226 to 250 of 1,707 Machine Learning Jobs in the UK excluding London

working lead data scientist. You will explore and prove new analysis methods, from synthetic data and information-limit studies to modelling, machine learning and AI, to improve the performance of our Metron3D systems and draw more insight from our data. You will work hand in hand with … geometry, and use it as the benchmark for every new method Explore, test and benchmark new algorithms (for example PCA, percentile methods and machine learning) on real and synthetic data, covering achievable performance, measurement uncertainty and gauge capability Define the handover to Data Analysis in Engineering (prototype code ...

delivered . This is not a traditional AI engineering role. You will not be expected to build large language models or develop complex machine-learning systems from scratch. Instead, you will combine a strong understanding of DfMA, design, BIM and construction with an interest in emerging AI technologies. … Explore how AI could support industrialised construction and platform-based delivery. Capability development Help build an emerging AI × DfMA roadmap . Capture and share learning from experiments and prototypes. Identify the strongest opportunities for further development. Help define where more specialist AI or machine-learning capability should ...

Range: £31,236.00- £34,610.00per annum About the Role This is an exciting opportunity for an early career researcher with experience in computer science, machine learning, artificial intelligence, data science, engineering or a closely related discipline. You will work on the KIKOHOZI project to develop and test … About You The successful candidate will have a good honours degree and Master's/PhD degree, or equivalent research experience, in computer science, machine learning, artificial intelligence, data science, engineering or a closely related discipline. They should also have excellent (or capability to upskill) computing and programming ...

with a clear pathway toward broader leadership responsibilities. The ideal candidate combines deep knowledge of power systems with advanced expertise in signal processing and machine learning, has experience across an entire algorithm development and deployment pipeline, from first idea and proof‐of‐concept through to deployment across complex … design and development of advanced algorithms for power system monitoring and grid analytics (e.g., transformers, asset health, and condition monitoring) Develop signal processing and machine learning techniques to extract actionable insights from real‐world sensor data. Architect and deploy solutions across the Edge-to-Cloud stack, including implementation ...

technical support to partners on firmware, software, Machine Learning, and Computer Vision related issues on Arm-based systems. Work closely with hardware, ML, and applications engineering peers, as well as cross-functional teams across Engineering, the Business Unit landing team, and Product Management. Investigate and reproduce complex customer … across geographically distributed and cross-functional teams. Excellent communications skills both written and verbal “Nice To Have” Skills and Experience: Experience with AI/ML frameworks such as TensorFlow, PyTorch, ONNX, or inference runtimes. System bring-up and JTAG debugging expertise Good background of system performance analysis Experience with ...

weekJoin a fast-growing fintech that is investing heavily in its data science and risk capabilities. This role offers the opportunity to build impactful machine learning models from the ground up while working on business-critical challenges in lending and forecasting. The Company A profitable global fintech with … international operations. They are continuing to scale their data and analytics function while modernising their technology and modelling infrastructure. The Role Build and deploy machine learning models across the full lifecycle Develop and enhance Probability of Default (PD) models and scorecards Create revenue forecasting models using techniques such ...

built on Microsoft Azure and Snowflake. We also work closely with WTech, the Wright Technology and Research Centre at Queen’s University Belfast, on machine learning and advanced modelling. The data is there. We need someone to make it reliable, joined up and trusted. THE ROLE This … data from vehicles, chargers, energy systems and operations Design data models in Snowflake that power reporting, Total Cost of Ownership modelling and WTech’s machine learning research Deploy and manage data resources in Azure, with orchestration, monitoring and alerting so failures get spotted fast Help shape a scalable ...

Role overview The Data Scientist will use data science, statistics and machine learning techniques to generate insight and develop practical solutions for AWTG and its clients. The role works with multidisciplinary teams to explore data, build models and communicate findings clearly. You will work with multidisciplinary teams across … data to identify patterns, trends and opportunities. Develop data science outputs such as models, reports, dashboards, forecasts or decision-support tools. Apply appropriate statistical, machine learning or analytical techniques to solve business or user problems. Work with data engineers, analysts, developers and product teams to deliver usable data ...

site full time and can’t provide sponsorship for this position. Responsibilities: We are looking for a software and simulation engineer with experience in machine learning and artificial intelligence techniques. The role will be working in the design team alongside our device design experts using a range … techniques. This role will span from model building through full simulation automation and optimization. The role will require extensive knowledge of a range of machine learning techniques including multi-parameter optimization and inverse design. Automation of test data analysis and correlation to design variants is also necessary ...

pace and become job-ready in as little as a few weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 – £60,000 Machine Learning Engineer: £60,000 – £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

pace and become job-ready in as little as a few weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 – £60,000 Machine Learning Engineer: £60,000 – £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

pace and become job-ready in as little as a few weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 – £60,000 Machine Learning Engineer: £60,000 – £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

pace and become job-ready in as little as a few weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 – £60,000 Machine Learning Engineer: £60,000 – £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

pace and become job-ready in as little as a few weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 – £60,000 Machine Learning Engineer: £60,000 – £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

pace and become job-ready in as little as a few weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 – £60,000 Machine Learning Engineer: £60,000 – £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

pace and become job-ready in as little as a few weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 – £60,000 Machine Learning Engineer: £60,000 – £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

excellent opportunity for a Data Scientist to join a growing data and analytics function where you'll have the chance to work across machine learning, AI, forecasting, and business-critical analytics projects. You'll take ownership of end-to-end solutions, influence key decision-making, and help shape … strategic outcomes. The environment is collaborative, fast-paced, and offers genuine opportunities to make an impact. The Role You will: Develop, test, and deploy machine learning models to solve business challenges. Build and optimise data models to support analytics, reporting, and AI initiatives. Design and maintain scalable data ...

Building AI models is one thing. Getting them into production and delivering real impact is another. Lead Machine Learning Engineer - AI Location: Hybrid - UK (TBC) Salary: £60,000-£90,000 per annum Clearance: Active UK Government security clearance required Level: Lead A technology consultancy working across UK Government … National Security is looking for a Lead Machine Learning Engineer to design click apply for full job details ...

organisation's data platform, including data warehouses, lakehouses, master data management solutions, and API frameworks Design the data foundations required to support AI and machine learning initiatives, ensuring high-quality, trusted, and accessible data. Partner with Data Engineering, Data Governance, and Analytics teams to ensure architecture standards … Data Mesh concepts API-led architectures Event-driven integration patterns Experience architecting solutions that support both operational reporting and advanced analytics, including AI and machine learning workloads. Strong knowledge of Azure-based data platforms and cloud architecture principles. Familiarity with Master Data Management (MDM) frameworks and technologies. Experience ...

data workflows, drive process reengineering and transformation as well as embed the surrounding controls required for audit and risk assurance. They will apply machine learning and advanced analytics where they add measurable value. They will work to high standards for documentation and development in the team enabling proactive … Contribute to the continuous improvement of data platforms, frameworks, and engineering standards.**Key Knowledge, Skills and Experience:*** Strong expertise in data science techniques, including machine learning and their application in financial services.* Proficiency in data tools, programming languages, and database technologies, in particular in Azure Databricks, Spark, Spark ...

data workflows, drive process reengineering and transformation as well as embed the surrounding controls required for audit and risk assurance. They will apply machine learning and advanced analytics where they add measurable value. They will work to high standards for documentation and development in the team enabling proactive … Contribute to the continuous improvement of data platforms, frameworks, and engineering standards. Key Knowledge, Skills and Experience: Strong expertise in data science techniques, including machine learning and their application in financial services. Proficiency in data tools, programming languages, and database technologies, in particular in Azure Databricks, Spark, Spark ...

performance reviews Deliver technology innovation initiatives that improve efficiency, advance business capability and strengthen resilience Assess, pilot and adopt emerging technologies, spanning artificial intelligence, machine learning, generative AI, intelligent automation and modern cloud tooling, aligned to architecture, security and resilience requirements Translate business technology strategy into actionable roadmaps … cyber security and resilience The ability to lead, manage and develop a team Proven success assessing, trialling and implementing emerging technologies, including artificial intelligence, machine learning and intelligent automation, balancing innovation against risk and regulation An analytical, commercially minded eye for the business value, feasibility and resilience impact ...

Those who haven't been awarded their PhD yet will also be considered. Strong software development skills including Python and its various AI/ML focused libraries, version control (git) and Linux. A research mindset, able to plan and carry out a programme of research independently or collaboratively and produce … Network Security, AI Security, Cyber-Physical Systems Security, Systems Assurance, Software Assurance, Formal Verification, National Security, Security, Artificial Intelligence, AI, Machine Learning, ML, AI Agents, Agentic AI Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact ...

fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving … forefront of the market. THE ROLE Work across a range of credit models within the business, predominantly scorecards and broader decisioning models Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business Own the deployment and implementation of predictive models across ...

Description Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. Accountabilities Identification, collection, extraction of data from … quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify ...