101 to 125 of 628 Machine Learning Jobs in the UK excluding London

Duration: 6-month contract (FTC/Subcon) role Hybrid 3 days onsite Location:Sheffield The Role You will design and build Python-based ML and OCR components, taking ownership of the full lifecycle-from initial requirement gathering with stakeholders to deployment and production support. Core Responsibilities Model Development: Build … closely with Product Managers and technical teams to translate business needs into scalable AI solutions. Innovation: Continuously test and improve existing features using traditional ML and Generative AI. Technical Requirements Mandatory Skills: Azure Machine Learning: Proven experience within the Azure ecosystem. Document AI: Strong background in Intelligent Document ...

Role Our client is looking for a Machine Learning Engineer to join their Spacetime team. This is a hybrid role combining ML research and engineering, focused on solving some of the most complex temporospatial networking and resource management problems in the industry. Youll work at the cutting edge … driven networking and space systems, collaborating with engineers, researchers, and customers globally. Key Responsibilities Research and develop state-of-the-art ML algorithms for network orchestration Build and manage ML training infrastructure using Kubernetes and MLOps tools Develop and maintain documentation for new algorithms and systems Integrate AI/ML ...

Senior Machine Learning Engineer Cambridge to £90k Do you have experience of solving real-world problems via Machine Learning techniques? You could be progressing your career working on real-world problems within a highly successful SaaS tech company that provides AI and ML products for automotive innovators to design better cars faster and achieve greater sustainability xkybehq through Machine Learning. As If your skills, experience, and qualifications ...

performant AI-driven features. A Day in The Life Typically Includes: Lead, mentor, and grow a team of engineers focused on AI/ML development within the Infor MES solution. Architect and deliver scalable Generative AI and Machine Learning solutions leveraging Infor OS platform services and APIs. Drive … design and integration of AI/ML models into MES workflows, ensuring seamless customer experiences and operational reliability. Collaborate closely with cross-functional teams — Product Management, Software Engineering, Cloud Infrastructure, and Security — to align AI initiatives with business goals. Evaluate emerging AI/ML technologies and frameworks to continuously innovate ...

Reader in Artificial Intelligence (Machine Learning, NLP, Reinforcement Learning, and AI Security) The Department of Computer Science wishes to appoint academics to strengthen our growing Artificial Intelligence and Machine Learning Research Group. We welcome strong applications from all areas of AI and machine learning ...

Title: Senior Scientist - Cyber AI (Artificial Intelligence)/ML (Machine Learning) Research Location: Newport - Minimum of 3 days on site Full Time: 35 Hours Per Week Employment Type: Contract - 12 Months Belcan are currently working with a leading client in the aerospace/defence industry, to support them … Intelligence/Machine Learning, or Maths/Computer Science with AI modules. Recent PhD or Masters relevant to "Cyber Security of AI ML". Experience: Deep AI/ML algorithm and application knowledge (ideally Cyber aspects) Experience of research, innovation and/or solution development. Research Skills: Excellent ...

explain what you do to your family again! In this role you will:? Lead, motivate and inspire teams of Data Scientists? Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods … such as Deep Learning and quantitative analytics Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects? Devise reusable ...

models using ERStudio Integration & Messaging Implement message-oriented data movement and ensure robust API design and access for data services Data Analytics & AI/ML Utilize AzureML for advanced analytics and machine learning workflows Explore Generative AI and Agentic AI for innovative data solutions Data Virtualization & Streaming Enable … Development Build and optimize workflows using Matillion, Alteryx, and Qlik Visualization & Reporting Develop dashboards and reports using Power BI Innovation Drive adoption of Machine Learning, Generative AI, and Agentic AI in enterprise data strategies Required Skills & Qualifications Strong experience with data platforms (Fabric, Snowflake, Databricks, MongoDB, RDBMS) Hands ...

real value. Specifically, you can expect to be involved in the following: Designing, building, and running AI solutions Combining software engineering, data engineering, and machine learning/LLM skills to deliver robust AI products Leading medium to large AI initiatives independently, making technical decisions and trade-offs Working … experience: 8+ years experience in AI, machine learning, data science, or software engineering roles Proven experience delivering end-to-end AI/ML solutions in production Strong programming skills in Python and SQL Experience with classical machine learning and LLMs/generative AI (prompting, RAG, APIs ...

robust solutions Provide technical guidance and mentorship to junior engineers, promoting best practice across AI development Lead implementation of engineering standards across AI and ML delivery Stay current with emerging AI technologies and contribute to continuous innovation Essential Skills for the AI Engineer: Strong proficiency in Python with extensive experience … using AI, ML and NLP libraries Hands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluation Practical experience with core Generative AI frameworks and agent-based AI frameworks Strong experience with MLOps and LLMOps tooling including model lifecycle management Proven deployment experience on major ...

developing critical technology that will save lives and ensure our society remains safe in an ever-changing world. Key responsibilities: Designing and optimising ML models to enhance secure communications and signal processing on a range of edge devices. Implementing low-latency, high-performance deep learning pipelines on hardware accelerators … embedded C/C++ for model integration with an understanding of low-latency and low-power constraints in real-time systems. Awareness of adversarial ML and model robustness techniques Understanding of secure-by-design principles and trusted execution concepts for AI on edge devices. Keenness to work on meaningful problems ...

sensors to perform complex tasks, make real-time decisions, and adapt to changing environments with minimal human intervention. - Implemnt Computer Vision AI and ML, focusing on algorithm models, data curation, and retraining processes. - Collaborate with cross-functional teams, including software, hardware, and prototyping specialists, to deliver integrated solutions. - Plan, schedule … execute research and development agendas in conjunction with the AI/ML Team Lead. - Stay ahead of industry trends and advancements, ensuring the company remains competitive and at the forefront of technology. - Support the definition of project requirements and deliverables, while ensuring timely and high-quality execution. What You Will ...

includes leading a team of four and acting as deputy for the Engineering Manager when required. Why This Role Stands Out Work with advanced machine learning, generative AI, LLMs, and modern analytics technologies. Lead and develop a talented data science team. Blend hands-on technical delivery with strategic … supporting skills' development, career growth and project delivery. Deliver end-to-end data science and AI solutions across multiple client projects. Build and deploy machine learning models, including LLM-powered and generative AI applications. Run client workshops, gather requirements and translate business challenges into data-driven solutions. Review ...

curious Data Scientist to join our team and help transform complex data into clear, actionable insights that drive business performance. Youll use statistical methods, machine learning, and data visualisation tools to identify trends, solve problems, and support data-driven decision-making across the organisation. In this role, youll … data through clear, engaging dashboards and presentations. Work collaboratively with engineers, analysts, and business leaders to deliver impactful projects. Develop and enhance AI/ML tools, including Google Vertex AI and Azure ML. Stay up to date with emerging tools, technologies, and best practices in data science. Youll measure success ...

build predictive models, and partner with cross-functional stakeholders to drive strategic decision-making. You will work with large datasets, apply advanced statistical and machine learning techniques, and help shape data-driven initiatives across the organization. Key Responsibilities Collect, clean, and analyze structured and unstructured datasets from multiple … sources Develop and deploy predictive models and machine learning algorithms Design and conduct experiments (A/B testing, hypothesis testing) to inform product and business decisions Build data pipelines and automate workflows in collaboration with data engineering teams Communicate insights and recommendations clearly to technical and non-technical ...

large-scale data processing, machine learning and next-generation search experiences. In this role, you will lead multiple engineering teams across data, ML, web, QA and DevOps disciplines to deliver a platform that processes massive datasets, powers complex distributed systems and provides high-value insights to enterprise clients. … processing, machine learning pipelines and web application development Ensure systems are scalable, reliable and capable of handling large-scale data and evolving ML workloads Introduce and measure engineering KPIs Drive improvements in delivery processes, release quality and development efficiency Collaborate with Product to prioritise work and align delivery ...

large-scale data processing, machine learning and next-generation search experiences. In this role, you will lead multiple engineering teams across data, ML, web, QA and DevOps disciplines to deliver a platform that processes massive datasets, powers complex distributed systems and provides high-value insights to enterprise clients. … processing, machine learning pipelines and web application development Ensure systems are scalable, reliable and capable of handling large-scale data and evolving ML workloads Introduce and measure engineering KPIs Drive improvements in delivery processes, release quality and development efficiency Collaborate with Product to prioritise work and align delivery ...

large-scale data processing, machine learning and next-generation search experiences. In this role, you will lead multiple engineering teams across data, ML, web, QA and DevOps disciplines to deliver a platform that processes massive datasets, powers complex distributed systems and provides high-value insights to enterprise clients. … processing, machine learning pipelines and web application development Ensure systems are scalable, reliable and capable of handling large-scale data and evolving ML workloads Introduce and measure engineering KPIs Drive improvements in delivery processes, release quality and development efficiency Collaborate with Product to prioritise work and align delivery ...

large-scale data processing, machine learning and next-generation search experiences. In this role, you will lead multiple engineering teams across data, ML, web, QA and DevOps disciplines to deliver a platform that processes massive datasets, powers complex distributed systems and provides high-value insights to enterprise clients. … processing, machine learning pipelines and web application development Ensure systems are scalable, reliable and capable of handling large-scale data and evolving ML workloads Introduce and measure engineering KPIs Drive improvements in delivery processes, release quality and development efficiency Collaborate with Product to prioritise work and align delivery ...

large-scale data processing, machine learning and next-generation search experiences. In this role, you will lead multiple engineering teams across data, ML, web, QA and DevOps disciplines to deliver a platform that processes massive datasets, powers complex distributed systems and provides high-value insights to enterprise clients. … processing, machine learning pipelines and web application development Ensure systems are scalable, reliable and capable of handling large-scale data and evolving ML workloads Introduce and measure engineering KPIs Drive improvements in delivery processes, release quality and development efficiency Collaborate with Product to prioritise work and align delivery ...

working across the full lifecycle from data exploration through to model development validation plus deployment support. Responsibilities for the Data Scientist: Develop statistical models machine learning solutions analytical frameworks to address complex business problems Explore large structured semi-structured datasets to identify patterns trends predictive signals Build test … Data Scientist: Strong experience in data science using Python with libraries such as Pandas NumPy scikit-learn or similar Solid grounding in statistics probability machine learning techniques Proven experience working within cloud environments such as AWS Azure or GCP Experience working with SQL large analytical datasets Ability ...

designed with platform capabilities, data quality, performance and scalability in mind. Principal responsibilities Identify and define new data product opportunities enabled by advanced analytics, machine learning and large-scale data processing Evaluate and test emerging AI technologies and analytical techniques and their suitability for use within our Customer … customer needs into technical product requirements and delivery specifications Lead rapid prototyping and proof-of-concept development using Databricks notebooks, analytical outputs and machine learning techniques to validate product concepts Own technical product definition, including data structures, feature sets, scoring methodologies, model architectures and delivery formats in collaboration ...

Virtual Agent - our conversational interface that helps colleagues get support quickly through automated chat - used by around 120,000 colleagues. You'll use machine learning, analytics and data engineering skills to solve complex problems, reduce manual effort, and directly influence how services perform at scale. This role offers … need? Strong experience with Python (core programming language), along with common data science libraries such as Pandas, NumPy and SciKit-Learn Experience applying machine learning and AI techniques (classification, clustering or regression) to real problems, ensuring solutions are robust and meet the intended business outcome Familiarity with Jupyter ...

Virtual Agent - our conversational interface that helps colleagues get support quickly through automated chat - used by around 120,000 colleagues. You'll use machine learning, analytics and data engineering skills to solve complex problems, reduce manual effort, and directly influence how services perform at scale. This role offers … need? Strong experience with Python (core programming language), along with common data science libraries such as Pandas, NumPy and SciKit-Learn Experience applying machine learning and AI techniques (classification, clustering or regression) to real problems, ensuring solutions are robust and meet the intended business outcome Familiarity with Jupyter ...

Virtual Agent - our conversational interface that helps colleagues get support quickly through automated chat - used by around 120,000 colleagues. You'll use machine learning, analytics and data engineering skills to solve complex problems, reduce manual effort, and directly influence how services perform at scale. This role offers … need? Strong experience with Python (core programming language), along with common data science libraries such as Pandas, NumPy and SciKit-Learn Experience applying machine learning and AI techniques (classification, clustering or regression) to real problems, ensuring solutions are robust and meet the intended business outcome Familiarity with Jupyter ...