201 to 225 of 1,904 Machine Learning Jobs in the UK excluding London

site; Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £90–120k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg, Google, AWS, and WhatsApp (Meta). We are backed by prominent investors from … US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of a web-based application for Machine Learning workloads. We put strong emphasis on user experience, aesthetics and pixel-perfect design. You will be working closely with the Machine Learning team to understand … the underlying concepts and user flows; however, you are not required or expected to have background in Machine Learning. This is a senior-level role, and we are looking to hire a software engineer with background in product design, UI/UX design, and with a strong sense of aesthetics. Portfolio We would love to see your recent frontend More ❯

site; Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £90–120k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg, Google, AWS, and WhatsApp (Meta). We are backed by prominent investors from … US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of a web-based application for Machine Learning workloads. We put strong emphasis on user experience, aesthetics and pixel-perfect design. You will be working closely with the Machine Learning team to understand … the underlying concepts and user flows; however, you are not required or expected to have background in Machine Learning. This is a senior-level role, and we are looking to hire a software engineer with background in product design, UI/UX design, and with a strong sense of aesthetics. Portfolio We would love to see your recent frontend More ❯

frameworks that uncover actionable insights. Design and implement end to end data science workflows. Translate R&D concepts and exploratory analysis into production ready algorithms and reusable components. Build machine learning models and design experiments to optimise building performance and asset control strategies. Select, apply and evaluate appropriate data science techniques (e.g., regression, classification, clustering, anomaly detection) based … and innovation. Conduct exploratory research and develop prototypes or proof of concept solutions to test hypotheses or emerging techniques. Remain up to date with developments in Artificial Intelligence/Machine learning. Contribute to the development of internal best practices, processes and documentation, to increase team effectiveness and reusability of work. Evaluate and select the most appropriate data mining models … or equivalent. Skilled in SQL. Experience working as a data scientist, preferably on client facing software solutions, within optimisation or energy focussed applications. Strong foundation in statistical techniques and machine learning, including regression, classification, clustering, time series analysis and pattern recognition. Degree in a quantitative discipline such as Applied Mathematics, Statistics, Computer Science, Engineering or Physics. Desirable MSc More ❯

frameworks that uncover actionable insights. Design and implement end to end data science workflows. Translate R&D concepts and exploratory analysis into production ready algorithms and reusable components. Build machine learning models and design experiments to optimise building performance and asset control strategies. Select, apply and evaluate appropriate data science techniques (e.g., regression, classification, clustering, anomaly detection) based … and innovation. Conduct exploratory research and develop prototypes or proof of concept solutions to test hypotheses or emerging techniques. Remain up to date with developments in Artificial Intelligence/Machine learning. Contribute to the development of internal best practices, processes and documentation, to increase team effectiveness and reusability of work. Evaluate and select the most appropriate data mining models … or equivalent. Skilled in SQL. Experience working as a data scientist, preferably on client facing software solutions, within optimisation or energy focussed applications. Strong foundation in statistical techniques and machine learning, including regression, classification, clustering, time series analysis and pattern recognition. Degree in a quantitative discipline such as Applied Mathematics, Statistics, Computer Science, Engineering or Physics. Desirable MSc More ❯

frameworks that uncover actionable insights. Design and implement end to end data science workflows. Translate R&D concepts and exploratory analysis into production ready algorithms and reusable components. Build machine learning models and design experiments to optimise building performance and asset control strategies. Select, apply and evaluate appropriate data science techniques (e.g., regression, classification, clustering, anomaly detection) based … and innovation. Conduct exploratory research and develop prototypes or proof of concept solutions to test hypotheses or emerging techniques. Remain up to date with developments in Artificial Intelligence/Machine learning. Contribute to the development of internal best practices, processes and documentation, to increase team effectiveness and reusability of work. Evaluate and select the most appropriate data mining models … or equivalent. Skilled in SQL. Experience working as a data scientist, preferably on client facing software solutions, within optimisation or energy focussed applications. Strong foundation in statistical techniques and machine learning, including regression, classification, clustering, time series analysis and pattern recognition. Degree in a quantitative discipline such as Applied Mathematics, Statistics, Computer Science, Engineering or Physics. Desirable MSc More ❯

leading pharmaceuticals organisation to recruit an AI Engineer on a contract basis. Outside IR35. Hybrid working - London based. Role * The AI Engineer will design, develop, and implement AI and machine learning solutions to support data-driven decision-making and business innovation in pharmaceuticals.* Collaborate with data scientists, data engineers, and business analysts to build scalable AI models for … research, development, and commercial operations.* Develop, test, and optimise machine learning algorithms and predictive models relevant to pharmaceutical data.* Integrate AI models with existing data pipelines, laboratory systems, and business applications.* Ensure the reliability, scalability, and performance of AI systems across multiple platforms.* Maintain clear documentation and contribute to best practices in model governance, regulatory compliance, and MLOps. … Stay abreast of industry trends and emerging technologies in artificial intelligence and pharmaceuticals, continuously enhancing technical expertise. Profile * The AI Engineer will have proven experience developing and deploying machine learning models in a commercial or scientific environment.* Proficient in Python and familiar with key libraries such as TensorFlow, PyTorch, and scikit-learn.* Experience working with cloud platforms such More ❯

Lead Data Engineer (Databricks) - Leeds (Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer, Python, PySpark, SQL, Big Data, Databricks, R, Machine Learning, AI, Agile, Scrum, TDD, BDD, CI/CD, SOLID principles, Github, Azure DevOps, Jenkins, Terraform, AWS CDK, AWS CloudFormation, Azure, Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer … for the team. You will be responsible for building a greenfield modern data platform using cutting-edge technologies, architecting big data solutions and developing complex enterprise data ETL and ML pipelines and projections. The successful candidate will have strong Python, PySpark and SQL experience, possess a clear understanding of databricks, as well as a passion for Data Science (R, Machine Learning and AI). Database experience with SQL and No-SQL - Aurora, MS SQL Server, MySQL is expected, as well as significant Agile and Scrum exposure along with SOLID principles. Continuous Integration tools, Infrastructure as code and strong Cloud Platform knowledge, ideally with AWS is also key. We are keen to hear from talented Lead Data Engineer candidates More ❯

Job Title : Lead Data & Machine Learning Architect Location : Yate (On-Site 2 Days Per Week) Salary : Up to £60,000 (Depending on Experience) Overview of Business: This is a chance to join a team who are creating an Energy Management Solutions to minimise energy cost & increase higher returns from energy assets. We are seeking a highly skilled Lead … Data & Machine Learning Architect to design and lead th... More ❯

team to define where and how data can deliver the most value. You’ll help the organisation move from descriptive reporting to truly predictive and prescriptive insights — applying advanced machine learning and data science to real-world challenges such as: Identifying patterns in student engagement and performance. Predicting churn rates and optimising retention. Understanding what drives new enrolments … a function, own the roadmap, and have direct influence on strategy within a high-growth, PE-backed environment. What You’ll Do Establish and lead the data science and machine learning capability. Partner with the CIO and executive team to define data priorities and build predictive solutions. Translate complex insights into clear, actionable outcomes for business stakeholders. Build … experience leading data science or advanced analytics in a scaling or transformative environment. Comfortable working with senior stakeholders and translating technical concepts into strategic outcomes. Strong technical foundation across machine learning, forecasting, statistical & predictive modelling/analytics. Commercially minded — able to identify high-impact opportunities and measure value delivered. Tech stack is open for this hire to implement More ❯

team to define where and how data can deliver the most value. You’ll help the organisation move from descriptive reporting to truly predictive and prescriptive insights — applying advanced machine learning and data science to real-world challenges such as: Identifying patterns in student engagement and performance. Predicting churn rates and optimising retention. Understanding what drives new enrolments … a function, own the roadmap, and have direct influence on strategy within a high-growth, PE-backed environment. What You’ll Do Establish and lead the data science and machine learning capability. Partner with the CIO and executive team to define data priorities and build predictive solutions. Translate complex insights into clear, actionable outcomes for business stakeholders. Build … experience leading data science or advanced analytics in a scaling or transformative environment. Comfortable working with senior stakeholders and translating technical concepts into strategic outcomes. Strong technical foundation across machine learning, forecasting, statistical & predictive modelling/analytics. Commercially minded — able to identify high-impact opportunities and measure value delivered. Tech stack is open for this hire to implement More ❯

team to define where and how data can deliver the most value. You’ll help the organisation move from descriptive reporting to truly predictive and prescriptive insights — applying advanced machine learning and data science to real-world challenges such as: Identifying patterns in student engagement and performance. Predicting churn rates and optimising retention. Understanding what drives new enrolments … a function, own the roadmap, and have direct influence on strategy within a high-growth, PE-backed environment. What You’ll Do Establish and lead the data science and machine learning capability. Partner with the CIO and executive team to define data priorities and build predictive solutions. Translate complex insights into clear, actionable outcomes for business stakeholders. Build … experience leading data science or advanced analytics in a scaling or transformative environment. Comfortable working with senior stakeholders and translating technical concepts into strategic outcomes. Strong technical foundation across machine learning, forecasting, statistical & predictive modelling/analytics. Commercially minded — able to identify high-impact opportunities and measure value delivered. Tech stack is open for this hire to implement More ❯

management tools to uncover patterns, trends, and anomalies. Develop, track, and report on key fraud metrics, presenting findings and recommendations to senior stakeholders. Design and implement data models and machine learning scoring models to drive predictive insights and enhance fraud detection accuracy. Optimise and fine-tune Financial Crime system rule sets in line with risk appetite, balancing risk … with database platforms such as SQL Server, Oracle, SAS, or Access. Familiarity with data visualisation tools (e.g. Power BI, Tableau) for insight generation and reporting. Knowledge of AI and Machine Learning models for risk scoring and predictive analytics. Expertise with Financial Crime platforms such as ACI PRM (Proactive Risk Manager), SIRA, SONAR, ThreatMetrix, Mitek, and CIFAS. In-depth … data investigation and interpretation. Strong communication skills, capable of translating technical findings into actionable business insights. Qualifications Degree in Computer Science, Data Analytics, Mathematics MIS/CIS, AI, or Machine Learning, or equivalent experience. Recognised SQL/Database qualification (Microsoft, Oracle, or equivalent). Relevant certification in Financial Crime, Fraud, or Cybercrime is desirable. Exceptional candidates without formal More ❯

to join a leading Data and AI Team , supporting digital transformation projects across Tax and Legal. This role involves designing and developing Generative AI and Machine Learning (ML) solutions using Python and Microsoft Azure . You'll work with cross-functional teams to build intelligent, data-driven applications that solve complex business challenges and deliver measurable impact. Key … Responsibilities Design, build, and deploy Python-based AI and ML applications . Research and develop new Generative AI techniques, including fine-tuning and prompt engineering. Develop and maintain LLM-assisted frameworks and automation pipelines. Write clean, maintainable, and well-documented code for scalable deployment. Build and implement testing and evaluation frameworks for AI models. Collaborate with data scientists, software engineers … on experience using NumPy, Pandas, Scikit-learn, Langchain, LlamaIndex , and Azure AI Foundry . Proven experience working with Azure cloud services and Generative AI R&D. Strong understanding of machine learning, data modelling , and natural language processing (NLP) techniques. Experience with fine-tuning , prompt orchestration , and retrieval methods (RAG, knowledge graphs). Familiarity with frameworks such as LangGraph More ❯

team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the … finance. Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands-on technical expertise with tools such … as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practice Credibility to lead long-tenured individual contributors while providing direction, mentorship and career development If you are looking for a new challenge, then please submit your CV for initial screening and more details. Head of Data Science More ❯

team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the … finance. Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands-on technical expertise with tools such … as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practice Credibility to lead long-tenured individual contributors while providing direction, mentorship and career development If you are looking for a new challenge, then please submit your CV for initial screening and more details. Head of Data Science More ❯

powered B2B marketing company based in London . They are looking for a Data Engineer to join their team. Responsibilities: Analyse raw and messy data Calibrate, deploy and monitor machine learning models Deploy, monitor and manage data pipelines (daily batch jobs as well as real time streaming data) Visualise results Communicate technical problems and solutions to non-technical … team members Optimise the product by continuously tweaking how automated decisions are being made Requirements: Proven experience in applying data analysis and machine learning to real-world problems Proven experience managing production data pipelines Understanding of predictive modelling, machine-learning, clustering and classification techniques Fluency in Python and SQL Nice to have: Experience using Databricks Experience More ❯

powered B2B marketing company based in London . They are looking for a Data Engineer to join their team. Responsibilities: Analyse raw and messy data Calibrate, deploy and monitor machine learning models Deploy, monitor and manage data pipelines (daily batch jobs as well as real time streaming data) Visualise results Communicate technical problems and solutions to non-technical … team members Optimise the product by continuously tweaking how automated decisions are being made Requirements: Proven experience in applying data analysis and machine learning to real-world problems Proven experience managing production data pipelines Understanding of predictive modelling, machine-learning, clustering and classification techniques Fluency in Python and SQL Nice to have: Experience using Databricks Experience More ❯

continue to increase our portfolio of solutions developed by the team. The roadmap is an exciting mixture of greenfield projects and continuous improvement, including initiatives to embed AI and machine learning into our solutions. From intelligent chatbots to predictive forecasting were exploring how these technologies can transform internal processes. This is an exciting opportunity for someone with a … keen interest in generative AI and machine learning. The team has grown significantly over recent years and as a result weve reorganised ourselves into smaller agile squads which each manage their own workstream and champion the business domains they work with. Applications developed by the team are used through-out our business by all of our 30,000+ colleagues … implement AI-driven solutions using Microsoft Azure AI Services, and modern frameworks to integrate generative AI into internal applications such as chatbots and intelligent automation tools. Work with Azure Machine Learning and modern frameworks to build predictive models for forecasting demand, trends, and operational performance, helping drive data-informed decisions across the business. Collaborate closely with your agile More ❯

partnered with an early stage high potential AI focused Tech Start-Up who aree looking for a Junior Data Scientist to join their growing team and help develop advanced machine learning models that predict and prevent equipment failures in large-scale industrial operations. This is an exciting opportunity to apply data science to real-world engineering challenges , using … innovation to heavy industry. You'd join the business at a very early stage which is uniquely positioned for rapid growth! What You'll Do Build, validate, and monitor machine learning models for anomaly detection and failure prediction. Analyze sensor data and operational logs to support predictive maintenance strategies. Develop and maintain data pipelines using tools like Apache … Bachelor's degree in Computer Science, Mathematics, Electrical Engineering, or a related field. Strong experience with Python and data science libraries (Pandas, Scikit-learn, etc.). Solid understanding of machine learning concepts and algorithms . Interest in working with real-world industrial or sensor data . Exposure to Apache Airflow and/or MLflow (through coursework or experience More ❯

At Helping Hands, we know the power of data to transform how care is delivered. As a Data Scientist, you’ll help us build and deploy machine learning and AI solutions that make a real difference – from improving our operations to enhancing the experience of our customers and carers. Working in our Data & Insight team, you’ll take … the UK. You will be required to work at least 1 day per week from our Support Office in Alcester What you’ll be doing Designing, building and deploying machine learning models that solve real business challenges. Working with stakeholders to understand their needs and translate them into effective modelling approaches. Using Python, SQL, and Snowflake to build … and non-technical audiences. Sharing knowledge through code reviews and mentoring colleagues. What we’re looking for Strong technical skills in Python and SQL, with a solid grounding in machine learning and statistics. Proven experience building models in production or near-production environments. Ability to explain complex ideas simply, and adapt communication for different audiences. A collaborative, problem More ❯

At Helping Hands, we know the power of data to transform how care is delivered. As a Data Scientist, you’ll help us build and deploy machine learning and AI solutions that make a real difference – from improving our operations to enhancing the experience of our customers and carers. Working in our Data & Insight team, you’ll take … the UK. You will be required to work at least 1 day per week from our Support Office in Alcester What you’ll be doing Designing, building and deploying machine learning models that solve real business challenges. Working with stakeholders to understand their needs and translate them into effective modelling approaches. Using Python, SQL, and Snowflake to build … and non-technical audiences. Sharing knowledge through code reviews and mentoring colleagues. What we’re looking for Strong technical skills in Python and SQL, with a solid grounding in machine learning and statistics. Proven experience building models in production or near-production environments. Ability to explain complex ideas simply, and adapt communication for different audiences. A collaborative, problem More ❯

Scientist to join our talented team at our global head office in Oldham, Greater Manchester. The Graduate Data Scientist role overview: This role is to maintain and proactively develop Machine Learning algorithms for current and future products, with a core focus on biometric technologies. Your Responsibilities as a Graduate Data Scientist: Contribute directly to the development, implementation, and … validation of Machine Learning algorithms for our industry-leading biometric and face analysis technologies. Optimize and fine-tune existing models, including tuning and retraining existing Convolutional Neural Networks (CNNs). Investigate and resolve underlying system and algorithm issues identified through testing and customer feedback. Drive continuous improvement through research and development of novel techniques in the field. Ensure … processes for quality development (e.g., standard reporting, source control, integration). Your Skills & Experience: A degree in Mathematics, Computer Science or Computational Science Basic knowledge of Data Science/Machine Learning algorithms and full data processing pipelines. Proficiency in a Data Science prototyping language such as Python or MATLAB. Understanding of Convolutional Neural Networks (CNNs) and Feature Extraction More ❯

Scientist to join our talented team at our global head office in Oldham, Greater Manchester. The Graduate Data Scientist role overview: This role is to maintain and proactively develop Machine Learning algorithms for current and future products, with a core focus on biometric technologies. Your Responsibilities as a Graduate Data Scientist: Contribute directly to the development, implementation, and … validation of Machine Learning algorithms for our industry-leading biometric and face analysis technologies. Optimize and fine-tune existing models, including tuning and retraining existing Convolutional Neural Networks (CNNs). Investigate and resolve underlying system and algorithm issues identified through testing and customer feedback. Drive continuous improvement through research and development of novel techniques in the field. Ensure … processes for quality development (e.g., standard reporting, source control, integration). Your Skills & Experience: A degree in Mathematics, Computer Science or Computational Science Basic knowledge of Data Science/Machine Learning algorithms and full data processing pipelines. Proficiency in a Data Science prototyping language such as Python or MATLAB. Understanding of Convolutional Neural Networks (CNNs) and Feature Extraction More ❯

The Role As a Data Scientist, you’ll work within a multidisciplinary team to extract insight from complex, high-volume datasets. You’ll design and implement advanced analytical and machine learning models, develop robust data pipelines, and deliver actionable intelligence to inform decision-making at the highest levels. This role offers the opportunity to apply your technical skills … and mission specialists to ensure data-driven outcomes that make a tangible difference. Key Responsibilities Perform data wrangling , cleaning, transformation, and preparation of large, complex datasets Develop and deploy machine learning models to solve real-world operational problems Write clean, maintainable Python code for data analysis, automation, and modelling Collaborate with engineers and analysts to integrate models into … technical and non-technical stakeholders Contribute to the ongoing improvement of analytical tooling and processes Skills & Experience Current enhanced DV clearance (mandatory) Proven experience in a data science or machine learning role Strong programming skills in Python and familiarity with key data libraries (e.g. pandas, NumPy, scikit-learn) Experience with data wrangling , feature engineering, and model optimisation Understanding More ❯

The Role As a Data Scientist, you’ll work within a multidisciplinary team to extract insight from complex, high-volume datasets. You’ll design and implement advanced analytical and machine learning models, develop robust data pipelines, and deliver actionable intelligence to inform decision-making at the highest levels. This role offers the opportunity to apply your technical skills … and mission specialists to ensure data-driven outcomes that make a tangible difference. Key Responsibilities Perform data wrangling , cleaning, transformation, and preparation of large, complex datasets Develop and deploy machine learning models to solve real-world operational problems Write clean, maintainable Python code for data analysis, automation, and modelling Collaborate with engineers and analysts to integrate models into … technical and non-technical stakeholders Contribute to the ongoing improvement of analytical tooling and processes Skills & Experience Current enhanced DV clearance (mandatory) Proven experience in a data science or machine learning role Strong programming skills in Python and familiarity with key data libraries (e.g. pandas, NumPy, scikit-learn) Experience with data wrangling , feature engineering, and model optimisation Understanding More ❯