf machine learning models and NLP techniques to help our users answer patent related research questions such as "Is my invention patentable?". Increasingly … data pipelines, and much more. 8+ years of commercial engineering and data science experience Experience with technical leadership Extensive experience with Python programming Commercial Machine Learning experience Experience working in Natural Language Processing (NLP) Experience training machine learning models using Tensorflow and PyTorch Experience working with ...

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 ...

products. Working with complex, high-volume datasets, you will design and optimise the pipelines, models and data layers that power customer-facing solutions and machine learning applications. The Opportunity You will design, build and maintain scalable data pipelines that support a fast moving AI platform, working closely with … product, analytics and machine learning teams to ensure data is accurate, accessible and trusted. You will be working with large volumes of imperfect and inconsistent data, solving complex challenges and improving data quality as the platform scales. The environment is modern and cloud based, with exposure to technologies ...

Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources … quality analytics that directly inform and improve client marketing outcomes Building trust and credibility with clients as an analytical consultant Regular iteration on our machine learning methodologies, tools, and frameworks Consistent demonstration of technical excellence and commercial insight in all project deliverables Measurable contribution to the enhancement ...

forefront of AI-driven customer engagement. Their focus is on enabling highly personalised, real-time decisions across digital channels using advanced analytics and machine learning. The business combines deep domain expertise with strong delivery capability, supporting enterprise clients across multiple sectors. The Role and Deliverables You will take ownership … data science delivery, from problem definition through to deployment in live environments.* Design, build, and deploy machine learning models within Pega-based decisioning platforms.* Lead model development across feature engineering, training, validation, and ongoing performance monitoring.* Work closely with application and logic developers to embed models into operational ...

renowned multinational company in the UK is looking for a Machine Learning Engineer specializing in Video Quality Analysis. In this role, you will design and implement algorithms to detect defects in video quality using advanced computer vision and machine learning techniques. The position emphasizes optimizing solutions … efficiency and reliability in near real-time environments. Applicants should hold a Master's degree in Machine Learning or a related field and possess experience with programming languages like Java or C++. The company offers immigration support and a competitive salary package. #J-18808-Ljbffr ...

Doing Build strong relationships with stakeholders to identify opportunities where data science and AI can deliver value Design, develop and deploy advanced analytics, machine learning models, and data products Lead and contribute to high-impact data science projects across the organisation Translate complex analysis into clear, actionable insights … best practice in data science, governance, and ethical use of data Tech & Tools You'll typically work with: Python and advanced statistical tools Machine Learning and AI frameworks Cloud-based data platforms (e.g. Azure ecosystems) Data visualisation and reporting tools Data engineering and transformation pipelines What ...

production, regularly working on prototypes with a short turnaround into customer-facing production. You will work alongside world‐class researchers in computer vision, machine learning, graphics, and robotics to develop new approaches for large-scale spatial understanding, localization, reconstruction, scene understanding, and geospatial foundation models. What … Conduct original research in computer vision, machine learning, and spatial AI. Design, implement, and evaluate novel algorithms for: 3D reconstruction Neural scene representations 3D Gaussian Splatting Geometric deep learning Structure-from-Motion (SfM) Feed-forward models Spatial foundation models Collaborate with research scientists and engineers to transition ...