126 to 150 of 1,707 Machine Learning Jobs in the UK excluding London

approval by the CEO of QIMA Life Sciences. Build and manage the required data pipelines. Clean, structure, integrate and analyse complex biological datasets. Develop machine learning models and proof of concepts. Identify data gaps and recommend additional experiments where needed. Work with laboratory scientists to help define these … sufficient scientific validation, an interface usable internally, and complete documentation or detailed operator training. Qualifications You have: a PhD in data science, biostatistics, bioinformatics, machine learning or a related field; 8–10 years of experience in data science, biostatistics and machine learning; a proven track record ...

Automation theme covers all methods and technology that bring digitisation and optimisation of energy to scale using complex algorithms based on data science, machine learning, and the full spectrum of AI techniques (e.g. generative, agentic, etc). Specifically, the role entails: Leading and developing a team of research … domain such as Computer Science, Electrical Engineering, Control Systems, or a related field Experience across a spectrum of libraries, frameworks and services : such as ML libraries e.g. TensorFlow or PyTorch; model servers such as AWS Bedrock; MLOps such as ML Flow or Sagemaker; agent/AI orchestration such as LangGraph ...

heart of data science, research and public policy. Advanced Analytics is hiring a Senior Data Scientist to develop machine learning (ML) and Artificial Intelligence (AI) solutions, with a focus on robust prototyping. We have pioneered the application of new analytical approaches in the Bank of England, such … generative AI, machine learning, natural language processing, agent-based models, network analytics, and randomised control trials. We’re looking for someone with ML/AI expertise to help us continue pushing the organisation’s analytical frontier to inform policymaking. DAT is leading the transformation of the Bank ...

London | £40,000 - £60,000 This is an opportunity to join a growing data science team where you'll work on end-to-end machine learning solutions that directly influence lending decisions, risk management, and commercial performance. You'll collaborate with decision science, credit strategy, engineering, and product … teams, solving complex business challenges through advanced analytics and machine learning. THE COMPANY This fast-growing financial technology business leverages data, automation, and machine learning to deliver innovative funding solutions to businesses at scale. Operating in a highly analytical environment, they place data science at the heart ...

across the business. Working on a broad range of initiatives spanning customer experience, pricing, personalisation, and operational performance, you'll use advanced analytics and machine learning to solve real business problems and deliver measurable commercial value. You'll be working on business critical projects from day one, identifying … that improve model performance Apply statistical techniques, feature engineering, and model tuning to create robust and scalable analytical solutions Collaborate with Data Engineers and ML Engineers to operationalise models and embed them into customer journeys, business processes, and technology platforms Communicate findings, recommendations, and model outputs clearly to both technical ...

offices in Cambridge and London, you’ll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials. The Data Science team at Qureight turns imaging and clinical data into … clinical trials. We combine Qureight’s quantitative CT biomarkers with clinical data from sponsors, CROs and research cohorts, using statistical modelling, longitudinal analysis and machine learning. Our work helps biopharma sponsors choose endpoints that detect change earlier, build external control arms from real-world data, and design smaller ...

client is a global financial services and investment company. Vice President, AI/Machine Learning Data Engineer Our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system … following ways: Design and develop AI-powered solutions to solve complex enterprise data and analytics problems Translate ambiguous business problems into structured AI/ML approaches and algorithms Build scalable architectures for AI solutions, including model pipelines, data processing, and decision systems Collaborate with platform, data, and product teams ...

Data Analyst This is an opportunity to join a PE-backed business building its data and analytics capability. You'll work across data science, machine learning, and data modelling projects that support operational and commercial decision-making.They are investing in data, AI, and cloud technologies to improve processes … support growth. The analytics team works closely with stakeholders across the business to deliver reporting, forecasting, and machine learning solutions. The Role You will: Clean, transform, and prepare data from multiple sources Build and maintain data models within a cloud data platform Develop predictive models for workforce, occupancy ...

fixed-term post where funding is available for two years.The research project investigates how to develop fundamental theory and methods that enable machine learning systems to be deployed in a trustworthy manner. The project spans human-AI interaction, fairness, transparency, privacy and other approaches to optimising deployed … systems as human-machine teams. The postdoc will conduct research developing and evaluating methods at the frontier of trustworthy AI, validating them on real-world problems in partnership with domain experts and stakeholders, and publishing and presenting results at leading venues in machine learning (such as NeurIPS ...

utilities, and defence sectors turn complex data into actionable intelligence. This role offers excellent exposure to cutting-edge AI technologies, including Generative AI and machine learning, whilst building foundational skills in a supportive team environment. Core Responsibilities Assist in developing data science solutions, from data exploration to basic … model building. Support the implementation of AI applications under guidance from senior team members. Learn to work with Azure Machine Learning and Azure OpenAI services. Participate in data mapping, cleaning, and feature engineering activities. Contribute to documentation of analytical approaches and findings. Develop skills in Python programming ...

member of FSP's AI Engineering team, you will contribute to the delivery of solutions using Microsoft Azure AI services, Microsoft Foundry, OpenAI technologies, Machine Learning platforms and cloud-native development practices. This is an ideal role for graduates who are passionate about Artificial Intelligence and want … exposure across multiple AI disciplines. You will have the opportunity to rotate across a range of areas within our AI capability, including: AI Engineering Machine Learning Agentic AI & AI Agents Generative AI Solutions You may also gain exposure to: AI Advisory & Consulting AI Solution Architecture Data Science Data ...

organizations. Our big ambitions mean that life at GlobalData Healthcare is fast paced, entrepreneurial and rewarding. Working together in an intellectually challenging environment, where learning is super-charged to keep us on our toes, the highly stimulating, fast-paced, global environment we operate in, and our bold ambitions result … unique learning opportunities for our people. The role... GlobalData Healthcare is building an AI-enabled competitive intelligence platform for the pharmaceutical market. It supports our consulting teams in tracking competitor drugs, clinical trials, regulatory decisions and market news for pharma clients, combining GlobalData's data, continuous monitoring of external ...

London | £80,000-90,000 This is an opportunity to join a growing digital and analytics consulting team delivering high-impact machine learning and AI solutions for some of the UK's most complex operational challenges. You'll work closely with senior stakeholders, helping organisations move beyond proof … capability continues to expand, they are seeking experienced Data Scientists who can combine technical expertise with strong stakeholder engagement. The Role Design and deliver machine learning, advanced analytics, and AI solutions for a wide range of client challenges Build production-ready data science solutions that create measurable operational ...

hands-on technical leadership role combining AI engineering, solution architecture, project delivery and people management. You will lead multidisciplinary teams to take AI and machine learning solutions from concept through to production, ensuring they are scalable, secure, reliable and deliver measurable value. Your initial work will focus … stakeholders while guiding teams across software engineering, data engineering and cloud/platform engineering. Key Responsibilities Lead multidisciplinary teams delivering production-grade AI and machine learning solutions. Own technical direction, architecture and engineering standards across AI projects. Design and deliver solutions involving generative AI, large language models (LLMs ...

join their growing engineering team. Their platform helps healthcare organisations, researchers and epidemiologists turn complex datasets into meaningful real-world insights. With AI, machine learning and advanced analytics becoming an increasingly important part of the product roadmap, it's an exciting time to join the business. The Role … joining a highly collaborative team of engineers, data scientists and machine learning specialists, helping to develop and scale a platform that processes large volumes of healthcare data and supports critical decision-making across the sector. This is a hands-on engineering role where you'll have the opportunity ...

centralized global team responsible for all aspects of workforce data strategy, analytics and reporting, and governance, and includes the development of AI and machine learning based solutions. We have a vision to help make individuals, teams, and businesses at our client among the most engaged and productive … people who carry it out. Job responsibilities Act as the hands-on leader of a team that delivers commercial outcomes using AI and machine learning solutions across our people-focused product areas Direct the full research lifecycle, from framing problems and generating hypotheses through experiments, prototypes, and results ...

brighter experiences for our guests and our teams. As a Data Scientist, you’ll play a key role in turning data into insight—building machine learning models and analytical solutions that help us make better, more informed decisions across the business. You’ll work across the full data … insights—bringing curiosity, collaboration and clarity to everything you do. What you’ll be doing: Owning the end-to-end development and deployment of machine learning models and analytical solutions , from data exploration through to production. Making day-to-day technical decisions on feature engineering, model selection, analytical ...

brighter experiences for our guests and our teams. As a Data Scientist, you’ll play a key role in turning data into insight—building machine learning models and analytical solutions that help us make better, more informed decisions across the business. You’ll work across the full data … insights—bringing curiosity, collaboration and clarity to everything you do.**What you’ll be doing:**- **Owning the end-to-end development and deployment of machine learning models and analytical solutions**, from data exploration through to production.- **Making day-to-day technical decisions** on feature engineering, model selection, analytical ...

monitoring - and trusted to do so with minimal oversight. It's not solo delivery: you'll be working closely with a dynamic team spanning ML, MLOps and software engineering, and should be happy to contribute at every level, from early-stage research through to production support. Role & Core Responsibilities … delivery of medium-sized ML features end-to-end within Personalize - problem framing, data preparation, model build/train, evaluation, deployment and monitoring - to predictable timelines. Develop predictive ML models for classification, ranking and personalisation, working with our text data. Leverage LLMs and other state-of-the-art techniques ...

modelling within a highly data-driven environment where analytics is central to commercial success. THE COMPANY This growing financial technology business uses advanced analytics, machine learning, and automated decisioning to deliver funding solutions at scale. Operating across multiple markets, they have built a strong reputation for innovation … data-led decision making. THE ROLE * Build and deploy credit risk models from scratch, including scorecards, probability of default models, and forecasting models.* Apply machine learning techniques to improve underwriting and risk assessment processes.* Analyse large and complex datasets to identify trends, opportunities, and risks.* Develop predictive models ...

dedicated Claims Analytics capability. This is an opportunity to apply your technical expertise to real-world insurance challenges, using data, statistical analysis and machine learning to improve claims performance, operational efficiency and business decision-making. Working closely with senior Claims stakeholders and wider Data and Technology teams … where you will have the opportunity to shape how data science is used across the claims function. The Role Develop and deliver statistical and machine learning models to address key business challenges within Claims. Analyse complex datasets, identifying trends, patterns and opportunities to improve claims performance and outcomes. ...

This fintech organisation has a strong track record of growth, profitability and innovation. They have built a highly data-driven lending platform powered by machine learning and automated credit decisioning. This role offers the opportunity to influence model governance and validation standards within a business where analytical insights … independently reviewing and challenging credit risk and decisioning models across the lending lifecycle. Key responsibilities include: Leading end-to-end validation of credit risk, machine learning and decisioning models Assessing model methodology, assumptions, data quality, feature engineering and target definitions Evaluating model performance, calibration, stability and robustness across ...

Associate or Fellow to join the Department of Engineering at the Penryn Campus, Cornwall to assist in the development of a novel, observation-based machine learning ocean forecasting system, delivered in close collaboration with the UK Met Office and Oshen, a developer of autonomous ships for ocean measurements. … framework using data from mobile autonomous platforms. The post will include designing and implementing uncertainty propagation techniques in Python within a 3D machine learning forecasting pipeline, developing adaptive spatial sampling algorithms, and leading the staged verification of the framework using synthetic ocean data, MEOP-CTD datasets, and autonomous ...

data analytics, experiments, engaging with stakeholders the findings and subsequently developing code for production. This will involve working with other data scientists or ML Engineers and business stakeholders. This role requires good cross disciplinary skills across databases, analytics, statistics, and modelling. The person should be able to work independently … DevOps environment, often collaborating with stakeholders from other technical teams as well as business teams. Good communication skills with an ability to demystify ML algorithms and capabilities is a must, as stakeholders in ML products include software engineering teams as well as non‐technical business partners. Major Job Responsibilities ...

global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity. The Role: We’re looking for a Senior Lead ML Engineer with a proven track record of delivering successful, production‐scale machine learning solutions (ideally on AWS SageMaker). You will provide technical … leadership across ML lifecycle, including defining architecture, engineering standards, MLOps practices, and governance frameworks for a large‐scale matching platform. This is a hands‐on lead role requiring recent expertise in building, deploying, monitoring, and operating ML systems in production. Essential Experience Demonstrable success designing and delivering enterprise‐scale ML ...