1,826 to 1,850 of 6,391 Machine Learning Jobs in the UK

intelligence solutions to support internal operations, member services, and industry initiatives. The successful candidate will play a key role in building scalable AI and machine learning systems, working closely with cross-functional teams to translate business requirements into technical solutions. Responsibilities include developing and optimising machine learning … hold a degree in Computer Science, Artificial Intelligence, Data Science, or a related field, or possess equivalent professional experience. Significant experience in AI/ML engineering roles is required, with a demonstrated track record of delivering production-grade solutions. Required Expertise/Skills Strong proficiency in programming languages such ...

required Up to £105,000 DoE + package Active SC or DV Clearance required 2-stage virtual interview process Experience required in AI/ML, LLMs, Python, Customer Consultancy We're supporting a fast-growing, high-performing technical consultancy specialising in AI, data and software solutions across Defence and financial … exposure across the AI engineering stack and working on technically challenging, real-world problems. Responsibilities Deliver AI solutions from POCs through to production Apply ML/AI techniques to complex Defence challenges Provide technical expertise across projects and client engagements Develop robust, maintainable software using strong engineering practices Work across ...

Role: Sr. Gen AI ArchitectEmployment : Permanent Location: London,UK - hybrid Skills: Minimum of 7 years of experience in AI/ML architecture or a related role. Proven experience in designing and deploying generative AI models and solutions. Hands-on experience with AI frameworks and tools such as TensorFlow, PyTorch, Hugging … Azure, Google Cloud) and deploying AI solutions in cloud environments. Technical Skills: Proficiency in programming languages such as Python, Java, or C++.Strong understanding of machine learning algorithms, deep learningFull-Time ...

AI. You are both a deep technical builder and an expert business value translator. What you’ll do Partner with Account Executives and the ML team to lead the technical strategy for complex, enterprise sales cycles and co‐own the technical win Lead deep technical discovery sessions with a wide … range of stakeholders (from ML Engineers to MLOps leaders) to not only uncover business pain but to architect a complete technical solution and integration path Architect, build, and deliver highly‐technical, customised product demonstrations and proof‐of‐concepts (POCs) that solve specific, complex customer problems ...

technical designs and implementations, providing clear technical direction and sign‐off. Supporting and mentoring data scientists on complex technical challenges. Partnering with Data Architecture, ML & Data Engineering, and BI teams to ensure solutions are scalable, robust, and production‐ready. Evaluating new techniques and tools, guiding their pragmatic adoption. Communicating technical … science or machine learning roles. Proven experience operating as a senior technical lead, reviewer, or technical sign‐off authority. Strong experience building ML solutions on cloud platforms (GCP, AWS, or Azure). Advanced expertise in Python and SQL. Deep applied knowledge of machine learning techniques, including ...

evolution a success. Bring your experience. Bring your passion. Bring your drive. We want it all. You will be designing, developing and testing quality machine learning and data engineering solutions as well as s upporting the development, deployment and monitoring of machine learning models and data …/Python/Spark Experience of industrialising and scaling machine learning models. Experience in deployment, monitoring, retraining and lifecycle management of ML models. Understanding of containerisation and infrastructure tooling (e.g., Docker, Kubernetes – exposure beneficial) Exposure to MLOps practices such as model lifecycle management, monitoring, observability, and pipeline automation. ...

Accelerator's ability to train biomedical foundation models, manage experimentation at scale, operationalise discoveries and deliver production-quality AI depends on the ML platform, tooling and practices that underpin the entire model lifecycle. THE POSITION We are seeking a senior leader inMLOpsEngineeringto join Computational Innovation's AI Accelerator (@computationalinnovation). … monitoring and governance. This is both a strategic and hands-on technical leadership role. You will define architecture and standards,helpsolve the most challenging ML platform problems yourself and serve as the senior technical authority forMLOpswithin the AI Accelerator.As a senior member of the AI Enablement leadership team, you will ...

About SynMax, Inc. SynMax is a geospatial intelligence company. We fuse multi-sensor satellite imagery with signals, vessel-tracking and proprietary machine learning models, and apply trained analysts to produce finished intelligence on activity in low-transparency environments across the maritime and energy domains. About SynMax, Inc. SynMax … equivalent cloud data platforms. Experience with geospatial tooling and libraries (e.g., QGIS, GDAL, GeoPandas). Experience with PyTorch, scikit-learn, or similar ML frameworks. Background in maritime, defense, intelligence, or energy domains. #J-18808-Ljbffr ...

build scalable, secure, and reliable machine learning services while driving innovation and operational excellence. ResponsibilitiesLead and grow a team of full-stack ML engineers, QA engineers, and a UI developer. Define technical direction for AI-enhanced services, internal tools, and platform components. Drive architecture for model deployment pipelines … inference APIs, and data and feature systems. Ensure high-quality delivery across code quality, testing, documentation, and observability. Partner with Product, Architecture, and ML Research teams to prioritise and scope work. Foster a culture of modern AI development practices, including LLM tooling, MLOps, and automation. Set and enforce DevOps ...

Treasury AI Engineering LeadIn this key role, you'll lead the adoption and scaling of Generative AI and advanced machine learning (ML) within Treasury to transform our function into a predictive, real-time, and data-driven business partnerYou'll add real value by building and sharing your technical … wider technical audience informed by sharing your insights into the latest industry trends. In addition, you'll be: Designing and delivering AI and ML solutions for Treasury use cases, such as liquidity forecasting, capital optimisation, and risk managementOverseeing the migration to secure, scalable cloud-based environments, enabling experimentation and prototypingChampioning ...

provide our customers with the information they need to make proper decisions and enable their digital transformation. You will help find the appropriate machine learning algorithms to answer those questions and implement those on the C3 AI Platform so they can run at scale. Qualified candidates will have … agentic solutions, regression and classification, supervised, and unsupervised learning). Strong mathematical background (linear algebra, calculus, probability and statistics). Experience with scalable ML (MapReduce, streaming). Ability to drive a projectand workbothindependently and in a team. Smart, motivated, can do attitude, and seeks to make a difference. Excellent ...

Data team, working within Risk & Fraud. The brief is simple: reduce fraud without adding friction for good users. In practice that means ML models, deterministic rules and signal tuning, and working directly with our external risk vendors. You own that work end to end, from the question, to what ships … analyze A/B and multivariate experiments, identify conversion bottlenecks (KYC, payment method, geo), and partner with PMs and designers to ship measurable improvements. ML/AI modeling. Design, train, and deploy machine learning models, from classification and forecasting to clustering and recommendation, that power decisions inside ...

serving it in production.You'll translate research decisions — architecture choices, tokenisation trade-offs — into production systems that set the direction for how other Klarna machine learning teams work.You'll evaluate the customer representations the model produces against real underwriting outcomes, not just training-loss metrics.Who you areYou understand … playbook yet.Bonus points forYou've optimised GPU-level performance or written Triton kernels.You have machine learning experience outside deep learning — classical ML, statistics, or other modelling approaches.You've worked with large-scale transactional or financial data before.You've worked in ML infrastructure or MLOps.You hold ...

required to provide hands-on technical leadership to an agile development team within client’s Land Registration domain seeking to leverage document processing and ML to realise new automation opportunities for the organisation. SKILLS/EXPERIENCE OF THE PYTHON ENGINEER Commercial experience with AI/ML technology: OCR, Object Detection … endpoints Requests library for HTTP client operations and external API integration Authentication/authorization implementation (JWT, OAuth) Software Development: Making excellent quality AI/ML software collaboratively with other engineers Working effectively under technical leadership while contributing specialized AI/ML expertise Design and implementation of AI/ML solutions ...

Amazon Web Services Professional Services (ProServe) team is seeking a Senior Delivery Consultant specialising in AI/ML and generative AI to join our Data & AI practice. In this role, you will lead the technical direction and delivery of complex enterprise AI engagements, working across multiple workstreams and helping customers … more programming languages, APIs, data pipelines, infrastructure as code, and continuous delivery practices.- Select and evaluate appropriate AI approaches, which may include traditional ML, foundation models, retrieval, model adaptation, tool use, or agentic workflows.- Establish evaluation and responsible AI controls covering solution quality, safety, privacy, security, latency, reliability, and cost. ...

databases and other business applications. Develop straightforward and user-friendly AI applications for web and Microsoft Teams. Develop and deploy LLM and machine learning solutions into production environments. Implement monitoring, logging and audit processes to support GDPR, ISO and wider security requirements. Work with internal stakeholders to understand … within the business. Ensure solutions are secure, scalable, maintainable and aligned with company standards. Essential Experience 2-4 years' experience in AI/ML, software engineering or a closely related field. Experience deploying LLM or machine learning solutions into production. Strong programming skills in Python and/ ...

What we're looking for 5+ years of experience in hard science research, AI for science, data science or industry R&D. Experience applying ML to drive scientific progress in silico or in situ on in‐lab or real‐world datasets. Demonstrated track record of success in research, whether papers … centre. Strong candidates may also have PhD in a scientific discipline. Contribution to a well‐cited work in AI for Science writ large (e.g., ML to predict protein structure, neural weather forecasting systems, reinforcement learning for materials discovery, or causal models for financial risk prediction). Hands‐on experience ...

production. You'll translate research decisions — architecture choices, tokenisation trade-offs — into production systems that set the direction for how other Klarna machine learning teams work. You'll evaluate the customer representations the model produces against real underwriting outcomes, not just training-loss metrics. … points for You've optimised GPU-level performance or written Triton kernels. You have machine learning experience outside deep learning — classical ML, statistics, or other modelling approaches. You've worked with large-scale transactional or financial data before. You've worked in ML infrastructure or MLOps. ...

problems no one has cracked yet-and you will play a central role in designing, implementing, and deploying advanced AI/ML methodologies and production-grade systems. Your work will be held to the scrutiny of energy analysts, traders, operationsteamsand regulatory stakeholders, and must meet the performance, reliability and robustness … projects across Data Science, Machine Learning and AI, whileremaininghands-on and capable of building and deploying production-grade models. Deeply grounded in ML/AI: strong in the theoretical and mathematical foundations of the field, with the ability to engage critically with current research and emerging methodologies. Engineering ...

real-time data pipelines. Develop data ingestion, transformation and storage solutions for operational and AI workloads. Build and optimise vector search, retrieval systems and ML data pipelines. Ensure data reliability, governance, monitoring and observability across the platform. Work closely with AI, backend and product teams to support model training, inference … Kafka, Elasticsearch/OpenSearch, Pandas and Polars . Strong understanding of data modelling, storage architecture and performance optimisation. Desirable Experience working on AI or Machine Learning platforms. Knowledge of cloud platforms (AWS, Azure or GCP). JavaScript/Node.js experience. Event-driven architecture and stream processing experience. Previous ...

Platform Owner, this role will be a senior technical leader responsible for the strategy, design, and implementation of advanced AI and ML use cases across the firm. The role is a member of AI leadership and is responsible for managing and motivating a team of skilled IT professionals and directing … integration into other systems while providing feedback to continue to evolve the AI platform. The ideal candidate will have a strong background in machine learning, data analysis, and software development. The role will be responsible for designing, developing, and implementing AI solutions to solve complex problems and enhance ...

Platform Owner, this role will be a senior technical leader responsible for the strategy, design, and implementation of advanced AI and ML use cases across the firm. The role is a member of AI leadership and is responsible for managing and motivating a team of skilled IT professionals and directing … integration into other systems while providing feedback to continue to evolve the AI platform. The ideal candidate will have a strong background in machine learning, data analysis, and software development. The role will be responsible for designing, developing, and implementing AI solutions to solve complex problems and enhance ...

keen ability to assess, analyse, and meet client-specific needs. You will play a major role in developing and implementing Machine Learning (ML) and Artificial Intelligence (AI) solutions for our clients, along with providing key advice around innovation and new techniques to stakeholders. You will be designing solutions … complex challenges and will integrate code with software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.) to tackle real world problems, applying tools and techniques, and developing novel approaches where required. Building ...

building and optimising large-scale data pipelines and distributed processing solutions within an AWS environment . The role will also support modern AI/ML and Generative AI initiatives by developing scalable, secure and reliable data platforms. Key Responsibilities Design, build and maintain high-throughput data pipelines using Apache Spark … within AWS environments. Develop performant solutions using Java or Scala alongside advanced SQL. Support modern data lake and lakehouse architectures. Work alongside AI/ML teams to provide data platforms supporting Generative AI, machine learning and advanced analytics use cases. Implement appropriate data quality, governance, security and monitoring ...

governance. What you'll be doing: AI Opportunity Identification: Actively research and identify high-impact opportunities for leveraging agentic technologies and broader AI/ML capabilities across our media business operations and client offerings. Concept Prototyping & Validation: Work hands-on with cross-functional teams to prototype, test, and validate … media and advertising industry, including its key players, workflows, and operational challenges. Familiarity with common media production tools and workflows. AI/ML Foundations: Demonstrated interest and foundational knowledge in Artificial Intelligence and Machine Learning concepts, including Generative AI and/or agentic systems. You should be excited ...