1,651 to 1,675 of 6,465 Machine Learning Jobs in the UK

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 ...

Data Science concepts or LLM experimentation using structured evaluation frameworks Highly proficient in Python, including asynchronous programming, multithreading and writing maintainable code Experience deploying ML workloads to cloud platforms (Azure, AWS or GCP) Familiarity with CI/CD and containerisation (Docker/Podman) Applied knowledge of statistics and experimental design … travel Core Competencies Demonstrates expertise in Data Science concepts and LLM experimentation, with a strong focus on building scalable evaluation frameworks and deploying ML workloads on cloud platforms. Proficient in Python and capable of translating complex findings into actionable insights while managing fast-paced workstreams. Highest-signal resume keywords Data ...

mission and what we offer. Job DescriptionAbout the role: We are looking for an IC3 Machine Learning Engineer to join our Risk ML and Intelligence team. In this role, you will be key to enabling the building of our machine learning models by focusing … learn the wrong behavior. You will be responsible for label side quality, label monitoring, statistical integrity, and designing robust audit processes to ensure our ML infrastructure learns from clean, reliable data. How we work: At Wise, we operate with autonomous, cross-functional teams that put the customer first. We believe ...

mission and what we offer. Job DescriptionAbout the role: We are looking for an IC3 Machine Learning Engineer to join our Risk ML and Intelligence team. In this role, you will be key to enabling the building of our machine learning models by focusing … learn the wrong behavior. You will be responsible for label side quality, label monitoring, statistical integrity, and designing robust audit processes to ensure our ML infrastructure learns from clean, reliable data. How we work: At Wise, we operate with autonomous, cross-functional teams that put the customer first. We believe ...

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry‐leading, machine‐learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with … cutting‐edge, machine‐learning software A good remuneration and benefits package Applications If you would like to apply for this unique ML Engineer opportunity, we would love to hear from you. Please send an up‐to‐date CV via the relevant link. We’re committed to creating ...

Staff Product Manager, with a focus in Analytics, Experimentation, and CLV/LTV modelling, to lead the strategy, prioritization, and execution of AI/ML capabilities and products that drive business decision-making. This role operates at the intersection of business, product, data science, and engineering, and is responsible … leading high-impact problem spaces that span teams, while improving the effectiveness, consistency, and scalability of analytics product management practices. This includes technical ML solutions that help the business understand where player value is coming from and how it changes over time. The role is also responsible for creating ...

client, a leading global SaaS organisation is looking for a Senior Data Analyst to work on exciting AI/ML user experience projects for a 12 month contract. Hybrid with 3 days on site. Responsibilities; Providing data sources that help build the AI/ML user experience Build and maintain ...

master and owner of these integrations. Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure. ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handy with the most common … services or APIs. Experience with third-party APIs is essential. Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with AI and Data Scientists. Infra: Deep Knowledge of Docker ...

client, a leading global SaaS organisation is looking for a Senior Data Analyst to work on exciting AI/ML user experience projects for a 12 month contract. Hybrid with 3 days on site. Responsibilities; Providing data sources that help build the AI/ML user experience Build and maintain ...

client, a leading global SaaS organisation is looking for a Senior Data Analyst to work on exciting AI/ML user experience projects for a 12 month contract. Hybrid with 3 days on site. Responsibilities; Providing data sources that help build the AI/ML user experience Build and maintain ...

client, a leading global SaaS organisation is looking for a Senior Data Analyst to work on exciting AI/ML user experience projects for a 12 month contract. Hybrid with 3 days on site. Responsibilities; Providing data sources that help build the AI/ML user experience Build and maintain ...

with diverse teams to build scalable, high‐impact solutions. • Drive innovation by experimenting with emerging AI technologies. The Role As a Lead AI/ML Engineer , you will design, build and optimise scalable AI workflows and intelligent systems that enhance enterprise processes and customer experiences. You will work closely with … solution development, and ensure best‐practice implementation across model design, performance optimisation and integration. Key Responsibilities Design and implement AI workflows and high‐performing ML models. Build solutions using LangChain for agent‐based and RAG‐driven architectures. Optimise and scale AI/ML models for reliability and efficiency. Apply prompt ...

form around a problem and own the product end to end. No throwing models over a wall. What you'll do Take AI and ML systems from ideation to production Build GenAI applications with LLMs and orchestration frameworks, evaluation, safety and cost built in Write clean, production grade Python … technical stakeholders Minimum technical requirements - Important - please read before applying Python - strong and production-grade. There's a live coding exercise at interview. ML, full lifecycle - framing through training, deployment, monitoring and retraining. In production, not in a notebook. GenAI/LLMs - applications built with LLMs and orchestration frameworks, shipped ...

writing clean, high-performance code Expertise with Python (FastAPI) Pydantic Postgres 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. To learn more, please contact Matt Andrews at IC Resources. ...

Engagement & Value Articulation Lead solutioning conversations with senior executives to help them understand what AI can do for their business. Translate complex AI/ML concepts into clear, compelling narratives that resonate with non‐technical leaders. Facilitate strategy workshops, use‐case prioritization sessions, and AI roadmapping discussions. Solution Design & Technical … rates. Mentor junior solution consultants and sales engineers on effective storytelling, discovery, and solution design techniques. Requirement 7+ years in AI/ML pre‐sales, solutions architecture, technical consulting, or similar client‐facing roles. Strong experience supporting complex enterprise sales cycles and collaboration with account teams Ability to confidently engage ...

while navigating regulatory and compliance realities. Required qualifications, capabilities and skills Extensive product management experience or equivalent expertise, including extensive experience delivering AI/ML‐powered products, AI platforms, or developer tools in financial services or technology companies, and expert at navigating matrix and complex organisations, collaborating effectively across teams … Proven track record of owning AI product vision and roadmap end‐to‐end, and leading cross‐functional teams that deliver enterprise‐scale AI/ML solutions with measurable outcomes, including AI assistants, intelligent automation, AI‐native workflows, or developer productivity tools. Strong understanding of AI/ML model lifecycle management ...

Accelerate Delivery: Apply standardised processes and automated testing to streamline development and reduce time-to-market while managing terabytes of data daily. Driving AI & ML Initiatives: Champion LLMOps & MLOps Strategy, set the architectural framework for building, training, and deploying AI/ML models with automation and regulatory compliance in mind. …/Spring, Python, Docker, Kubernetes, AWS and DevOps methodologies. Familiarity with Spark, Iceberg, Parquet, and other solutions for large‐scale data processing. AI/ML & Analytics Background: Competent in ML & analytics, with exposure to LLMOps and MLOps practices (pipeline automation, model governance). Comfortable leading the architecture of AI solutions ...

Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred Strong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling. Strong hands-on experience with AI Development tools like Claude CLI, Windsurf Solid understanding of the ML lifecycle; exposure ...

someone who can drive innovation while delivering under tight timelines and high expectations. The role You will lead multidisciplinary engineering teams (AI/ML, data, software, platform) to deliver AI capabilities that are trusted, adopted, and production-grade . You’ll partner with senior stakeholders & Product Managers to define outcomes … Lead engineering execution across multiple teams, ensuring clear ownership boundaries, interfaces, and ways of working Drive pragmatic technical direction across AI systems: LLM/ML deployment patterns, model lifecycle, monitoring, and iteration Ensure production readiness: security, reliability, observability, governance, and cost awareness (FinOps mindset) Unblock teams through active problem-solving ...

architecture; 7+ years in Azure cloud; 5+ years in AI/ML. Hands‐on with Azure OpenAI, Azure AI Foundry, Document Intelligence, Data Factory, ML Service, Databricks, Key Vault, Blob Storage, Synapse Analytics, DevOps. Strong LLM, embeddings, RAG, prompt engineering knowledge. Expertise in secure API/event‐driven design, microservices … DDD. Experience with vector databases, semantic search, Azure ML pipelines, Power Platform, multi‐agent orchestration. Contract Details Duration: 6 months Working Model: London, Tunbridge Wells, Ipswich, Bolton (Hybrid - 3 days in Any locations) Role Type: Contract Salary Rate: £650 per day #J-18808-Ljbffr ...

Enfint ищет опытного backend‐инженера для проектов AI/ML и GenAI. Ваша задача — проектировать и строить надежные API на Python, интегрировать LLM с инструментами и данными и выносить решения в продакшн с учётом масштабируемости. Вы будете работать с Data Science, DevOps и инфраструктурой, наставлять коллег, развивать практики тестирования, мониторинга ...

aligned with Lakehouse best practices. Lead delivery of production-grade data platforms — ingestion, transformation, orchestration, governance through Unity Catalog, and downstream BI/ML enablement. Lead large-scale migrations (legacy DW/ETL, Hadoop, on-prem estates) and cloud transformation projects to Databricks on Azure/AWS/GCP, including … price them, and defend them under fire. Modern edge — strong Python/SQL/Scala, CI/CD for data platforms, and comfort integrating ML/AI (MLflow, LLM APIs like OpenAI and Anthropic) into what you build. Certified credibility — Databricks Data Engineer Professional/SA accreditations strongly preferred. Founder ...

make in this role? In this role, you will leverage diverse datasets and apply quantitative and data-driven analytical techniques, including AI/ML, to provide actionable insights and recommendations at the single name and/or sector/country level. These insights will enhance our investment process which spans … them — is important. What will you do as a Quantitative Strategist? Partner with portfolio managers and analysts to leverage data, quantitative techniques, AI/ML, visualization tools for research and analysis, validating investment hypotheses and providing actionable insights to help screen for investment opportunities and conduct due diligence ...

teams, this individual will transform assessment concepts into functional proofs of concept and serve as a subject-matter expert in psychometrics and AI/ML-based scoring. The position requires strong professional leadership, deep expertise in test development and validation standards, and a commitment to scientific rigor, high-quality documentation … concept using modern AI tooling and agentic workflows Owning psychometric quality across reliability, validity, and scoring, combining established psychometric theory with AI/ML scoring approaches to deliver accurate, robust, and explainable results Building fairness and legal defensibility into assessments from the design stage, maintaining current knowledge of relevant regulation ...

Front End Developers on integrating user-facing elements with server-side logic, and with the wider engineering team on the platforms our AI/ML models and IoT devices depend on. This is a broad, hands-on development role in a small team you’ll work across the full software … systems and SQL. Proficient with version control (Git) and modern development workflows. It would be great if you also have: Knowledge of AI/ML for computer vision or data analytics. Experience with cloud computing and databases. Familiarity with IoT communication protocols (MQTT, HTTP) or edge devices. Firmware development experience. ...