751 to 775 of 1,655 Machine Learning Jobs in England

distributed teams across UK and US time zones Important Context The client has already screened a number of candidates with strong theoretical or traditional ML/data science backgrounds who lacked depth in production-grade GenAI delivery. This role requires candidates with genuine hands-on experience implementing enterprise AI systems ...

derivatives pricing across Front Office, Model validation or Risk functions within financial services Solid background in stochastic calculus and data science including AI/ML techniques Experience with flow and exotic products in one or more asset classes Strong programming skills (e.g. C++, Rust, Python) and familiarity with software development ...

take ownership of technical decisions Nice to have (but not required): Experience with Python in backend, data, or automation contexts Exposure to AI/ML or large language model-based systems Kubernetes and container orchestration experience Tech environment Languages: Java (primary), other JVM languages welcome; Python a plus Frameworks: Spring ...

enhance security policies, standards, and procedures across the organisation.* Manage the information security risk program, maintaining a comprehensive risk register.* Oversee AI/ML security risk management, including the development of policies for generative AI technologies.* Collaborate with Financial Crime and Anti-Fraud teams to mitigate cyber risks related ...

design, dashboard development, data modeling/semantic layers, and instrumentation concepts) sufficient to partner effectively with data and engineering teams. Familiarity with AI/ML-enabled tools and practical applications that support product management, workflow efficiency, insight generation, or decision support. Knowledge of governance considerations related to AI, model risk ...

enhance security policies, standards, and procedures across the organisation.* Manage the information security risk program, maintaining a comprehensive risk register.* Oversee AI/ML security risk management, including the development of policies for generative AI technologies.* Collaborate with Financial Crime and Anti-Fraud teams to mitigate cyber risks related ...

team of engineers remotely, challenged architectural decisions, and driven the right practices for the team. Full-stack data experience at scale : Ingestion, ML/AI modelling, analytics. You've designed complex end-to-end solutions, not just one layer of the stack. Google Cloud hands-on experience: BigQuery, Analytics ...

enablement, or user-adoption strategies for newly launched enterprise tools. Ability to foster user engagement through training , workshops, and user-friendly documentation. AI/ML Program Exposure: Experience delivery-managing data pipeline readiness, ELT/ETL architectures, and data preparation specifically geared toward AI model integration Technical Fluency: A strong ...

financial industry, specifically in Back Office solutions Experience working with Sales, Account Management, Product and Technology teams. An awareness of Artificial Intelligence and Machine Learning. An awareness of SaaS capabilities (IBM, AWS, Azure, GCP, etc.) Collaboration skills including working in complex matrix organizations. Applicants for this role should note ...

experience in conducting or leading financial crime risk assessments and/or change impact assessments. Experience delivering data-driven products, including applying AI/ML in Financial Crime contexts and building or enhancing case management systems and investigator tooling. Experience developing products for investment platforms or digital consumer banking, ideally ...

executive audiences Collaborate across globally distributed teams with awareness of time zone considerations and asynchronous work patterns Guide teams in embedding AI/ML features—prompt engineering, model inference, feature pipelines—into platform services Contribute to technical planning, architecture decisions, and incident retrospectives Platform & Product Mindset Apply product thinking ...

with strict data governance requirements. Engineering Rigor. Track record of building observable, testable, well‐documented systems. Experience with CI/CD for data and ML pipelines, data quality frameworks, and infrastructure‐as‐code practices. Communication & Influence. Ability to translate between deep technical architecture and business strategy. Comfortable presenting ...

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 ...

Senior Applied Scientist for the Alexa International team in London. You will advance the state of the art in multilingual speech generation using deep learning techniques. The role involves collaborating with skilled peers and optimizing algorithms for voice experiences. The ideal candidate will hold a Master … have solid experience in machine learning and speech synthesis. Join us to contribute to creating innovative AI technologies. #J-18808-Ljbffr ...

science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills … awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible ...

CVFine by Instrovate Technologies is looking for a hands-on engineer to develop cutting-edge ML products that enhance customer experiences. This role involves rapid research-to-production cycles for innovative ML applications, partnering with a diverse cross-functional team to deliver effective solutions. The ideal candidate will have … strong foundation in machine learning, a minimum of 5 years of practical experience, and proficiency in Python, Java, and SQL. The position offers competitive compensation and various benefits, encouraging a focus on excellence and innovation. #J-18808-Ljbffr ...

technologies in line with enterprise policies. Continuously explore emerging AI capabilities to enhance delivery outcomes. Skills & Experience: Experience with AI/ML workflows and document intelligence solutions. Strong programming skills (Python, APIs, data processing frameworks). Experience with cloud-based AI services and scalable architectures. Understanding of model validation, accuracy … lifecycle management. Experience integrating AI into enterprise systems. Experience developing and deploying AI or machine learning solutions. Strong programming and analytical skills. Understanding of model validation, performance, and governance. Experience integrating AI into production systems. Experience working in Agile/DevOps teams. Degree in Artificial Intelligence, Computer Science ...

Analytics Officer, this is an opportunity to become the operational right-hand to a senior leader driving transformation across Data Engineering, Analytics, BI and Machine Learning. This isn't a traditional project coordination role. You'll be responsible for bringing structure, pace and accountability to a technically ambitious team … What you'll be doing: • Managing end-to-end delivery of data and analytics projects • Coordinating work across Data Engineering, BI and AI/ML teams • Running Agile ceremonies and delivery governance • Managing project plans, RAID logs and stakeholder communications • Removing blockers and driving accountability across teams • Translating technical progress ...

publications role. It is a role for someone who wants to do serious science and see it matter. WHAT YOU BRING PhD in Machine Learning from a leading research institution 7+ years leading applied AI research teams in a commercial environment with access to large-scale, unique data … Deep expertise in at least two of: LLMs and foundation models (pretraining, fine-tuning, distillation), physics-informed neural networks, or reinforcement learning Experience with agent frameworks, tool-use planning and workflow orchestration Systems-level fluency across data pipelines, training infrastructure and inference (PyTorch, JAX, TensorFlow) Strong MLOps discipline ...

manage the infrastructure that operationalizes machine learning models for their Global:IQ team. The role involves designing robust pipelines, implementing monitoring for ML workloads, and enhancing model governance. The ideal candidate possesses strong programming skills in Python, hands-on experience across the ML lifecycle, and expertise in AWS. ...

system went from <1 to 80 checkouts/second (800k req/s at CDN level) in less than a minute. Complex state machine : we need to manage the lifecycle of pre-orders across many disparate third-party systems (ERPs, OMSs, 3PLs, Shopify, Stripe). Different use cases … communicate more effectively). As we scale we are discovering every day what does and does not work - you need to be comfortable with learning from failure. Desire to release early and iterate: you are happiest when the things you build go live. We make heavy use of feature ...

issues Working with SQL to analyse and validate data Using Linux on a daily basis Supporting client-facing environments Managing tickets and operational workflows Learning about trading infrastructure and financial markets Over time, you'll develop into a specialist Trading Infrastructure Engineer, gaining exposure to performance monitoring, observability, networking … PostgreSQL Networking fundamentals Monitoring and observability tools What This Role Isn't This isn't a software development role. It isn't an AI, machine learning, or product engineering position. Instead, it's a technical operations and infrastructure-focused role where you'll learn how critical trading systems ...

engineering, and commercial stakeholders across the business. This is a hands-on mid-level Data Scientist role focused on developing and deploying customer-focused machine learning models. Projects include: Customer segmentation Customer Lifetime Value (CLTV) modelling Demand forecasting Propensity modelling Targeted promotions and campaign optimisation Data Science initiatives … models A practical and commercially minded approach to Data Science Nice to have: Cloud exposure (GCP or Azure) Experience with Vertex AI or Azure ML THE BENEFITS Up to £50,000 HOW TO APPLY Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply ...

alongside the team Strong experience working in Agile environments What Sets You Up for Success: Experience with C#, Postgres, React/Angular Experience with ML Systems, Architectures, and Techniques Experience with Microservices, robust UI/UX, and high availability applications Long‐term experience in managing full‐stack solutions across … tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we’re not just watching the future of hospitality unfold – we’re coding it, designing it, writing ...

understand data capture mechanisms and pipelines Contribute to shaping the technical roadmap and direction of the product Explore opportunities to leverage AI/ML techniques (including LLM-related approaches where relevant) Scale solutions from prototype through to production Key Requirements Proven experience as a Data Scientist within … from hardware or IoT/wearable devices Ability to operate with limited direction and take ownership of solutions Strong programming skills (e.g. Python, relevant ML libraries) Experience deploying models into production environments What’s on Offer Salary of £60,000 – £90,000 Opportunity to join a high-growth AI company ...