376 to 400 of 3,223 Machine Learning Jobs in the UK

ensuring traceability, documentation accuracy, and compliance. Ensure solutions meet compliance standards (e.g. ISO 27001). AI & Data Awareness Ensure solution designs support AI/ML-enabled capabilities where relevant (e.g. data lineage, governance, feature management, and model integration patterns). Collaborate with wider technical teams to define integration approaches … Zachman). Background in software engineering, data architecture, or infrastructure engineering. Exposure to designing internal accelerators, frameworks, or reusable components. Awareness of AI/ML architecture patterns, generative AI integration considerations, or data lineage and monitoring concepts. Company Rapidly growing financial services organisation with offices in London Hybrid working Salary ...

partnership with program leaders, the SVP for Research, Innovation, AI, and People & Culture, and the T4P demand pipeline.Stay at the edge of AI/ML advances — particularly in agentic systems, multimodal models, and edge/on-device inference — and bring promising approaches to IRC's programs.Serve as a core member … incorporating appropriate redundancy, security, backup, and recovery strategies — including for sensitive humanitarian data.Research and recommend technology products, services, and standards — particularly in AI/ML — to support procurement, development, and strategic decision-making.DevOps and Engineering OperationsOversee deployment pipelines, CI/CD automation, infrastructure-as-code, and QA processes to ensure ...

data and regulatory controls. You will design, develop, and operate secure, reliable, and scalable systems that power business controls, analytics, reporting, and AI/ML use cases. You will partner closely with domain teams, platform engineering, and operations to deliver production-grade services and curated datasets aligned to platform standards … data quality, observability, and metadata management practices and tools (data validation frameworks, lineage, monitoring, and alerting) Experience enabling analytics, reporting, and AI/ML workloads through curated datasets, performance-optimized pipelines, and reliable service interfaces Experience developing or supporting regulatory controls use cases, including auditability, traceability, and evidence-driven control ...

degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related technical field. 2+ years of experience in software engineering, AI/ML engineering, backend development, or adjacent domains, with strong software engineering fundamentals and the ability to build production-grade systems. Strong proficiency in Python, plus experience … LangChain, AutoGen, or Semantic Kernel. Experience with video, audio, TV, or edge-device environments, especially where latency, cost, and hardware constraints matter. Familiarity with ML/DL frameworks such as PyTorch or TensorFlow. Research experience, paper implementation experience, or a habit of applying emerging GenAI techniques pragmatically to real problems. ...

technical blog posts. Qualifications 8–12+ years engineering experience. 3+ years in customer‐facing or FDE roles. Proven track record deploying AI/ML or data‐intensive applications in production. Strong full‐stack skills: Python, Node.js/Go, React/Vue, SQL, REST/GraphQL. DevOps proficiency: Docker, Kubernetes ...

clients and business partners around the world. Job responsibilities Design, build, and maintain scalable data platforms and pipelines that support analytics and AI/ML use cases. Own and optimize Retrieval-Augmented Generation (RAG) pipelines to enable LLMs to safely and accurately use enterprise data. Implement and integrate GenAI capabilities ...

services such as SQS, SNS, Step Functions, EventBridge or Secrets Manager. Big data technologies including DuckDB, pandas, Spark, Databricks or Snowflake. AI/ML technologies including vector databases, semantic search or LLM orchestration frameworks. Continuous delivery and modern development workflows. Data science applications or financial data visualisation. What We Offer ...

Preferred Attributes Experience across multiple industries such as Retail, Consumer Products, Manufacturing, Life Sciences, Financial Services, Energy, or Public Sector. Exposure to AI/ML integration within enterprise analytics platforms. Strong consulting, advisory, or client‐facing experience. Excellent communication, stakeholder management, and leadership skills. Ability to bridge business strategy ...

Excited If You Have At least 10 years experience in a Software Engineering environment. Substantial project experience based on using AI/ML and LLM technologies. Proficiency in scripting languages such as JavaScript, TypeScript, React Native, Python, BrightScript, or related technologies. Experience working in an embedded environment. Consumer electronics experience ...

/GCP) and building secure, scalable services. Experience with event‐driven architectures, streaming, and near‐real‐time optimisation. Experience with data science/ML components that complement optimisation (forecasting, demand estimation, delay prediction). Technical Skills & Tools Optimisation: Gurobi (or equivalent), model libraries/APIs, batching/warm starts, parameter ...

comparable — including supervisor/multi-agent patterns. Strong AWS engineering background (Bedrock, Lambda, S3, IAM, CloudWatch); production operating experience on AWS-native AI/ML stacks. Demonstrated experience designing evaluation frameworks for non-deterministic AI outputs: golden datasets, regression testing, human review workflows, agent-level metrics. What We Offer: Competitive ...

research, analytical, and problem-solving skills. Excellent written and verbal communication skills. Ability to collaborate effectively within cross‐functional teams. A proactive approach to learning new technologies and adapting to a rapidly evolving AI landscape. Key Responsibilities Over the next 18 months, the successful candidate will contribute ...

ownership. Excellent written and verbal communication; able to make agentic trade‐offs accessible to non‐AI audiences. Advanced degree in Computer Science, AI/ML, or a related field — or equivalent practical experience. Job Benefits Work with top talent and great colleagues who are industry and technology experts. Operate ...

Your impact Secure, repeatable deployments across enterprise cloud environments. Increasingly, Gigaton deploy cloud workloads across GCP, AWS, and Azure, so that we can deploy ML‐Ops and data solutions inside our customer’s perimeter. You will help to design, simplify, and improve our entire stack so that we can meet ...

transitions and operating model transformations for global financial services clients Published thought leadership in SRE, platform engineering, or IT transformation Experience with AI/ML‐driven operations (AIOps) and emerging automation technologies ITIL 4 Managing Professional or Strategic Leader certification Benefits We help take care of your today and tomorrow ...

based interfaces. Data or solution architecture experience: target-state modelling, integration patterns, event-driven design, canonical semantic layers. Exposure to AI/ML data requirements and the data modelling implications of analytics and LLM-enabled use cases in asset management. Certifications: DAMA/CDMP, TOGAF, or cloud data certifications (Snowflake ...

choices, production readiness and handover quality within the scope of each initiative. Skills & Experience: Essential Minimum 4+ years’ experience in software engineering, AI/ML workflow delivery or systems integration, with a demonstrable track record of full-stack delivery in production AI environments. Minimum 2+ years’ operating in a senior ...

Context Protocol) Experience with MLOps/LLMOps tooling such as experiment tracking, model versioning, monitoring, evaluation/observability platforms, or CI/CD for ML and LLM systems Experience implementing responsible-AI or AI-governance controls such as guardrails, human-in-the-loop oversight, and audit trails in production Experience ...

Learning, Data Science and Experimentation efforts, reporting to the Vice President of Engineering. You will play a pivotal role in shaping our ML and AI strategy and ensuring we leverage our data assets to their full potential to drive growth and competitive advantage. This spans the personalization, recommendation … will run your organization as a hub-and-spoke: a strong central team that owns talent, craft standards, career growth, tooling, and long-horizon ML strategy, with scientists deployed close to the product areas they serve so delivery stays fast and grounded in real business context. You will ...

Python, and should be as comfortable refactoring a trainer class or a dataset loader as you are writing Terraform. Responsibilities Own and evolve the ML systems that enable training, evaluation, and serving of large foundation models — trainer, dataset loaders, checkpointing, and experiment orchestration code. Distributed training enablement: Improve high‐throughput … optimize the underlying storage at petabyte scale (object storage, fuse mounts, caching layers, shared filesystems, and relational/analytical/embedded metadata stores). ML workflow orchestration and serving: Operate the systems researchers use to launch experiments, data jobs, and production endpoints — workflow engines (e.g., Kubeflow Pipelines, Airflow), GPU schedulers ...

these technologies. We invite you to join us on this exciting journey and drive your career forward. Job Summary Research and develop large-scale machine learning systems, alignment workflows, and optimization infrastructure to advance LLM reasoning and post-training capabilities. Design and execute scaled reinforcement learning pipelines … Specific Languages (e.g., TileLang, Triton) to optimize low-level memory placement, layout propagation, and thread-block scheduling. Research publications at top-tier AI/ML conferences (NeurIPS, ICLR, ICML) or a strong open-source GitHub footprint in LLM training/infrastructure. What we offer 33 days annual leave entitlement ...

Machine Learning Engineer - Spiking Neural Networks Salary: £75,000 to £100,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time MFK Recruitment is seeking a specialist Machine Learning Engineer to help develop an engineering … grade Spiking Neural Network engine for practical machine vision applications. Our client develops advanced AI and Machine Learning technology for defence, security and other demanding operational environments. Its work combines computer vision, perception and neuroscience-inspired technology to produce accurate and robust AI systems. MFK Recruitment ...

Overview We are looking for a Senior ML Engineer to take technical ownership of our machine learning production environment. You will lead the transition of experimental models into production-grade services that are reliable, scalable, and cost-effective. Your mission is to build the “highway” that allows … data science team to deploy models rapidly while ensuring those models are observable and fiscally responsible. You will own the entire ML lifecycle—from automated training pipelines to real-time inference clusters—and serve as a key software engineering contributor to our AI product stack. This is a hybrid role ...

frameworks, along with a solid understanding of core AI concepts and model behaviour. The role centres on testing, validating, and benchmarking a complex ML software stack, with a particular focus on performance, reliability, and correctness across modern AI workloads. The ideal candidate is an experienced ML engineer who understands … contemporary models are trained and executed, and who has hands‐on experience debugging functional and performance issues in ML systems. This person will be comfortable working with industry-standard frameworks and state-of-the-art models, bringing them up on internal infrastructure, and collaborating closely with software and hardware teams ...

/ML Senior Software Engineer, Data Optimization and Platform corporate_fare Google place London, UK Bachelor’s degree or equivalent practical experience. 5 years of experience with data structures and algorithms in Python. 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating … responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Experience with data analysis, data optimizations and data evaluations. Preferred qualifications Master's degree ...