726 to 750 of 3,269 Machine Learning Jobs in the UK

senior level with evidence of growing scope and initiative.* Experience in cybersecurity, email security, or adjacent enterprise SaaS domains preferred.* Familiarity with AI/ML concepts including prompt engineering, model evaluation, retrieval-augmented generation, and agent orchestration frameworks is valuable but can be developed in-role.* Prior experience … have real customer impact. You will be immersed in a dynamic environment that recognizes and celebrates your achievements.Mimecast offers formal and ‘on the job’ learning opportunities, maintains a comprehensive benefits package that helps our employees and their family members to sustain a healthy lifestyle, and importantly - working in cross ...

large volumes of data with low latency and high reliability. Integrate Java applications with data platforms, streaming services and analytics pipelines, including AI/ML‐enabled systems. Apply secure coding practices and ensure solutions meet stringent performance, reliability and security requirements. Contribute to architectural design, code reviews, automated testing … year Career growth that keeps you ahead: We invest in your future with ongoing training and development, so you’re always learning, growing and staying ahead of the curve. Wellness that works for you: Love yoga, or going to the gym? We encourage an active lifestyle and support your ...

large volumes of data with low latency and high reliability. Integrate Java applications with data platforms, streaming services and analytics pipelines, including AI/ML‐enabled systems. Apply secure coding practices and ensure solutions meet stringent performance, reliability and security requirements. Contribute to architectural design, code reviews, automated testing … year Career growth that keeps you ahead: We invest in your future with ongoing training and development, so you’re always learning, growing and staying ahead of the curve. Wellness that works for you: Love yoga, or going to the gym? We encourage an active lifestyle and support your ...

trained efficiently, deployed securely, and operate at scale. This role sits within the Machine Learning function and works closely with ML Scientists, DevOps, Data Engineering and Software Engineering teams to turn research models into robust, scalable and reproducible training and inference workflows. What you will do Develop robust … large-scale model training. Act as a bridge between research and production, translating research into reliable, maintainable and scalable engineering components. Support cloud-based ML infrastructure such as MLFlow. Create and maintain CI pipelines for model training, testing and deployment workflows. Collaborate with DevOps and infrastructure teams on deployment patterns ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

using statistical rigor to compare alternatives and drive decisions. Collaborate with engineers, product managers, and analysts to translate ambiguous business problems into well-scoped ML solutions, including data requirements, modeling approach, and success metrics. Apply strong data modeling, feature engineering, and model selection skills across multiple domains, ensuring models … robust, explainable, and performant at scale. Safely integrate and operate AI/ML-enabled solutions that improve outcomes, including monitoring model performance, detecting degradation, and driving continuous improvements in production. Demonstrate familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real-world products, contributing ...

pipelines that support clinical-trial and real-world evidence programmes. This role sits within the Machine Learning function and works closely with ML Engineers, Data Scientists, Clinical Scientists and Imaging Specialists to ensure that research ideas are translated into reproducible model development workflows and clinically useful outputs. What … workflows. Work with clinical and scientific stakeholders to ensure model objectives are clinically meaningful. Train large models across GPUs and compute nodes, working with ML Engineers to improve performance and scalability. Work proactively, communicate progress clearly and identify risks early. Strong experience in machine learning research, with experience ...

helping us turn messy, real-world industry data into AI-driven insights and products. The role is a mix of data exploration, applied ML, and experimentation with LLMs. You'll be designing and running experiments, proving what works, and collaborating closely with engineers to turn research into production-ready systems. … processes into structured, usable formats Design, run, and evaluate experiments with rigorous statistical methods to validate hypotheses and measure business impact Build and prototype ML models for forecasting, optimization, and recommendation across domains like sales, inventory, and operations Explore and fine-tune large language models (LLMs) for practical use cases ...

self‐starter mindset; you proactively identify the most impactful issues and opportunities and collaboratively tackle them without being told to do so. Using advanced ML techniques to ensure Monzo’s customers money stays safe, even if their card, phone or account is compromised, sounds exciting to you. You have extensive … used in many of our backend microservices. You have experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production and delivering business impact. You thrive working on ambiguous problems and have a track record of helping your team and stakeholders resolve that ...

experience writing clean, high-performance code Expertise with Python (FastAPI) Pydantic SQLAlchemy AWS Experience with distributed systems tools (e.g. Redis, Celery) Any experience with ML inference - GCP, Modal would be useful Background working with streaming data or IoT/edge environments Previous experience in fast-paced or startup-style settings … ability to work effectively in cross-functional teams If you’re excited by the idea of working on cutting-edge platforms that integrate ML, Computer vision, data, AI, and real-world systems, this could be the role for you. #J-18808-Ljbffr ...

systems for text, image, speech, and video applications. Own end‐to‐end delivery, performance, and continuous improvement of LLM Suite products. Working closely with ML Engineering, Product Management, and Cloud Engineering, you will ensure our AI solutions are reliable, secure, and built for real business impact. Bridge advanced AI research … Skills Hold a PhD or possess equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline. Demonstrate extensive hands‐on experience in ML engineering, with a proven track record of shipping production AI systems. Bring deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with ...

help us scale. Who You Are You’re a seasoned engineer who has built and scaled high-performance inference systems for AI/ML workloads. You understand the complexities of serving models at scale latency optimization, resource orchestration, autoscaling dynamics, and production reliability. You’ve designed distributed systems that handle … readiness. Requirements Technical Skills & Experience* 4+ years of experience building and scaling backend systems, distributed platforms, or inference infrastructure Strong understanding of AI/ML inference systems and experience with inference engines (vLLM, TGI, TensorRT‐LLM, or similar) Deep knowledge of distributed systems design, microservices architecture, and API gateway patterns ...

with GDPR/CCPA and internal governance Deploy AI services on Azure using REST APIs Use Docker + Kubernetes for scalable production workloads Build ML-focused CI/CD pipelines Implement monitoring, drift detection, logging, alerting, and retraining Manage infrastructure with Terraform Candidate Requirements Experience 2+ years … Engineer or Software Engineer with strong AI/ML exposure Technical Skills Backend/API development with FastAPI/Flask/Django Agentic frameworks (LangChain, LangGraph, Microsoft Agent Framework) PostgreSQL, plus exposure to NoSQL and vector databases Work effectively with data scientists, PMs, and stakeholders Maintain strong documentation across pipelines ...

queues, serverless, logging/monitoring, secrets. Git workflows and CI/CD pipelines Debugging & problem-solving skills with strong ownership across the SDLC.Generative AI & ML Requirements Experience building agents Vector databases and RAG patterns (indexing, chunking, embeddings, retrieval). LLM integration (OpenAI, Azure OpenAI, Anthropic, or open source models) with … design, safety/guardrails, and cost/perf tuning. Nice to have - Highly desirable: experience with AgentCore, AWS Neptune, Amazon API gateway- Familiarity with ML fundamentals relevant to content generation (embeddings, tokenization, evaluation, fine tuning/LoRA, prompt+retrieval evaluation)- Frontend development with React (TypeScript preferred) to build the application ...

case studies, and reference accounts. Qualification 5–10+ years in Customer Success, Technical Account Management, or related enterprise‐facing roles, ideally in AI/ML infrastructure, cloud computing, or deep‐tech hardware or software. Demonstrated ability to manage complex, multi‐stakeholder accounts and build executive‐level relationships with technical … business audiences. Working knowledge of AI/ML workflows, large language models (LLMs), or HPC infrastructure — enough to credibly engage with data science and ML engineering teams. Proven track record of driving adoption, retention, and expansion within a technical enterprise product. Excellent project management skills with the ability to manage ...

will work closely with sector partners, delivery leads and outstanding technical talent across Optima, bringing deep expertise in cloud-native platforms, data engineering, ML/AI and regulated-industry delivery. Operating confidently with CTOs, Chief Data Officers, Heads of Data and Heads of Engineering, you will help translate technical capability … Engineering and equivalent stakeholders Building trust through depth of engineering, architecture and delivery experience Translating complex technical capability — including cloud-native platforms, data science, ML/AI and event-driven architectures — into investment cases and outcome-based propositions Owning technical input into proposals, scoping and commercial framing Positioning Optima ...

built — influencing the solution and winning the deal — without being buried in delivery execution. You’ll also have direct access to AWS AI/ML service teams and private betas, giving you an edge in positioning solutions ahead of the market. Basic Qualifications - Bachelor's degree in business administration, finance … frameworks including maturity models, operating model design, data product thinking, and governance - Knowledge of modern data and AI platforms including cloud-native analytics, lakehouse, ML platforms, and GenAI tooling - Experience leading or contributing to large-scale professional services or consulting engagements end-to-end - Understanding of organisational change management ...

Required Skills AI ML Python JavaScript Job Summary Solution Engineer – Enterprise AI (6-Month Contract) Waterloo, London , Onsite: 5 days per week £650 - £700 per day Duration: 6 months About the Role This is not a high‐level advisory role. As a Solution Engineer you will be on the ground ...

Artifactory, Nexus) and secure software supply chain practices. Knowledge of observability systems, telemetry frameworks, and performance optimization for build pipelines. Exposure to AI/ML-driven build acceleration and failure prediction tooling. Prior hands-on software development experience building customer-facing features. #J-18808-Ljbffr ...

networking . Ability to take ownership of production systems and drive continuous improvement initiatives. Desirable: Microsoft Azure experience. Experience deploying and supporting AI/ML applications in production environments. Exposure to Large Language Models (LLMs), NLP, or agent-based systems. Experience with observability and monitoring tools such as Sentry , Prometheus ...

tooling. Strong Microsoft Sentinel expertise: KQL, detection rules, workbooks, and logging pipelines. Working knowledge of DLP and threat intelligence monitoring. Experience applying AI/ML to security workflows – automated triage, behavioural analytics, or LLM‐assisted investigation. Understanding of AI security risks and frameworks: OWASP LLM Top 10, NIST AI RMF. ...

activations, secure data pipelines, and custom API connections. Deep expertise across Google’s advertising platforms (Google Ads, GMP) and Google Cloud (BigQuery, AI/ML, Data Analytics). Ability to translate complex technical solutions into persuasive storytelling for executive audiences. Ability to bridge pre-sales agreement shaping, architectural foresight ...

engineering experience with evidence of growing scope and initiative. Experience in cybersecurity, email security, or adjacent enterprise SaaS domains preferred. Familiarity with AI/ML concepts, including prompt engineering, model evaluation, retrieval‐augmented generation, and agent orchestration frameworks, is valuable but can be developed in‐role. Prior experience ...

paced, innovation-led environments. Strong stakeholder management and communication skills Certifications (Desirable) Microsoft Azure AI Engineer Associate Azure Solutions Architect Expert Relevant AI/ML or cloud certifications Mindset & Leadership Style Engineering-first leader: leads through hands-on capability and technical credibility. Outcome-driven: focuses on delivering measurable business value ...

Purview, Entra ID, DLP, or Insider Risk tools Understanding of ISO 27001, Agile ways of working Knowledge of statistics, data science, or AI/ML applied to cybersecurity Relevant certifications (MS-500, AZ-500, SC-series, Security+, GSOC, CCSK) Perks & Benefits Hybrid/remote working options Flexible benefits package Opportunity ...