1,151 to 1,175 of 2,828 Machine Learning Jobs in England

leading electric vehicle manufacturer in Greater London seeks a Staff Software Engineer specializing in machine learning infrastructure. The ideal candidate will optimize deep learning performance on NVIDIA GPU systems and manage large-scale model training. Applicants should possess a PhD in Computer Science or equivalent experience … have substantial knowledge in PyTorch and deep learning frameworks. This role contributes directly to safety-critical self-driving technologies for innovative vehicles. #J-18808-Ljbffr ...

discipline frontend, backend, mobile, and quality. You will report to the VP of Engineering. You bring deep technical knowledge and a strong appetite for learning especially around agentic AI and how it is reshaping the way software is built. Your hands‐on coding focuses on the engineering organisation itself … both. Practical experience integrating, evaluating, or productionising machine learning systems not necessarily as a researcher, but as someone who has shipped ML‐powered features. Active, current hands‐on experience with agentic development tools: Claude Code, Cursor, Codex, or equivalent used as a daily part of your own engineering ...

Waymo is seeking a Senior Machine Learning Infrastructure Engineer to lead the development of scalable AI/ML infrastructure for multi-billion parameter foundation models. You will own distributed systems spanning data generation, model training, and deployment, collaborating with London-based Realism Modeling teams to enhance simulation fidelity. … role requires 5+ years in software engineering with at least 3 years in ML infrastructure, plus strong expertise in distributed training and #J-18808-Ljbffr ...

title: AI/ML Engineer Location: Romsey, Hampshire/Hybrid (2 days per week on site) Salary: £65,000 plus 6% bonus Candidates must be willing and eligible to go through SC security clearance. Build AI that solves problems others can't within Defence, National Security & Intelligence …/ML Engineer, Research Engineer or Applied Scientist who wants to work on genuinely complex, technically challenging problems? This is an opportunity to join a leading technology and engineering business working across National Security, Defence, Intelligence and Commercial markets, where you'll be doing far more than simply implementing existing ...

Hypervision Surgical is hiring a Senior Machine … Learning Engineer to push from research prototypes to production-scale algorithms for real-time intraoperative tissue intelligence. You will architect, train, and deploy ML models for hyperspectral imaging, build robust data pipelines, and maintain compliant ML systems in a regulated medical setting. You will collaborate with scientists, engineers ...

depth knowledge of their discipline and area best practices to effectively resolve problems and roadblocks as they occur. Designs, develops, and reviews scalable machine learning models and statistical solutions to address complex business challenges, ensuring alignment with organizational standards. Refines … optimizes models through advanced feature engineering, hyperparameter tuning, and validation to ensure high performance and robustness. Collaborates with cross-functional teams, including AI/ML Engineering, to support model deployment, scaling, and operationalization. Provides technical guidance and mentorship to junior team members, reviewing their work for quality and best practices. ...

seeking a Lead Machine Learning Scientist for its Business Banking team, with Cardiff, London or Remote (UK) options. You will spearhead ML/GenAI capabilities, shaping product experiences for SMEs and integrating advanced models across the platform. You will collaborate with Product, Data Science, Engineering and Design … deliver impactful, measurable improvements while maintaining responsible ML practices. Flexible UK-based remote working is available. #J-18808-Ljbffr ...

software stack for engineering and manufacturing. We are seeking a Senior Machine Learning Engineer in Delivery who can lead end-to-end ML deployments, collaborate with data scientists and customers, and drive architecture for scalable data/ML systems. You’ll travel internationally and work in a hybrid ...

smooth cross-functional collaboration.Build an Inclusive Culture: Advocate for team health, inclusion, and diversity, while fostering a respectful and empowering environment that encourages continuous learning and improvement.QualificationsYou’ll be an excellent fit if you have:A proven track record as an Engineering Manager of growing and building high-performing … engineers, teams, and processes.Experience as an individual contributor or leader in the Search DomainWorked closely with Machine Learning and Data Science colleaguesWorked closely in tandem with Design and Product, as either a Product Engineer in the past, or Engineering Manager, to build rich user experiences.You can work across ...

guide teams through adopting new practices and ways of working.## ## **What Makes You Unique:*** **AI Subject Matter Expertise:** Direct experience implementing generative AI, machine learning, or automated workflow tools within a CPG marketing function or digital agency.* **CPG & Premium Brand Stewardship:** Marketing experience within a large multinational … consumer packaged goods (CPG), spirits, or premium lifestyle brand environment.* **Curiosity & Innovation:** Champions a culture of curiosity, rapid experimentation, continuous learning, and responsible experimentation #LI #J-18808-Ljbffr ...

Learning Engineers for hybrid, fixed-term roles through end of 2027, with potential permanence. You will design, deploy and operate privacy-focused ML systems within a multidisciplinary team, contributing to the CODAS project and related initiatives at AND-E Lab. Ideal candidates have 5+ years in ML/ ...

across the firm. Take the next step in your career. Responsibilities We are looking for exceptional engineers to help us build out a mature ML research and deploy pipeline as part of our ML Workflows team. This is an exciting role. You will develop green‐field solutions to meet highly … complex ML interdependency requirements. Where off‐the‐shelf tools fall‐short, you’ll build custom solutions to define best practice across quantitative research. Future Projects Implementing best practice feature and model stores Properly versioning features, data and models Improving inference compute utilisation via model serving CI/CD for ML ...

working in a shared-delivery model where tasks are distributed across the wider Data Science team. How You'll Make an Impact Advance our ML-Driven Forecasting: Own, maintain, and continuously enhance our ML-driven revenue growth models. You will be responsible for pushing these models to the next level … data. Champion Best Practices: Lead by example within your team and the broader data community by applying best practices in analytics and machine learning, from data collection to deployment and analysis. What We're Looking For Strong proficiency in SQL and Python with experience building and maintaining predictive ...

quality, and resilience patterns are consistently applied across services. People Leadership Lead and mentor a team of SRE engineers, fostering a culture of ownership, learning, and engineering excellence. Drive career development, performance management, and technical capability growth across the team. Collaborate with HR and Talent teams to build local … managing cloud‐native services on Azure and AWS, including: Azure SQL, Cosmos DB, Application Gateway, Key Vault, Storage, DNS, Load Balancer, Virtual Machines, Azure Machine Learning, Sentinel AWS Lambda, ECS, RDS, CloudWatch Strong understanding of SRE principles (SLOs, SLIs, error budgets, incident response). Hands‐on experience with ...

improvement. Support vendor evaluation and strategic technology partnerships where appropriate. What You Bring Significant experience in Product Management, Product Strategy, Data Products, AI/ML solutions, or related technology disciplines. Experience within financial services, fintech, transaction banking, trade finance, corporate banking, banking channels, payments, or enterprise software environments. Strong understanding … Strong analytical, problem-solving, communication, and stakeholder management skills, with the ability to turn complex requirements into clear product priorities. Exposure to AI/ML technologies, generative AI, workflow automation, analytics platforms, or data-driven product development would be highly beneficial. Knowledge of Trade Finance, Trade Processing, Corporate Banking, Payments ...

consumer lending, and regulatory considerations Proficiency in SQL and at least one modelling/programming language (Python, R) Experience with A/B testing, machine learning, collections modelling and churn management Ability to translate complex analyses into clear recommendations for business stakeholders High ownership mindset and comfort working … work on innovative and impactful projects A dynamic, diverse, and collaborative environment where every team member’s voice is recognised and valued Continuous learning and career growth opportunities Competitive salary, individual performance bonuses, and firmwide performance bonus The company covered health insurance plans Pension plans What to expect ...

Core Banking, Business Banking, Wealth, Borrowing, Growth, Payments, Platform, Fincrime, Security & Expansion. All of our collectives are doing innovative work, many of which have machine learning and AI at the forefront—from fighting financial crime to building smarter financial tools—and you may have the opportunity to join … your skills, experience, preferences and aligning with the business need! Our backend engineers have a variety of different backgrounds. As long as you enjoy learning new things, we’d love to talk to you. We do not ask for formal qualifications or degree requirements for any of our engineering ...

Creandum is looking for a Staff Machine Learning Engineer to build and scale ML systems for content understanding across audio, video, text, and images. In this pivotal role, you will develop models to enhance content quality and safety, ensuring high-quality experiences for users. This position offers flexibility ...

ability to read electrical schematics. Demonstrable knowledge and experience of current software engineering practices for Remote and Autonomous Systems. Experience with ROS/ROS2, machine learning and OpenCV is advantageous. Experience of robotics, machine control systems and automation is desirable. Knowledge of CODESYS or similar PLC software … multi-disciplined engineering team. Ability to investigate and interpret data, issues, and situations to make sound decisions in high-stress situations. Appetite for learning new technologies and applications. Ability to communicate complex processes and procedures to colleagues. Self-motivating, proactive and results-driven approach. Collaborative ethos is essential. Personal ...

CRU International Limited, based in Greater London, is seeking a Senior Data Scientist to join a global team. You'll engage in building predictive models and modern AI systems for Risk & Trading workflows. This role ...

We are looking for a AI Engineer Location : London Area, UK (hybrid) Mandatory skills : LLM, Google Cloud platform, Python. Experience: 6+ years in AI Engineering As an AI Engineer. You will develop and deliver LLM ...

Understanding of data architecture concepts, including data warehousing and data lakes. Exposure to cloud computing environments such as Microsoft Azure. Exposure to predictive analytics, machine learning, AI-enabled analytics or advanced statistical methods. Experience working with customer, commercial, subscription, product usage or behavioural datasets. Behaviors and Mindset: Demonstrates … reliable. Works collaboratively across Customer Insights, Product, Commercial, Technology and Data teams to build a more joined-up view of the customer. Shares learning openly, seeks input from others and helps translate business questions into clear analytical approaches. Acts with agility by adapting to changing priorities, working through ambiguity ...

Skills Senior product management experience for technical platform or infrastructure products, delivering complex roadmaps in regulated environments with minimal oversight. Strong understanding of the machine learning lifecycle and what it takes to move models and AI applications from experiment to production. Outstanding stakeholder management and influence; builds trust … requirements into product strategy and execution. Excellent written and verbal communication skills in English. Preferred Qualifications, Capabilities & Skills Product management experience for AI/ML, MLOps, or data platforms. Familiarity with MLOps concepts and frameworks, such as MLflow, Amazon SageMaker, and feature stores. Familiarity with AI concepts, such as Retrieval ...

data scientists working on the data processing and analytical capabilities. Spend most of your time on hands-on technical work with support for learning and professional development. Design, build and maintain scalable data pipelines to ingest, transform and process large and complex data sources. This can include automated … where necessary to support data pipelines and processing workflows on our AWS-based infrastructure. Design and maintain systems for data version control and reproducible machine learning workflows (MLOps). Work with analysts, data scientists, and engineers to translate analytical and operational requirements into data-solutions. What ...

data scientists working on the data processing and analytical capabilities. Spend most of your time on hands-on technical work with support for learning and professional development. Design, build and maintain scalable data pipelines to ingest, transform and process large and complex data sources. This can include automated … where necessary to support data pipelines and processing workflows on our AWS-based infrastructure. Design and maintain systems for data version control and reproducible machine learning workflows (MLOps). Work with analysts, data scientists, and engineers to translate analytical and operational requirements into data-solutions. What ...