576 to 600 of 1,940 Machine Learning Jobs in the UK excluding London

make personalised treatments faster, more effective, and more accessible - and this role is key to that vision. The team is building cutting-edge data infrastructure to power scientific and ML applications, and they're seeking a Data Engineer with strong experience developing scalable, high-quality data pipelines in the cloud. The Role You'll join a team of data scientists … bioinformaticians, and engineers working at the intersection of healthcare and AI. Your focus will be on designing and maintaining the data pipelines that feed large-scale ML and research workflows. Day-to-day responsibilities include: Building and maintaining data pipelines using Python, SQL, Spark, and Google Cloud technologies (BigQuery, Cloud Storage). Ensuring pipelines are robust, reliable, and optimised for … AI/ML use cases. Developing automated tests, documentation, and monitoring for production-grade data systems. Collaborating with scientists and ML engineers to meet evolving data needs. Participating in code reviews, introducing best practices, and continuously improving performance and quality. Tech Stack & Skills Core Skills: Strong experience with Python and SQL in production environments Proven track record developing data pipelines More ❯

and AI-driven research workflows . You will play a critical role in bridging the gap between data science, bioinformatics, and engineering — ensuring seamless, secure, and reproducible deployment of ML models in production and research environments. You’ll collaborate closely with AI Scientists, Data Engineers, and DevSecOps teams , building automation pipelines that accelerate model development and deployment across distributed, cloud … AI workloads and data processing. Build and maintain feature stores, model registries, and versioning systems to ensure traceability and reproducibility. Implement data ingestion and pre-processing pipelines to support ML and bioinformatics workloads. Collaborate with security and DevSecOps teams to enforce best practices in access control, compliance, and governance . Support AI/ML researchers in model experimentation and infrastructure … optimization. Monitor model and system performance, implement drift detection, and refine automated retraining pipelines. Contribute to the development of a modular, reusable ML platform architecture supporting multi-modal data (genomic, clinical, imaging, etc.). Essential Skills and Experience Proven experience as an MLOps Engineer, Platform Engineer, or DevOps Engineer supporting ML or data science teams. Strong hands-on experience with More ❯

and AI-driven research workflows . You will play a critical role in bridging the gap between data science, bioinformatics, and engineering — ensuring seamless, secure, and reproducible deployment of ML models in production and research environments. You’ll collaborate closely with AI Scientists, Data Engineers, and DevSecOps teams , building automation pipelines that accelerate model development and deployment across distributed, cloud … AI workloads and data processing. Build and maintain feature stores, model registries, and versioning systems to ensure traceability and reproducibility. Implement data ingestion and pre-processing pipelines to support ML and bioinformatics workloads. Collaborate with security and DevSecOps teams to enforce best practices in access control, compliance, and governance . Support AI/ML researchers in model experimentation and infrastructure … optimization. Monitor model and system performance, implement drift detection, and refine automated retraining pipelines. Contribute to the development of a modular, reusable ML platform architecture supporting multi-modal data (genomic, clinical, imaging, etc.). Essential Skills and Experience Proven experience as an MLOps Engineer, Platform Engineer, or DevOps Engineer supporting ML or data science teams. Strong hands-on experience with More ❯

AI engineers, and product teams to deliver end-to-end AI applications. Oversee model monitoring and retraining to maintain reliability and mitigate bias. Support the design and architecture of ML and GenAI platforms for large-scale deployment. Stay current with emerging AI technologies and Google's evolving ecosystem to drive continuous innovation. Produce technical documentation and provide guidance to key … stakeholders. Skills & Experience: 5+ years in Data Science or Machine Learning Engineering, with a focus on Generative AI. Proven experience building ML or GenAI platforms end-to-end. Hands-on expertise with Google Gemini and associated GCP AI/ML tools. Strong programming ability in Python, with frameworks such as TensorFlow and PyTorch. Experience migrating models from Dataiku … monitoring, data drift, and concept drift. Understanding of AI bias mitigation, governance, and responsible AI practices. Background in Financial Services or Insurance is advantageous. Desirable: Google Cloud AI/ML certifications. Experience working with multi-modal AI models (text, image, audio). Awareness of AI ethics, governance frameworks, and secure deployment standards. Robert Walters Operations Limited is an employment business More ❯

C++). •Develop clean, responsive front-end interfaces using frameworks like Vue.js or React, to present complex datasets and user workflows. •Collaborate with data scientists and engineers to integrate ML models, ETL pipelines, and cloud-based data storage solutions. •Optimise system performance and reliability for high-volume data operations across distributed environments. •Implement secure, compliant and scalable data access layers … Power BI •Familiarity with visualisation libraries like D3.js, Chart.js or Plotly for building interactive dashboards. •Exposure to DevOps practices including CI/CD and infrastructure as code •Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. •Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). •Knowledge of More ❯

C++). •Develop clean, responsive front-end interfaces using frameworks like Vue.js or React, to present complex datasets and user workflows. •Collaborate with data scientists and engineers to integrate ML models, ETL pipelines, and cloud-based data storage solutions. •Optimise system performance and reliability for high-volume data operations across distributed environments. •Implement secure, compliant and scalable data access layers … Power BI •Familiarity with visualisation libraries like D3.js, Chart.js or Plotly for building interactive dashboards. •Exposure to DevOps practices including CI/CD and infrastructure as code •Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. •Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). •Knowledge of More ❯

C++). •Develop clean, responsive front-end interfaces using frameworks like Vue.js or React, to present complex datasets and user workflows. •Collaborate with data scientists and engineers to integrate ML models, ETL pipelines, and cloud-based data storage solutions. •Optimise system performance and reliability for high-volume data operations across distributed environments. •Implement secure, compliant and scalable data access layers … Power BI •Familiarity with visualisation libraries like D3.js, Chart.js or Plotly for building interactive dashboards. •Exposure to DevOps practices including CI/CD and infrastructure as code •Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. •Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). •Knowledge of More ❯

C++). •Develop clean, responsive front-end interfaces using frameworks like Vue.js or React, to present complex datasets and user workflows. •Collaborate with data scientists and engineers to integrate ML models, ETL pipelines, and cloud-based data storage solutions. •Optimise system performance and reliability for high-volume data operations across distributed environments. •Implement secure, compliant and scalable data access layers … Power BI •Familiarity with visualisation libraries like D3.js, Chart.js or Plotly for building interactive dashboards. •Exposure to DevOps practices including CI/CD and infrastructure as code •Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. •Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). •Knowledge of More ❯

to data strategies, roadmaps, and vision for data enablement. Contribute to the development of best practices, toolkits, and reusable components. Mentor junior team members and support a culture of learning and innovation. Stay current with emerging technologies and methodologies. Work within agile delivery frameworks, contributing to planning, retrospectives, and sprint goals. Collaborate with cross-functional teams, including Product Managers … be able to work within a secure environment. Desirable Skills & Experience: Experience working on high-volume or high-performance data systems Exposure to real-time data processing, IoT, or machine learning pipelines. Knowledge of modern data mesh or data fabric principles. Experience with containerisation and orchestration (Docker, Kubernetes). Familiarity with infrastructure as code (Terraform, ARM templates, CloudFormation More ❯

to data strategies, roadmaps, and vision for data enablement. Contribute to the development of best practices, toolkits, and reusable components. Mentor junior team members and support a culture of learning and innovation. Stay current with emerging technologies and methodologies. Work within agile delivery frameworks, contributing to planning, retrospectives, and sprint goals. Collaborate with cross-functional teams, including Product Managers … be able to work within a secure environment. Desirable Skills & Experience: Experience working on high-volume or high-performance data systems Exposure to real-time data processing, IoT, or machine learning pipelines. Knowledge of modern data mesh or data fabric principles. Experience with containerisation and orchestration (Docker, Kubernetes). Familiarity with infrastructure as code (Terraform, ARM templates, CloudFormation More ❯

to data strategies, roadmaps, and vision for data enablement. Contribute to the development of best practices, toolkits, and reusable components. Mentor junior team members and support a culture of learning and innovation. Stay current with emerging technologies and methodologies. Work within agile delivery frameworks, contributing to planning, retrospectives, and sprint goals. Collaborate with cross-functional teams, including Product Managers … be able to work within a secure environment. Desirable Skills & Experience: Experience working on high-volume or high-performance data systems Exposure to real-time data processing, IoT, or machine learning pipelines. Knowledge of modern data mesh or data fabric principles. Experience with containerisation and orchestration (Docker, Kubernetes). Familiarity with infrastructure as code (Terraform, ARM templates, CloudFormation More ❯

Studio . Strong understanding of cloud-based environments (Azure, Snowflake, or Databricks). Excellent stakeholder engagement skills and the ability to communicate complex concepts clearly. Automation | AI | Data Analytics | Machine Learning | Power BI | Power Automate | Copilot Studio | Microsoft Power Platform | Data Architecture | Data Engineering | Azure | Snowflake | Databricks | SQL | Process Automation | Predictive Analytics | Cloud Solutions | Digital Transformation | Industrial Automation More ❯

to partner with an advanced, data-driven organisation — a business that’s not just talking about AI, but actively building intelligent systems powered by Azure, Databricks, and real-world machine learning applications. This is a hands-on engineering role where you’ll be at the core of designing, developing, and optimising modern data platforms that enable predictive analytics More ❯

and batch data ingestion workflows, ideally using Apache Kafka Collaborating with data scientists, analysts, and business stakeholders to build high-quality data products Supporting the deployment and productionisation of machine learning pipelines Contributing to the ongoing development of a Lakehouse architecture Working in an Agile/DevOps environment to continuously improve platform performance and reliability Essential Skills and More ❯

be able to offer this Site Reliability Engineer role working for an industry-leading software company in Cambridge. This company has won several awards and is pioneering in their machine learning technology. Founded 8 years ago, with a team of 150 brilliant engineers, they are already renowned as having game-changing technology within their industry, with exciting scope More ❯

and Waterfall environments Expert level SQL skills, extracting and transforming data with speed and accuracy Strong programming experience (preferably Python or R), with experience of building, testing and deploying machine learning models Skilled in creating impactful data visualisations and dashboards Working knowledge of cloud platforms such as GCP or AWS, with Google preferred 15% discount in store from More ❯

value through advanced analytics, statistical modelling, and data storytelling. In a dynamic and collaborative environment, you'll support data-driven decisions across the business. We're committed to continuous learning and development, so you'll have plenty of opportunities to grow your technical and leadership skills while making a real difference. What You'll Do As a Data Scientist … a related analytical field is desirable Experience applying statistical techniques and modelling in a commercial setting (such as regression analysis, time series forecasting and hypothesis testing). Exposure to machine learning methods, including supervised and unsupervised learning, and model evaluation Experience in SQL and Python for advance analytics and modelling (experience with Snowflake, R, GitHub, and Jira More ❯

improve patient outcomes worldwide - and they're seeking a Backend Software Engineer to help bring that mission to life. The Role You'll be joining a multidisciplinary AI/ML team responsible for developing the infrastructure and software that powers cutting-edge research and intelligent applications. The role focuses on backend development in Python, integrating AI components with data, compute … frontend systems to create scalable, high-performance solutions. Day-to-day responsibilities include: Designing and implementing backend services for Python-based web applications (e.g., FastAPI). Integrating AI and ML components into production systems and APIs. Writing high-quality, well-tested, and well-documented code following best practices. Developing and monitoring metrics to improve system reliability and performance. Collaborating closely … with frontend engineers, data engineers, and ML specialists to build end-to-end pipelines. Participating in agile ceremonies and code reviews to uphold quality and delivery standards. Tech Stack & Skills Core skills: Strong Python backend development experience (FastAPI or similar frameworks) Cloud-native deployment experience (preferably Google Cloud and Cloud Run) Unit testing experience (pytest or similar frameworks) Familiarity with More ❯

improve patient outcomes worldwide - and they're seeking a Backend Software Engineer to help bring that mission to life. The Role You'll be joining a multidisciplinary AI/ML team responsible for developing the infrastructure and software that powers cutting-edge research and intelligent applications. The role focuses on backend development in Python , integrating AI components with data, compute … frontend systems to create scalable, high-performance solutions. Day-to-day responsibilities include: Designing and implementing backend services for Python-based web applications (e.g., FastAPI). Integrating AI and ML components into production systems and APIs. Writing high-quality, well-tested, and well-documented code following best practices. Developing and monitoring metrics to improve system reliability and performance. Collaborating closely … with frontend engineers, data engineers, and ML specialists to build end-to-end pipelines. Participating in agile ceremonies and code reviews to uphold quality and delivery standards. Tech Stack & Skills Core skills: Strong Python backend development experience (FastAPI or similar frameworks) Cloud-native deployment experience (preferably Google Cloud and Cloud Run) Unit testing experience (pytest or similar frameworks) Familiarity with More ❯

tech stack. THE ROLE As a Contract Python Backend Engineer , you'll take ownership of backend development for a Python-based web application, ensuring smooth integration with AI/ML pipelines and data infrastructure. You'll work closely with data engineers, AI specialists, and frontend developers to deliver robust, production-quality software. Key Responsibilities: Build and maintain Python web applications … FastAPI preferred) Integrate AI/ML components with backend, data, and compute infrastructure Deliver clean, well-documented code following best practices Implement automated testing frameworks and CI/CD workflows Monitor and improve performance metrics across deployed tools Collaborate with technical teams to develop end-to-end data pipelines YOUR SKILLS AND EXPERIENCE Essential: Proven Python backend development experience (FastAPI … a computational, numerate, or life sciences discipline (or equivalent experience) Preferred: Docker and containerized application experience Experience in scientific or pharmaceutical domains (e.g. genomics, proteomics) Familiarity with AI/ML-powered applications and agent-based frameworks (LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and iterative model improvement Exposure to frontend technologies (React desirable) THE BENEFITS Competitive day rate More ❯

tech stack. THE ROLE As a Contract Python Backend Engineer , you'll take ownership of backend development for a Python-based web application, ensuring smooth integration with AI/ML pipelines and data infrastructure. You'll work closely with data engineers, AI specialists, and frontend developers to deliver robust, production-quality software. Key Responsibilities: Build and maintain Python web applications … FastAPI preferred) Integrate AI/ML components with backend, data, and compute infrastructure Deliver clean, well-documented code following best practices Implement automated testing frameworks and CI/CD workflows Monitor and improve performance metrics across deployed tools Collaborate with technical teams to develop end-to-end data pipelines YOUR SKILLS AND EXPERIENCE Essential: Proven Python backend development experience (FastAPI … a computational, numerate, or life sciences discipline (or equivalent experience) Preferred: Docker and containerized application experience Experience in scientific or pharmaceutical domains (e.g. genomics, proteomics) Familiarity with AI/ML-powered applications and agent-based frameworks (LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and iterative model improvement Exposure to frontend technologies (React desirable) THE BENEFITS Competitive day rate More ❯

I am working with a consultancy feeding into the public sector, looking for multiple ML Engineers.Inside IR35£400 - £500 per day (depending on experience level)Remote (occasional London travel) Proven experience building and deploying machine learning models in a production environment. Strong programming skills and deep expertise in Python. Hands-on experience building with agentic or RAG (Retrieval … Bedrock, Google Vertex AI, Azure AI Services). Experience with a major conversational AI platform (Google Dialogflow, Amazon Lex, Rasa, or similar). A solid understanding of core Python ML libraries (Keras, scikit-learn, Pandas) and deep learning frameworks (TensorFlow, PyTorch). Desirable (but not essential) experience: Working with tools/interfaces for AI applications e.g. MCP protocol. Training … traditional ML and DL models using tools like Axolotl, LoRA, or QLoRA. Experience with multi-agent orchestration frameworks (LangGraph, AutoGen, CrewAI) Experience with observability and evaluation tools for LLMs such as TruLens or Helicone. Experience with AI safety and reliability frameworks like Guardrails AI. More ❯

data science models to answer strategic business questions and turn data into actionable insights for the organisation. You will be responsible for developing advanced analytics products using Microsoft Azure ML Studio, Python, and Power BI. You will be involved in business conversations to understand requirements, analyse datasets, estimate and productionise machine learning models, and communicate insights to the … ensure successful outcomes across team members and collaborating teams * Understand strategic business initiatives and analytical questions to answer. * Design, develop, test, and deploy data science workflows using Microsoft Azure ML Studio with a Python data science stack. * Ensure high-quality delivery of accurate data science models, and review that proposed solutions meet security, compliance, and governance requirements. * Monitor model performance … and storytelling techniques to share analytic conclusions and their strategic impact. * Collaborate closely with other teams to manage interdependencies, risks and resourcing to support portfolio delivery. * Develop AI/ML proof-of-concepts and assist the business with evaluations to measure success and estimate value proposition. Essential Criteria: * Extensive experience with Python and data science Python packages (e.g. scikit-learn More ❯

Product Manager Platform Intelligence, AI/ML As Product Manager for the Platform Intelligence team at Accelerant, you will define and lead the AI/ML product strategy across the Accelerant Risk Exchange platform. Youll work closely with Design, Engineering, and Decision Science to build tools that help participants across our platform make more informed decisions about selecting, pricing, and … and product thinking - and plays a critical part in enabling Accelerant to be a product-led organization. What You'll Do Strategy & Discovery Define and evolve the AI/ML strategy for our Risk Exchange platform in alignment with company objectives. Identify new ways to apply statistical and machine learning models to support risk selection, pricing, aggregation monitoring … quality, and support better decision-making. Youll Be Successful If You Have Required : At least 5 years experience as a Product Manager delivering commercial products that leverage AI/ML or advanced analytics. Background in data-rich product domains, with comfort in translating technical output into user-facing tools. Familiarity with P&C specialty insurance, especially underwriting or portfolio management. More ❯

build tracking frameworks across teams. Partner with product, engineering, AI and data science teams to accelerate development. Work with architects to design data products, test new tools, and support ML/AI workflows. Ensure data quality, integrity and consistency across multiple sources. Thrive in a fast-paced trading environment where insight shapes strategy. Qualifications What we’d love you to … bring: Passion for using data to tell stories, make insight actionable, and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing More ❯