326 to 350 of 4,239 Machine Learning Jobs in the UK excluding London

Silicon Logic UK Ltd. Hybrid Mode: Min. 3 days from client location Job Description: Purpose of the role: We are seeking a highly motivated and experienced Senior AI/ML Developer to join our team at the forefront of designing cutting-edge solutions in the Telco industry. In this role, you will be responsible for the end-to-end design … development, and deployment of AI/ML models. You will collaborate with stakeholders to understand business and technical requirements and translate them into scalable AI/ML solutions. KEY RESPONSIBILITIES: In this role, you will be responsible for: Designing, developing, and deploying AI/ML models and solutions, including LLMs and GenAI. Performing feature engineering and selection to optimize model … performance. Selecting and implementing appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models. Training, evaluating, and optimizing models using machine learning and statistical techniques. Conducting extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications. Deploying models to production environments, ensuring robustness and scalability. Monitoring model performance and defining More ❯

a Senior MLOps Engineer, you will play a crucial role in enabling applied AI. Your main focus will be on designing, building, and maintaining a secure, scalable, and efficient ML Platform with a platform-as-a-product mindset. This platform automates the end-to-end lifecycle for traditional ML models and LLM models, as part of the Cloud Platforms Engineering … systems. Develop tools to improve visibility into system operation and facilitate troubleshooting and debugging. Foster a culture of continuous improvement by incorporating feedback and lessons learned into future ML deployments. Lead initiatives to increase the resilience and scalability of ML systems. What you need: Bachelor’s degree in computer science, engineering, statistics, or a related field. At least … focused on MLOps or similar roles. Proven track record in designing and deploying scalable machine learning systems in production. Strong programming skills in Python and experience with ML frameworks and tools (e.g., TensorFlow, PyTorch, MLFlow, Kubeflow, Jupyter, Azure ML Studio, Amazon Sagemaker, Apache Spark, Apache Flink). Expertise in containerization (e.g., Docker, Kubernetes) and automation (e.g., Jenkins, GitLab More ❯

a team of AI and machine learning researchers/engineers, providing technical direction and fostering a culture of creativity and rigour Design and implement novel AI/ML models and algorithms, balancing exploratory research with robust, scalable solutions Collaborate closely with interdisciplinary teams of biologists, bioinformaticians, and engineers to translate research objectives into applied outcomes Oversee multiple concurrent … A postgraduate degree (PhD or MSc) in Computer Science, Machine Learning, Computational Biology or a related field At least 5 years of industry experience in AI/ML research or engineering, with a minimum of 4 years in a technical leadership role or 3 years in people management A strong publication record or equivalent practical expertise in areas … such as generative AI, deep learning, or computational biology Proven experience applying AI techniques to biological challenges, particularly in areas like protein design or genomics Demonstrated success in leading high-impact AI projects and delivering real-world solutions Exceptional communication skills, capable of engaging with both technical and non-technical stakeholders Experience training large generative models, including distributed training More ❯

the best scientific approach to the problem, working on critical projects. You will collaborate with others in your team on the best solution, have a particular focus on developing ML solutions for production, and will work on all stages of the ML lifecycle. Our Data Scientists are currently focused on several important projects. They’re creating personalised recommendations to engage … These Are Some Technologies That Our Data Scientists Use (we Don’t Expect You To Have Experience With All Of These) Python and Databricks Spark, MLFlow, and Airflow for ML Workflows Google Cloud Platform for our analytics infrastructure dbt and BigQuery for data modelling and warehousing Some examples of our data science work can be found in our engineering blog … What We’re Looking For Experience delivering data-science solutions in a commercial or research (e.g. PhD) environment A strong understanding of Data Science techniques, including ML algorithms and statistical methods Proficient in building ML pipelines with Python An enthusiasm for engaging with non-technical stakeholders and establishing scientific rigour in teams Experience collaborating on Data Science projects and working More ❯

West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a … opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with … for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/Deep Learning More ❯

format of this document, please get in touch with at [emailprotected] or call TCS London Office number 02031552100 with the subject line: “Application Support Request”. Role: AI/ML and Data Science Developer Job Type: Permanent Number of hours: 40 hours per week – full time Are you looking for an exciting opportunity as an AI/ML? Are you … passionate about Data Science? We have an exciting role for you - AI/ML and Data Science Developer Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our … stakeholders. Gain access to endless learning opportunities. Work closely with the range of teams within the business to bring products to life. The Role As a AI/ML and Data Science Developer , you are required to Design, develop, and deploy AI/ML models and solutions, including LLMs and GenAI. You will also be responsible for the end More ❯

Job ID: 2916032 | AWS EMEA SARL (UK Branch) - F93 Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting-edge Generative AI algorithms to solve real-world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business … capable of using GenAI and other techniques to design, evangelize, and implement and scale cutting-edge solutions for never-before-solved problems. Key job responsibilities Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges. Interact with customers directly to understand … scientist experience and 3+ years of data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab, etc.) experience. 3+ years of machine learning/statistical modeling data analysis tools and techniques experience. Experience applying theoretical models in an applied environment. Bachelor's degree in a quantitative field such as statistics More ❯

implementing generative AI solutions to support cutting-edge research initiatives, including drug discovery, personalized medicine, bioinformatics, and clinical research. The ideal candidate will have deep expertise in AI/ML, particularly in generative models, and a strong understanding of life sciences applications to accelerate research outcomes and drive scientific breakthroughs. You will use your experience in these technologies to provide … bachelor’s degree or master’s degree in Computer Science, Data Science or related field. 5+ years of experience in machine learning or AI architecture roles, across ML/NLP/LLM systems 3+ years as an architect or technical lead with systems-level experience Proven track record of delivering AI solutions for complex scientific problems Experience with … scikit-learn, spaCY), and data processing techniques. Demonstrated experience in developing and deploying machine learning models in production environments. Experience with AI Cloud Platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) for scalable deployment of AI models. Strong time-management skills; able to complete projects in a timely manner, plan and prioritize tasks while keeping leadership and More ❯

the best scientific approach to the problem, working on critical projects. You will collaborate with others in your team on the best solution, have a particular focus on developing ML solutions for production, and will work on all stages of the ML lifecycle. Our Data Scientists are currently focused on several important projects. They're creating personalised recommendations to engage … These Are Some Technologies That Our Data Scientists Use (we Don't Expect You To Have Experience With All Of These) Python and Databricks Spark, MLFlow, and Airflow for ML Workflows Google Cloud Platform for our analytics infrastructure dbt and BigQuery for data modelling and warehousing Some examples of our data science work can be found in our engineering blog … Package Uplift Model What We're Looking For Experience delivering data-science solutions in a commercial or research (e.g. PhD) environment A strong understanding of Data Science techniques, including ML algorithms and statistical methods Proficient in building ML pipelines with Python An enthusiasm for engaging with non-technical stakeholders and establishing scientific rigour in teams Experience collaborating on Data Science More ❯

this job and more exclusive features. Join Admiral's quest for innovation as we seek a curious mind eager to make waves with advanced analytics. With a passion for machine learning and a drive to stay ahead of the curve, you'll be instrumental in shaping the future as the industry evolves. Data and technology are at the … learning for our Claims Departments in Motor and Household, helps provide essential assistance to our customers in their time of need. Admiral is committed to leveraging Data & ML for the greater good, enhancing both customer and employee experiences. Our progressive ethos, core principles, and dedication to diversity and inclusion cultivate an idea-rich atmosphere where innovation thrives, and … Knowledge of LLM’s. Use of software development tools and version control systems such as GIT and knowledge Dev Ops practices. Experience of thinking about the wider impact of ML models and techniques on the customer and what considerations to put in place. Passionate about making a positive difference in the workplace and beyond, with a knack for understanding the More ❯

role will be a key differentiator of a successful candidate. Glass ceiling smashers especially welcome. We are looking for a Director of AI Engineering to lead our AI and ML development. The role is a technical expert driving hands-on development from prototyping to production ready systems. The role will focus on the design of complex AI agents, communication architectures … to deployment. Fine tune LLM. Mentor and develop the technical capabilities of the AI team, fostering a culture of innovation and continuous learning, led by example with best ML and software engineering practice. Lead a portfolio of high-impact AI projects. Drive technical and project-level architecture decisions, guiding multi-functional teams through stages of the AI lifecycle. Deliver … that have driven significant business impact. Extensive prior experience exploring and testing large language model behaviour, prompting and building products with language models. Expert knowledge of Python and advanced ML/LLM frameworks (e.g., TensorFlow, PyTorch, LangChain, LlamaIndex, etc). Deep understanding of agentic AI concepts and frameworks (e.g., agentic design patterns, multi-agent systems, reinforcement learning) and their More ❯

enabling colleagues across Rentokil Initial to get value from data To build AI models and a data science platform that enables Rentokil to derive huge value from AI, through machine learning to gen AI and beyond Key tasks: AI Data Engineering: Design, build, operate, and deploy real-time data pipelines at scale using AI techniques and best practices. … applications. Hands-on experience with natural language processing (NLP) techniques and developing custom solutions using large language models (LLMs) for business use cases. Proficient in Python-based AI/ML development using frameworks like TensorFlow, PyTorch, and Scikit-learn. LLM Orchestration and Development Expertise in building LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering, fine … Pipelines. Cloud Computing (Google Cloud Platform - GCP Preferred) Hands-on experience with GCP services such as Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS) for AI/ML applications. Skilled in containerization (Docker) and orchestration (Kubernetes, GKE), with a solid understanding of cloud security best practices. Benefits: Competitive salary and bonus scheme Hybrid working Rentokil Initial Reward Scheme More ❯

enabling colleagues across Rentokil Initial to get value from data To build AI models and a data science platform that enables Rentokil to derive huge value from AI, through machine learning to gen AI and beyond Key tasks: AI Data Engineering: Design, build, operate, and deploy real-time data pipelines at scale using AI techniques and best practices. … applications. Hands-on experience with natural language processing (NLP) techniques and developing custom solutions using large language models (LLMs) for business use cases. Proficient in Python-based AI/ML development using frameworks like TensorFlow, PyTorch, and Scikit-learn. LLM Orchestration and Development Expertise in building LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering, fine … Pipelines. Cloud Computing (Google Cloud Platform - GCP Preferred) Hands-on experience with GCP services such as Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS) for AI/ML applications. Skilled in containerization (Docker) and orchestration (Kubernetes, GKE), with a solid understanding of cloud security best practices. Benefits: Competitive salary and bonus scheme Hybrid working Rentokil Initial Reward Scheme More ❯

formed to act as a central hub with a firm-wide remit to solve strategic business challenges for the firm by bringing to bear our expertise in data science, machine learning, generative AI, optimization, stochastic control and statistics. Our mission is to combine human and machine intelligence to revolutionize asset management. The team is led by Dr. … to drive towards commercial impact in the form of alpha generation, operational efficiencies, and cost reduction. Building on the success of systematic investment teams with a history of demonstrating machine learning at BlackRock to create alpha, the goal is to apply these same techniques throughout the business. The team has grown to 30+ data scientists and data engineers. … statistics, or other aspects of the data science process. • Strong familiarity with programming in Python. • Strong theoretical background in and practical experience using optimization, statistical techniques, and AI/ML, preferably shown through academic publications or open-source code. • Ability to work within a team environment, and to collaborate and communicate across cross-functional groups including business and technology experts. More ❯

and modelling roadmap. Assist in acquiring vendor data and develop arguments. Provide expert mentorship for ongoing and new pricing activities. Design experiments and multivariate testing for AI evaluation. Assess machine learning solutions for feasibility and operationalize successful prototypes with Data Engineers. Use statistical techniques to optimise business performance. Develop and maintain algorithms to improve customer value and services. … ad-hoc analysis to predict, measure, and interpret business trends. Mentor data scientists and champion standard processes within the analytics community. Collaborate with DevOps and Data Engineers to deploy ML Models Set standards for R&D practices and lead meetings with partners. Refactor code into reusable libraries, APIs, and tools Help us to craft the next generation of our products … software practices (SCRUM/Agile, microservices, containerization like Docker/Kubernetes). we'd also encourage you to apply if you possess: Experience with Spark/Databricks. Experience deploying ML models via APIs (e.g., Flask, Keras). Startup experience or familiarity with geospatial and financial data. The Interview Process (subject to change): You’ll start with an introductory call with More ❯

and modelling roadmap. Assist in acquiring vendor data and develop arguments. Provide expert mentorship for ongoing and new pricing activities. Design experiments and multivariate testing for AI evaluation. Assess machine learning solutions for feasibility and operationalize successful prototypes with Data Engineers. Use statistical techniques to optimise business performance. Develop and maintain algorithms to improve customer value and services. … ad-hoc analysis to predict, measure, and interpret business trends. Mentor data scientists and champion standard processes within the analytics community. Collaborate with DevOps and Data Engineers to deploy ML Models Set standards for R&D practices and lead meetings with partners. Refactor code into reusable libraries, APIs, and tools Help us to craft the next generation of our products … software practices (SCRUM/Agile, microservices, containerization like Docker/Kubernetes). we'd also encourage you to apply if you possess: Experience with Spark/Databricks. Experience deploying ML models via APIs (e.g., Flask, Keras). Startup experience or familiarity with geospatial and financial data. The Interview Process (subject to change): You’ll start with an introductory call with More ❯

and modelling roadmap. Assist in acquiring vendor data and develop arguments. Provide expert mentorship for ongoing and new pricing activities. Design experiments and multivariate testing for AI evaluation. Assess machine learning solutions for feasibility and operationalize successful prototypes with Data Engineers. Use statistical techniques to optimise business performance. Develop and maintain algorithms to improve customer value and services. … ad-hoc analysis to predict, measure, and interpret business trends. Mentor data scientists and champion standard processes within the analytics community. Collaborate with DevOps and Data Engineers to deploy ML Models Set standards for R&D practices and lead meetings with partners. Refactor code into reusable libraries, APIs, and tools Help us to craft the next generation of our products … software practices (SCRUM/Agile, microservices, containerization like Docker/Kubernetes). we'd also encourage you to apply if you possess: Experience with Spark/Databricks. Experience deploying ML models via APIs (e.g., Flask, Keras). Startup experience or familiarity with geospatial and financial data. The Interview Process (subject to change): You’ll start with an introductory call with More ❯

DWP Digital by 2x Sign in to set job alerts for “Data Scientist” roles. Leeds, England, United Kingdom 7 hours ago Leeds, England, United Kingdom 1 week ago AI&ML Engineer (Artificial Intelligence & Machine Learning Engineer) Halifax, England, United Kingdom 1 day ago York, England, United Kingdom 22 hours ago Senior Machine Learning Scientist (UK Remote … Physics) - AI Trainer Research and Development Physicist - AI Trainer Leeds, England, United Kingdom 4 days ago Leeds, England, United Kingdom 5 days ago Research Fellow in Software Engineering and Machine Learning Leeds, England, United Kingdom 6 days ago Wakefield, England, United Kingdom 2 weeks ago Leeds, England, United Kingdom 3 weeks ago We’re unlocking community knowledge in More ❯

We’re working with a biotech start-up that’s tackling one of modern medicine’s biggest challenges. They’ve built a next-generation diagnostic device and with AI, machine learning, and their own DNA sequencing tech in play, they’re solving incredibly complex problems at the intersection of science and software. What you’ll be doing: Following … a life-saving platform. You’ll be leading on the design and implementation of scalable, secure data pipelines - getting experimental and genomic data into formats that data scientists and machine learning engineers can easily … work with. This role combines classic data engineering work with data management strategy, data lineage tracking, and storage infrastructure design; from cold archiving through to high-speed access for ML models, you’ll be the go-to person. You'll be collaborating closely with engineers and scientists, helping to bridge the gap between their experiments and actionable data. That might More ❯

diagnostics to save lives. Were working with a biotech start-up thats tackling one of modern medicines biggest challenges. Theyve built a next-generation diagnostic device and with AI, machine learning, and their own DNA sequencing tech in play, theyre solving incredibly complex problems at the intersection of science and software. What youll be doing: Following a successful … supports a life-saving platform. Youll be leading on the design and implementation of scalable, secure data pipelines - getting experimental and genomic data into formats that data scientists and machine learning engineers can easily … work with. This role combines classic data engineering work with data management strategy, data lineage tracking, and storage infrastructure design; from cold archiving through to high-speed access for ML models, youll be the go-to person. You'll be collaborating closely with engineers and scientists, helping to bridge the gap between their experiments and actionable data. That might mean More ❯

heart of an exciting journey, crafting tools and patterns that are state-of-the-art and transformative. We are the catalysts, enabling the creation and collaboration of cutting-edge ML and AI technologies. Our work is pivotal in shaping the BBC's future, empowering teams across the organisation to explore, innovate, and redefine the landscape of media. Our team is … building out new tools and capabilities to accelerate data science activities and the development of ML/GenAI applications. We enable teams across the BBC to build, collaborate on, manage, and maintain their machine learning platforms at scale. You will play a key role in driving our ambition to build an outstanding software engineering team, environment, and culture. … dives, brown bags, internal tech talks, and cross-team collaboration. Your Skills And Experience Extensive experience in DevOps/MLOps roles with demonstrated impact in building, scaling, and securing ML/AI infrastructure in cloud-native environments. Strong experience with AWS services such as SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, with a strong command of cloud More ❯

heart of an exciting journey, crafting tools and patterns that are state-of-the-art and transformative. We are the catalysts, enabling the creation and collaboration of cutting-edge ML and AI technologies. Our work is pivotal in shaping the BBC's future, empowering teams across the organisation to explore, innovate, and redefine the landscape of media. Our team is … building out new tools and capabilities to accelerate data science activities and the development of ML/GenAI applications. We enable teams across the BBC to build, collaborate on, manage, and maintain their machine learning platforms at scale. You will play a key role in driving our ambition to build an outstanding software engineering team, environment, and culture. … dives, brown bags, internal tech talks, and cross-team collaboration. Your Skills And Experience Extensive experience in DevOps/MLOps roles with demonstrated impact in building, scaling, and securing ML/AI infrastructure in cloud-native environments. Strong experience with AWS services such as SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, with a strong command of cloud More ❯

heart of an exciting journey, crafting tools and patterns that are state-of-the-art and transformative. We are the catalysts, enabling the creation and collaboration of cutting-edge ML and AI technologies. Our work is pivotal in shaping the BBC's future, empowering teams across the organisation to explore, innovate, and redefine the landscape of media. Our team is … building out new tools and capabilities to accelerate data science activities and the development of ML/GenAI applications. We enable teams across the BBC to build, collaborate on, manage, and maintain their machine learning platforms at scale. You will play a key role in driving our ambition to build an outstanding software engineering team, environment, and culture. … dives, brown bags, internal tech talks, and cross-team collaboration. Your Skills And Experience Extensive experience in DevOps/MLOps roles with demonstrated impact in building, scaling, and securing ML/AI infrastructure in cloud-native environments. Strong experience with AWS services such as SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, with a strong command of cloud More ❯

heart of an exciting journey, crafting tools and patterns that are state-of-the-art and transformative. We are the catalysts, enabling the creation and collaboration of cutting-edge ML and AI technologies. Our work is pivotal in shaping the BBC's future, empowering teams across the organisation to explore, innovate, and redefine the landscape of media. Our team is … building out new tools and capabilities to accelerate data science activities and the development of ML/GenAI applications. We enable teams across the BBC to build, collaborate on, manage, and maintain their machine learning platforms at scale. You will play a key role in driving our ambition to build an outstanding software engineering team, environment, and culture. … dives, brown bags, internal tech talks, and cross-team collaboration. Your Skills And Experience Extensive experience in DevOps/MLOps roles with demonstrated impact in building, scaling, and securing ML/AI infrastructure in cloud-native environments. Strong experience with AWS services such as SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, with a strong command of cloud More ❯

heart of an exciting journey, crafting tools and patterns that are state-of-the-art and transformative. We are the catalysts, enabling the creation and collaboration of cutting-edge ML and AI technologies. Our work is pivotal in shaping the BBC's future, empowering teams across the organisation to explore, innovate, and redefine the landscape of media. Our team is … building out new tools and capabilities to accelerate data science activities and the development of ML/GenAI applications. We enable teams across the BBC to build, collaborate on, manage, and maintain their machine learning platforms at scale. You will play a key role in driving our ambition to build an outstanding software engineering team, environment, and culture. … dives, brown bags, internal tech talks, and cross-team collaboration. Your Skills And Experience Extensive experience in DevOps/MLOps roles with demonstrated impact in building, scaling, and securing ML/AI infrastructure in cloud-native environments. Strong experience with AWS services such as SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, with a strong command of cloud More ❯