1,076 to 1,100 of 1,295 Machine Learning Jobs in the UK

frameworks Embed data quality checks by default (schema validation, completeness, freshness, thresholds, alerting) Improve pipeline resilience, monitoring, observability and recovery mechanisms Integrate AI/ML capabilities where appropriate (e.g. anomaly detection, intelligent monitoring) Support delivery of a wider Data Strategy programme , improving consistency and data quality Ensure pipelines are production … strong SLAs Exposure to AI-enabled data pipelines (e.g. anomaly detection, intelligent monitoring) Experience with data quality at scale Understanding of MLOps or deploying ML models into production Must-Haves Strong hands-on experience with GCP, Python and Scala Proven track record delivering production-grade data pipelines Deep expertise across ...

clear reporting and updates for senior executives to support decisions and prioritisation. What you’ll be doing Define the vision for standardised AI/ML tooling, reusable services and governed pathways to production Translate strategy into a multi‐quarter roadmap with clear priorities across capability build, reliability, technical debt … driven patterns Apply AI engineering experience including the use of coding agents such as Claude or Codex Use strong working knowledge of data and ML concepts such as training vs inference, feature stores, model registry, drift, bias and evaluation Apply observability and SRE practices including metrics, logs, traces, SLOs ...

into business workflows to deliver measurable commercial impact. The responsibilities of the Chief Data & Analytics Office include advancing both traditional AI/ML and generative AI capabilities, identifying priorities and focusing on high-impact AI use cases, setting the GenAI strategy around LLMs and Agentic AI, reusing and scaling … experience with diverse problem-solving background required – e.g. top strategy consulting firm, internal strategy, investment banking, private equity Deep knowledge and understanding of AI&ML preferred (esp. how to use GenAI tools/Prompt Engineering, retrieval-augmented generation (RAG) and agentic workflows) BSc or MSc degree in relevant field Outstanding ...

Full Stack Engineer – ML/GenAI Our trusted partner, which operates within the Ed-Tech domain, employs over 10,000 individuals across 100 countries, and has a reach of 600 million users, is recruiting a Full Stack Engineer with hands-on development capabilities in Python, JavaScript/TypeScript and ML … Experience in software development and architecture, with a track record of delivering high-quality, scalable software applications, is desirable. Experience working on AI/ML/LLM-based applications is desirable. Beneficial technical skills include: AWS – including certification Terraform Kubernetes Data science/ML tooling – scikit, TensorFlow, hugging face, pytorch ...

Data Science/ML Engineer (Contract) Glasgow (1 day per week) 600/day (Outside IR35) 3 Months We're hiring a hands-on ML Engineer to help a growing data-led marketing business unlock the value of its dataset across lead generation and tender platforms. The role: Building intelligent … enrich CRM data and extract insight from transcription data. Identify key data signals driving revenue and optimise over time. Deploy solutions in a cloud ML environment (GCP/Vertex AI) What we're looking for: Strong commercial Data Science/ML experience. Python and cloud ML platforms (GCP/Vertex ...

enabled travel platform that drives innovation and is at the forefront of the travel industry. Your efforts will focus on integrating advanced AI/ML technologies, conducting rigorous market analysis, and leading product direction with data-driven insights and strong customer empathy to define product strategy, prioritize roadmaps, and drive … from discovery through post‐trip servicing) and recommend customer‐centric product and UX solutions to increase understanding, trust, and conversion Data, Experimentation & AI/ML Facilitate integration of AI/ML into product functionality (e.g., personalization, pricing support, or servicing flows) by leveraging an understanding of model development (data collection ...

from discovery through post‐trip servicing) and recommend customer‐centric product and UX solutions to increase understanding, trust, and conversion. Data, Experimentation & AI/ML Facilitate integration of AI/ML into product functionality (e.g., personalization, pricing support, or servicing flows) by leveraging an understanding of model development (data collection … related field, or equivalent related professional experience; 3+ years of relevant experience required. Proficiency in Agile product development practices. Knowledge of AI/ML concepts and their application in products. Knowledge of data science principles and experimentation, including A/B testing and hypothesis‐driven development. Proficient written and verbal ...

integration. Frameworks: Hands-on experience building GenAI applications using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration). ML & Cloud Ecosystems: Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow, MLflow, MLOps practices, containerization (Docker, Kubernetes/AWS EKS), and cloud services (AWS Bedrock, SageMaker ...

pipelines Applying software engineering principles to data systems Designing for observability, lineage, and data quality Working in cloud environments (AWS or Azure) AI/ML Data Experience Building feature pipelines and ML-ready datasets Supporting MLflow-based tracking and lineage Experience with embedding/retrieval pipelines and vector data workflows ...

business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof … transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable ...

business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof … transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable ...

business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof … transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable ...

data handling. Coaches and mentors team members on AI engineering practices, prompt design patterns, and agentic system architecture — fostering a culture of continuous learning and technical excellence. Avidly communicates progress and project status across the organisation and ensures that stakeholders are managed appropriately throughout the execution period. Fosters … production engineering role with high business impact and a strong programming foundation (Java, Python, Go, or equivalent). Hands‐on experience with AI/ML engineering — including working with LLM APIs (OpenAI, Anthropic, Gemini, or open‐source equivalents), embedding models, and vector databases. Proven expertise in prompt engineering : designing, iterating ...

than build them from scratch. You will work within our product organization (eight squads across AI, data, and domain verticals) and partner closely with ML engineers, data scientists, domain experts, and designers. This is a high‐autonomy role with real scope to shape what 9fin's AI products … collaborative environment for your squad, providing wider context and clear goals so everyone can do their best work Work with data scientists and ML engineers to bridge the gap between business needs and the technical capabilities of AI models Communicate strategy, initiatives, and progress transparently across the organisation Translate complex ...

rapid productisation, and clear business accountability. Applied AI Delivery Oversee the design and delivery of production AI systems – agentic workflows, LLM‐powered co‐pilots, ML inference pipelines, embedded into live front‐office operations. Ensure solutions integrate seamlessly with core systems and existing architectures. Drive the transition from proof‐of‐concept … scalable, enterprise‐grade deployment with measurable adoption and impact. Data & Platform Strategy Own the Applied AI platform strategy, including real‐time data pipelines, ML feature stores, model registries, and agentic runtime and control plane infrastructure. Partner with relevant teams and stakeholders to ensure a coherent, governed AI foundation. Governance, Risk ...

require a Data Science Consultant to join their Defence & National Security team. You will design, build, and deploy scalable data pipelines and AI/ML solutions that directly support vital national security projects. In order to be successful, you will have the following experience: Experienced in the Python data stack … ready data engineering pipelines Utilise AWS-based infrastructure and services to deploy and manage data workflows Evaluate and implement a variety of AI and ML solutions to solve complex client problems, integrating models smoothly into production systems Creative visualisation techniques to design impactful, intuitive data visuals and dashboards Adhere ...

Bachelor’s or higher) in Computer Science, Data Science, Engineering, Informatics, or a related field.* Strong hands-on experience building and deploying AI/ML/DL/NLP/LLM systems in production environments.* Proficiency in Python and modern AI frameworks and tools (e.g. PyTorch, Transformers, Scikit-learn, OpenAI … e.g. EHR platforms such as Epic or Cerner).* Experience building commercial software products in regulated environments.* Publications or research experience in AI/ML/DL/NLP/LLM or biomedical informatics.* Startup or scale-up experience.## Perks and Benefits* Flexible working hours.* Benefits include private medical insurance ...

machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences, including NeurIPS, ICML and ICLR, as well as specialist workshops, and collaborate with other research teams and organisations across the world. We pride ourselves … PyTorch or JAX. Familiarity with deep learning fundamentals, including model architectures, optimisation, evaluation and scaling. Ability to design, execute, analyse and clearly communicate ML experiments. Mathematical foundations to support the above, including calculus, probability theory and linear algebra. Evidence of research ability, such as conference or workshop submissions, publications ...

driven initiatives. This role will suit someone with a strong foundation in AWS data engineering and BI, alongside practical exposure to AI/ML concepts or tools. You must have strong hands-on experience in: AWS Data Engineering stack (e.g. Glue, S3, Lambda, Redshift, Athena) SQL (advanced level) Python … Terraform, APIs, CI/CD beneficial) Experience working in Business Intelligence/analytics environments Candidates must demonstrate some level of exposure to AI/ML, such as: Working with cloud-based AI services (e.g. AWS Bedrock or similar) Supporting AI-enabled data products or workflows Understanding of generative AI/ ...

platform and accelerate our transformation. The Opportunity You will work closely with our 46-strong engineering team, guiding and influencing how AI, ML, and LLM-based technologies are embedded into our product, processes, and pricing models. Your work will be project-driven, and highly visible — with the unique satisfaction … demonstrate: Either a track record of implementing and documenting CLI & MCP services and advanced AI workflows. or hands-on experience building and deploying ML or Deep Learning pricing/analytical models. You are familiar with Python, AWS and the use of obvious AI platforms such as GPT, Opus, Gemini ...

scalable, robust services in production environments, not just prototypes.* Hands-on experience working with Large Language Models (LLMs), Generative AI and modern AI/ML frameworks; current on the AI tooling landscape and able to keep up as it evolves.* Expertise in Python in AI/ML frameworks and libraries. … Demonstrated ability to understand and engage with a complex business domain — capable of sitting with non-technical professionals, learning how they work, and translating that understanding into production tools. Prior exposure to financial markets, broking, trading or other front-office environments is a strong plus.* Experience managing technical priorities ...

execution of a GPU‐accelerated cloud services platform designed to empower data scientists, developers, and enterprises to build, train, and deploy AI/ML models at scale — while supporting the growth of the P2P AI ecosystem. We’re looking for an experienced Technical Product Manager with a strong bias … action and measurable outcomes — someone who combines deep expertise in AI/ML technologies, cloud infrastructure, and product management with the drive to establish market leadership across strategic verticals. This is a great opportunity for an experienced product leader: strong product‐led growth mindset who wants to take their career ...

execution of a GPU‐accelerated cloud services platform designed to empower data scientists, developers, and enterprises to build, train, and deploy AI/ML models at scale — while supporting the growth of the P2P AI ecosystem. We’re looking for an experienced Technical Product Manager with a strong bias … action and measurable outcomes — someone who combines deep expertise in AI/ML technologies, cloud infrastructure, and product management with the drive to establish market leadership across strategic verticals. This is a great opportunity for an experienced product leader: strong product‐led growth mindset who wants to take their career ...

market operates. This is not a research role — we need someone who ships. What You Will Do Lead the design and delivery of complex ML and GenAI systems — robust, scalable, and built for production. Guide the team across the full AI lifecycle, from experimentation and evaluation through deployment and monitoring … cash flow waterfalls, ABS/CLO structures, and priority of payments. Strong software engineering skills (Python preferred) combined with deep knowledge of AI/ML frameworks, GenAI tooling, and modern data infrastructure. Hands‐on experience building and deploying ML/GenAI systems in production within finance, legal, or other high ...

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 ...