a new Senior Data Scientist to join the team. You'll be working at the intersection of data, technology, and marketing, you’ll lead the delivery of cutting-edge machinelearning, optimisation, and analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such … data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machinelearning models and optimisation algorithms in production environments. Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling. What We’re Looking … For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses. Proven experience in deploying machinelearning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value More ❯
a new Senior Data Scientist to join the team. You'll be working at the intersection of data, technology, and marketing, you’ll lead the delivery of cutting-edge machinelearning, optimisation, and analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such … data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machinelearning models and optimisation algorithms in production environments. Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling. What We’re Looking … For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses. Proven experience in deploying machinelearning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value More ❯
Birmingham, West Midlands, United Kingdom Hybrid / WFH Options
MYO Talent
Data Engineer/Data Engineering/Lakehouse/Delta Lake/Data Warehousing/ETL/Azure/Azure Databricks/Python/SQL/ML/MachineLearning/AI/Artificial Intelligence/Based in the West Midlands/Solihull/Birmingham area, Permanent role, £50,000 70,000 + car/allowance + bonus. One … of our leading clients is looking to recruit a Data Engineer Azure/Python/ML/AI. Location Hybrid/West Midlands (Birmingham/Solihull) Permanent role Salary £50,000 70,000 + car/allowance + bonus Experience: Experience in a Data Engineer/Data Engineering role Large and complex datasets Azure, Azure Databricks ML/MachineLearning/AI/Artificial Intelligence Microsoft SQL Server Lakehouse, Delta Lake Data Warehousing ETL Database Design Python/PySpark Azure Blob Storage Azure Data Factory More ❯
new product to enhance our large language models with speech-to-speech capabilities. This greenfield project offers a unique opportunity to help define its research direction and build the machinelearning systems that will power it. We're seeking a data scientist with a strong research background in machinelearning and a focus on speech or … research concepts into deployable features Contributing to improving the team's workflows to help foster a healthy, productive, and innovation-focused environment What We're Looking For? Background in machinelearning or data science, ideally with a research focus (PhD or MSc with equivalent industry experience … Experience working with LLMs, speech technologies (ASR, TTS), or multimodal systems Strong programming skills in Python, with experience in using PyTorch Hands-on experience with training and fine-tuning ML models, including setting up experiments and evaluating results Ability to read, interpret, and implement techniques from recent academic papers into practical, working solutions Strong communicator, comfortable working across interdisciplinary teams More ❯
Responsibilities In the 12-month Data Science Placement, you may be combining data and analytics with engineering or applications knowledge. We make extensive use of MachineLearning (ML) and Advanced Analytics including Computer Vision; Neural Networks; NLP and advanced statistics as well as working with varied and big datasets. GE Aerospace combines unrivalled strength in the Aviation domain … solve their problems or provide significant insights and improvements to the business. Every project is different and gives the opportunity to learn something new. Responsibilities Include Applying analytical or ML methods to monitor trends and identify issues Assisting in the development, test and deployment of analytics including dashboards/reports and the maintenance of existing capabilities Assisting in the preparation … in your penultimate year of study and returning to education post placement. Analytical scripting skills - Python preferred. SQL and Version Control (e.g., GitHub) experience also useful. Some experience of MachineLearning and advanced statistics. A keen interest in Data Science and analytics and working in commercial Aviation. Desired Characteristics Able to roll up your sleeves and get involved More ❯
a new Lead Data Scientist to join the team. You'll be working at the intersection of data, technology, and marketing, you’ll lead the delivery of cutting-edge machinelearning, optimisation, and analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such … data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machinelearning models and optimisation algorithms in production environments. Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling. Mentor and guide junior … with proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses (BigQuery, Snowflake, Redshift). Proven experience in deploying machinelearning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such More ❯
Director of Data Science/MachineLearning London - 3 days a week Up to £160,000 About the Company We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with advanced AI and data science. This is a unique opportunity to join a company that partners directly with … portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Director of Data Science to lead high-impact analytics and machinelearning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely tied to … problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Conduct rigorous A/B testing and performance More ❯
Director of Data Science/MachineLearning London - 3 days a week Up to £160,000 About the Company We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with advanced AI and data science. This is a unique opportunity to join a company that partners directly with … portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Director of Data Science to lead high-impact analytics and machinelearning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely tied to … problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Conduct rigorous A/B testing and performance More ❯
critical public sector and defence organisations. As part of our team, you'll leverage technologies like Palantir, Tableau, and cloud platforms (AWS, Azure) to build scalable data infrastructure, develop machinelearning models, and create robust solutions that enhance public service delivery. Working in classified environments, you'll tackle complex challenges using tools like Hadoop, Spark, and modern visualisation … Implement data security and governance frameworks Build and maintain data APIs and services Analytics and Data Science Focus: Translate business problems into data queries and solutions Develop and deploy machinelearning models Create advanced analytics solutions Provide insights through data visualization and reporting Design and implement A/B tests and experiments Collaborate with stakeholders to understand data … business transformation programmes Designing and implementing data lakes and warehouses using cloud technologies Creating automated data pipelines for continuous data integration Implementing data governance and security frameworks Building scalable machinelearning infrastructure Collaborating with multiple departments, stakeholders, and external vendors Skills, Knowledge and Expertise We work predominantly within the UK Defence and Public Sectors so experience within those More ❯
Guildford, Surrey, United Kingdom Hybrid / WFH Options
Actica Consulting
critical public sector and defence organisations. As part of our team, you'll leverage technologies like Palantir, Tableau, and cloud platforms (AWS, Azure) to build scalable data infrastructure, develop machinelearning models, and create robust solutions that enhance public service delivery. Working in classified environments, you'll tackle complex challenges using tools like Hadoop, Spark, and modern visualisation … Implement data security and governance frameworks Build and maintain data APIs and services Analytics and Data Science Focus: Translate business problems into data queries and solutions Develop and deploy machinelearning models Create advanced analytics solutions Provide insights through data visualization and reporting Design and implement A/B tests and experiments Collaborate with stakeholders to understand data … business transformation programmes Designing and implementing data lakes and warehouses using cloud technologies Creating automated data pipelines for continuous data integration Implementing data governance and security frameworks Building scalable machinelearning infrastructure Collaborating with multiple departments, stakeholders, and external vendors Skills, Knowledge and Expertise We work predominantly within the UK Defence and Public Sectors so experience within those More ❯
Bristol, Gloucestershire, United Kingdom Hybrid / WFH Options
Actica Consulting
critical public sector and defence organisations. As part of our team, you'll leverage technologies like Palantir, Tableau, and cloud platforms (AWS, Azure) to build scalable data infrastructure, develop machinelearning models, and create robust solutions that enhance public service delivery. Working in classified environments, you'll tackle complex challenges using tools like Hadoop, Spark, and modern visualisation … Implement data security and governance frameworks Build and maintain data APIs and services Analytics and Data Science Focus: Translate business problems into data queries and solutions Develop and deploy machinelearning models Create advanced analytics solutions Provide insights through data visualization and reporting Design and implement A/B tests and experiments Collaborate with stakeholders to understand data … business transformation programmes Designing and implementing data lakes and warehouses using cloud technologies Creating automated data pipelines for continuous data integration Implementing data governance and security frameworks Building scalable machinelearning infrastructure Collaborating with multiple departments, stakeholders, and external vendors Skills, Knowledge and Expertise We work predominantly within the UK Defence and Public Sectors so experience within those More ❯
AI, and segmentation consultancy. We use data, insights, and proprietary technology to create customer-centric strategies that drive real business impact. We have a long history of innovation in machinelearning, natural language processing, and generative AI. About STRAT7 We are part of STRAT7, a global strategic insight and customer analytics group. STRAT7 specializes in customer-centric growth … quality, actionable insights for clients. Create segmentation models using multinomial logistic regression and linear discriminant analysis. Advanced Analytics Skills Strong working knowledge of analytical techniques such as conjoint analysis, machinelearning (e.g., Random Forests, SVM), statistical methods (e.g., regression), time series, basket analysis, and unstructured data analytics. Ability to synthesize multiple data sources into meaningful insights and actionable … or Python. Experience with segmentation techniques such as k-means, latent class, hierarchical, and factor analysis. Understanding of working with market research and customer databases. Knowledge of statistics and machinelearning applications. Experience with predictive modeling using linear models, XGBoost, discriminant analysis, etc. Beneficial Skills Experience with conjoint analysis and other pricing methods. Knowledge of GDPR and data More ❯
Primesource Consulting LLP seeks a talented Data Scientist to join their team. This role involves leveraging data science to design and develop machinelearning models to address real-world business challenges. The candidate should possess a strong foundation in data science, machinelearning, and cloud-based data systems. In this role you can expect to have … with organizational objectives. Collaborate with cross-functional experts to achieve organizational goals. Communicate insights for management and operational efficiency. Ensure data ethics and preparation are integral to projects. Develop machinelearning models and algorithms for complex challenges. Code in R or Python, utilizing libraries like numpy, scipy, and pandas. Conduct exploratory data analysis, model development, and evaluation. Work More ❯
together to develop innovative DS products that deliver incremental value on the Sportsbook platform at DraftKings. As part of this role, you will be a creative thinker, utilizing data, machinelearning, and software development skills to craft high-impact best-in-class sports models that grow the business. What you'll do as a Senior Data Science Engineer … Create statistical and machinelearning models and integrate them into DS applications Collect and engineer sports data assets to assist in model development Implement the sports models and pricing engines in Python Create automatic tests to ensure model and pricing engine accuracy Collaborate closely with product, developers, QAs and delivery leads to move projects from ideation to deployment … Coach and support more junior data scientists within the team What you'll bring Highly proficient in at least one programming language, ideally Python Experience of building statistical or machinelearning models for multiple sports Understanding of data science and statistical modelling principles Experience with Kubernetes and Kafka are desirable Knowledge of MLOps principles and related tools will More ❯
Edinburgh, Midlothian, Scotland, United Kingdom Hybrid / WFH Options
Motability Operations
pieces of analyses relating to understanding and predicting customer behaviour. They will also work on turning these analyses into actionable insights which the business can use. Main Responsibilities Building MachineLearning models that provide insight into customers and helps the business predict customer behaviour around scheme misuse, EV transition and affordability. These models are essential as the business … Supporting the team in meeting ad hoc requests for customer insights from the rest of the business. Qualifications About you The ideal person will have. Strong experience in building MachineLearning models and applying Data Science techniques using python. Strong data manipulation and statistical analysis experience gained through experience working in various industries. Be able to provide clear … strong stakeholder management experience. Minimum criteria You'll need all of these. Educated to a degree standard, ideally in applied statistics/Data Science/Mathematics. Strong experience using machinelearning to solve business problems involving both structured and unstructured data. Experience of working with cloud-based data stores such as Snowflake and strong experience querying data with More ❯
Employment Type: Contract, Part Time, Work From Home
Bristol, Avon, South West, United Kingdom Hybrid / WFH Options
Motability Operations
pieces of analyses relating to understanding and predicting customer behaviour. They will also work on turning these analyses into actionable insights which the business can use. Main Responsibilities Building MachineLearning models that provide insight into customers and helps the business predict customer behaviour around scheme misuse, EV transition and affordability. These models are essential as the business … Supporting the team in meeting ad hoc requests for customer insights from the rest of the business. Qualifications About you The ideal person will have. Strong experience in building MachineLearning models and applying Data Science techniques using python. Strong data manipulation and statistical analysis experience gained through experience working in various industries. Be able to provide clear … strong stakeholder management experience. Minimum criteria You'll need all of these. Educated to a degree standard, ideally in applied statistics/Data Science/Mathematics. Strong experience using machinelearning to solve business problems involving both structured and unstructured data. Experience of working with cloud-based data stores such as Snowflake and strong experience querying data with More ❯
Employment Type: Contract, Part Time, Work From Home
Science Manager to lead a core team responsible for critical models inside their product. We're in need of a leader to manage a team of excellent Data Scientists & MachineLearning Engineers as the business continues to grow & invest in itself. Someone who can work alongside key business stakeholders, driving the development of the main product through best … in-class MachineLearning solutions. Looking for a role that combines technical brilliance with broader strategy? Check out the summary below! 💰 Salary: £120,000 + bonus 💻 Benefits: Uncapped bonus structure, work from abroad etc. 🚀 Industry/Type of business: Fintech 🏠 Remote working: Hybrid, London 🧩 Interview process: 3 stages 📢 Reporting to: Senior Engineering Manager & C-Suite 👏 Company size … manage a team of 7 MachineLearning focused Data Scientists, including senior IC's and juniors Strategic skills in planning, roadmapping & team management The hands-on classic ML skills needed to be an effective over-the-shoulder manager driving team growth & expertise (80% hands-off, 20% hands-on) Python, SQL, Snowflake etc. The ability to engage a broad More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Cognify Search
Science Manager to lead a core team responsible for critical models inside their product. We're in need of a leader to manage a team of excellent Data Scientists & MachineLearning Engineers as the business continues to grow & invest in itself. Someone who can work alongside key business stakeholders, driving the development of the main product through best … in-class MachineLearning solutions. Looking for a role that combines technical brilliance with broader strategy? Check out the summary below! 💰 Salary: £120,000 + bonus 💻 Benefits: Uncapped bonus structure, work from abroad etc. 🚀 Industry/Type of business: Fintech 🏠 Remote working: Hybrid, London 🧩 Interview process: 3 stages 📢 Reporting to: Senior Engineering Manager & C-Suite 👏 Company size … manage a team of 7 MachineLearning focused Data Scientists, including senior IC's and juniors Strategic skills in planning, roadmapping & team management The hands-on classic ML skills needed to be an effective over-the-shoulder manager driving team growth & expertise (80% hands-off, 20% hands-on) Python, SQL, Snowflake etc. The ability to engage a broad More ❯
a new Lead Data Scientist to join the team. You'll be working at the intersection of data, technology, and marketing, you’ll lead the delivery of cutting-edge machinelearning, optimisation, and analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of projects across areas such as customer … data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machinelearning models and optimisation algorithms in production environments. Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling. Mentor and guide junior … science team and its role within the wider business. What We’re Looking For Strong technical foundation with proficiency in Python, SQL, and cloud platforms. Proven experience in deploying machinelearning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such More ❯
Speechmatics is a cutting-edge applied AI Research company that is breaking down cultural barriers by building diverse and inclusive speech technology. We are looking for an experienced MachineLearning Engineer who can help us advance our automatic speech recognition (ASR) engines for Flow, our new Conversational AI companion and create interactive voice interfaces of the future that … of audio and billion parameter modelswhich train across dozens of GPUs. It's all about finding bottlenecks across our 50+ languages. Our main research focuses arelarge-scale self-supervised learning, building state-of-the-art speech pipelines and breaking ground on our own emotive text-to-speech (TTS) models. What you'll be doing Working with a diverse group … and started on projects in your first few days. In addition, having a very collaborative culture, you will often be pair programming with a colleague on streamlining our production ML pipelines, reviewing other folks' code and suggesting new ways to tackle a tough real time factor (RTF) optimisation problem, as well as brainstorming novel approaches for analysing model predictions with More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Speechmatics Limited
Speechmatics is a cutting-edge applied AI Research company that is breaking down cultural barriers by building diverse and inclusive speech technology. We are looking for an experienced MachineLearning Engineer who can help us advance our automatic speech recognition (ASR) engines for Flow, our new Conversational AI companion and create interactive voice interfaces of the future that … of audio and billion parameter modelswhich train across dozens of GPUs. It's all about finding bottlenecks across our 50+ languages. Our main research focuses arelarge-scale self-supervised learning, building state-of-the-art speech pipelines and breaking ground on our own emotive text-to-speech (TTS) models. What you'll be doing Working with a diverse group … and started on projects in your first few days. In addition, having a very collaborative culture, you will often be pair programming with a colleague on streamlining our production ML pipelines, reviewing other folks' code and suggesting new ways to tackle a tough real time factor (RTF) optimisation problem, as well as brainstorming novel approaches for analysing model predictions with More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Zachary Daniels
based platform. As Head of Data & Analytics, you'll shape and execute the enterprise data strategy, from building scalable pipelines and data lakes, to unlocking predictive analytics, AI, and machinelearning for commercial advantage. You'll lead a talented team and ensure data becomes a true driver of growth, efficiency, and customer experience across the group. Benefits You … and optimisation of Azure Synapse, Databricks, and Power BI. Drive integration of ERP, CRM, IoT, and external datasets into a single source of truth. Deliver predictive modelling, AI, and machinelearning to create measurable business value. Champion intuitive self-service analytics for business users. Implement best practice governance, ensuring compliance with GDPR, ISO 27001, and NIS2. Keep ahead … BI, with strong SQL, Python, Spark, and data modelling skills. Deep knowledge of cloud-native data architecture, data lakes, and streaming pipelines. Strong grasp of predictive analytics, AI, and machinelearning applications. Excellent stakeholder management and ability to align data initiatives with business growth. Inspirational leader who can champion a data-driven culture across a complex organisation. Apply More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Zachary Daniels
based platform. As Head of Data & Analytics, you'll shape and execute the enterprise data strategy, from building scalable pipelines and data lakes, to unlocking predictive analytics, AI, and machinelearning for commercial advantage. You'll lead a talented team and ensure data becomes a true driver of growth, efficiency, and customer experience across the group. Benefits You … and optimisation of Azure Synapse, Databricks, and Power BI.· Drive integration of ERP, CRM, IoT, and external datasets into a single source of truth.· Deliver predictive modelling, AI, and machinelearning to create measurable business value.· Champion intuitive self-service analytics for business users.· Implement best practice governance, ensuring compliance with GDPR, ISO 27001, and NIS2.· Keep ahead … BI, with strong SQL, Python, Spark, and data modelling skills.· Deep knowledge of cloud-native data architecture, data lakes, and streaming pipelines.· Strong grasp of predictive analytics, AI, and machinelearning applications.· Excellent stakeholder management and ability to align data initiatives with business growth.· Inspirational leader who can champion a data-driven culture across a complex organisation. Apply More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
ECM Selection (Holdings) Limited
3D image analysis, life sciences/bio, machinelearning, CNNs Cutting-edge researchers need the support of a PhD-qualified computer scientist with a specialty in image analysis, to work on 3D/4D (space and time) datasets in the life sciences, using a combination of image processing and machinelearning techniques. You will support equally … Python, including advanced image processing for 3D datasets, and ideally interpretation of biological (not medical) data from time series microscopy. Likely TensorFlow, Keras, PyLattice or similar. Ideally use of machinelearning, neural networks, particularly CNNs given the data involved, feature extraction and tracking. Familiarity with computer vision, cellular imaging, volumetric tiling, voxel imaging, 3D graphics (rendering), spherical harmonics More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
FDM Group
own capabilities, contribute to a robust change execution structure, and put ideas into action. Responsibilities Influence and coordinate cross-functional teams to deliver AI/MachineLearning (ML) TM solutions aligning with business needs and regulatory requirements Define and manage overall delivery roadmap, budgets, timelines, dependencies, milestones, and deliverables Oversee end-to-end testing, validation, performance monitoring, and … Drive process improvements and change management, embedding continuous feedback loops from analysis and investigators to refine detection scenarios as well as downstream investigation workflows Manage implementation of AI/ML enhancement into new products or regions, ensuring compliance, consistency and scalability Maintain strong customer and business focus, ensuring all change initiatives deliver value to the organisation, reduce investigator burden and … as Project Leader across complex, multi-stream initiatives (using Agile and/or hybrid methods) in Anti–Money Laundering (AML) and financial crime prevention Comfortable translating complex AI/ML concepts into business language, navigating competing priorities, and maintaining high standards of delivery, transparency, and control Excellent business orientation and understanding of the financial industry, preferably with deep experience in More ❯