176 jobs found

Lead Data Scientist - Financial Crime Salary: 95,000 - 120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Lead Data Scientist will play a key role in leading projects end-to-end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands-on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for: Leading data-focused projects across financial crime and fraud Analysing large datasets to identify trends, risks, and opportunities Supporting the design and improvement of monitoring and detection processes Working closely with business and technical stakeholders to deliver solutions Translating data insights into clear, actionable recommendations Supporting junior team members and contributing to overall project delivery Contributing to broader initiatives across the business where relevant What sets this apart: A mix of data science, analytics, and stakeholder engagement Exposure to a variety of clients and challenges Opportunity to influence how data is used to manage risk A pathway into a more strategic and advisory-led role What's in it for you? Competitive salary ( 95,000 - 120,000) + bonus Hybrid working Ongoing training and development Clear progression opportunities Exposure to a range of projects and clients Supportive and collaborative team environment Skills and Experience Strong background in data, analytics, or data science Experience working within financial services, risk, or fraud-related domains Ability to work with stakeholders and communicate insights effectively Experience working with modern data tools and technologies If you would like to be considered for the Lead Data Scientist Role, please apply below with your CV.

Senior Data Scientist. Are you a passionate data scientist with a knack for transforming complex data into actionable insights? Do you thrive in a vibrant environment where your analytical skills can shine? If so, we have an exciting opportunity for you. Our Client: Our client is a dynamic marketing, advertising, and public relations agency committed to delivering innovative solutions to a wide range of high profile clients. With a strong focus on data-driven strategies, our client celebrates creativity, collaboration, and excellence. What You'll Do: As a Senior Data Scientist, you will play an important role in shaping data strategy and driving impactful marketing decisions. Here's what you can expect: Lead Data Projects: Take charge of end-to-end data science projects, from hypothesis generation to model deployment. Collaborate Across Teams: Work closely with marketing, creative, and technical teams to understand their data needs and deliver tailored solutions. Innovate with Data: Use advanced statistical methods and machine learning algorithms to uncover trends, patterns, and opportunities that drive business growth. Present Insights: Communicate your findings to stakeholders in a clear and engaging manner, making data relatable and actionable. Mentor Junior Team Members: Share your expertise and guide less experienced data scientists, fostering a culture of learning and collaboration. What We're Looking For: Our client is seeking a talented individual with a blend of technical expertise and a flair for creativity. Here's what you should bring to the table: Experience: Minimum of 5 years relevant experience in data science or a related field, preferably within marketing or advertising. Technical Skills: Proficiency in Python, R, SQL, and experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn). Analytical Mindset: Strong problem-solving skills with the ability to interpret complex datasets and derive meaningful insights. Communication Skills: Excellent verbal and written communication skills, with a knack for storytelling through data. Education: A degree in Data Science, Statistics, Mathematics, or a related field (Master's or Ph.D. preferred). What you'll get in return Exciting Projects: Work on diverse and challenging projects that push the boundaries of data science in marketing. Supportive Environment: Be part of a collaborative team that values your input and encourages innovation. Career Growth: Our client invests in your professional development with opportunities for training, workshops, and conferences.

Lead Data Scientist - Financial Crime (Consulting Environment) Salary: 90,000 - 120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Lead Data Scientist will play a key role in leading projects end-to-end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands-on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for: Leading data-focused projects across financial crime and fraud Analysing large datasets to identify trends, risks, and opportunities Supporting the design and improvement of monitoring and detection processes Working closely with business and technical stakeholders to deliver solutions Translating data insights into clear, actionable recommendations Supporting junior team members and contributing to overall project delivery Contributing to broader initiatives across the business where relevant What sets this apart: A mix of data science, analytics, and stakeholder engagement Exposure to a variety of clients and challenges Opportunity to influence how data is used to manage risk A pathway into a more strategic and advisory-led role What's in it for you? Competitive salary ( 85,000 - 110,000) + bonus Hybrid working Ongoing training and development Clear progression opportunities Exposure to a range of projects and clients Supportive and collaborative team environment Skills and Experience Strong background in data, analytics, or data science Experience working within financial services, risk, or fraud-related domains Ability to work with stakeholders and communicate insights effectively Experience working with modern data tools and technologies If you would like to be considered for the Lead Data Scientist Role, please apply below with your CV.

Senior Machine Learning Data Scientist - Credit Risk 80,000- 120,000 + Bonus + Benefits (Flexibility to 150k DOE) East Midlands (Hybrid Min. 3 days) The Opportunity There are very few roles in the UK market where you can take ownership of a proven, production-grade credit risk model that is already outperforming competitors - and be given the autonomy to evolve it, refine it and directly influence commercial outcomes. This is one of them. This opportunity sits within a high-growth, data-driven financial services environment where machine learning is not theoretical or exploratory - it is embedded at the core of how the business makes decisions. At the centre of this capability is a highly accurate credit risk model, supported by rich, real-world datasets and a continuous feedback loop of internal and external lending outcomes. The model is already delivering strong predictive performance, but the real value lies in how it is developed from here. This opportunity represents a natural evolution of an already successful machine learning capability, offering the chance to take ownership of a proven model and shape its future direction. The Role This is a senior, hands-on data science role focused on credit risk modelling within a commercial lending environment. You will take ownership of the core modelling framework, working directly on probability of default models and broader decisioning logic that underpins lending strategy. The emphasis is on refinement, optimisation and continuous improvement rather than building from scratch. You will be responsible for the intellectual core of the models: Feature engineering across financial, behavioural and transactional data Algorithm selection and tuning (logistic regression, gradient boosting, ensemble methods) Model validation, performance optimisation and ongoing recalibration Ensuring models remain robust in changing economic conditions You will not be responsible for infrastructure, pipelines or deployment. A dedicated engineering team manages AWS and production environments, allowing you to focus on modelling and analytics. This is a highly visible role with direct exposure to senior stakeholders. You will be expected to explain model performance, justify modelling decisions and translate technical outputs into clear commercial insight. The Environment This is a business that understands the value of data but is still at a stage where impact is direct and visible. There is: No large data science hierarchy No separation between thinking and execution No dilution of responsibility across multiple teams You will operate as the central subject matter expert within a collaborative technical environment, with the autonomy to influence both modelling direction and commercial outcomes. Over time, there is a clear pathway to build out a team and evolve into a leadership role. However, the immediate focus is on hands-on ownership and delivery. What This Role Is Not This role will not suit individuals who: Have moved fully into leadership and no longer build models themselves Prefer purely strategic or advisory positions without technical ownership Are focused on infrastructure, MLOps or engineering rather than modelling Want a large team or established function around them from day one This is a role for someone who wants to remain close to the detail and take responsibility for outcomes. The Ideal Profile You are a hands-on machine learning data scientist with deep experience in credit risk modelling. You are currently building, refining and optimising models yourself, not delegating that work. You are likely to have developed your career within: SME lending, fintech or banking environments Credit risk, underwriting or decision science functions You will have: Strong experience building probability of default or credit scoring models Advanced Python capability Experience with algorithms such as logistic regression, XGBoost, LightGBM or similar A strong understanding of model evaluation (ROC-AUC, Gini, precision/recall) Experience working with complex financial or behavioural datasets You understand how your work impacts: Approval rates Default risk Commercial performance You are comfortable discussing modelling decisions in depth with technical stakeholders, but equally able to simplify complex concepts for non-technical audiences. Qualifications You will typically have a strong academic foundation in a quantitative discipline such as Mathematics, Statistics, Data Science, Engineering, Physics or a closely related field. Many candidates at this level will hold a Master's degree or equivalent advanced qualification, although this is not essential where there is clear evidence of deep practical expertise in credit risk modelling and machine learning. What is critical is a strong grounding in mathematical thinking, statistical modelling and problem solving, combined with the ability to apply that knowledge in a commercial environment. Why This Role Stands Out Ownership of a high-performing, production-grade credit risk model Access to rich, real-world data with continuous feedback loops Direct influence on lending decisions and commercial performance Strong engineering support, allowing full focus on modelling High visibility with senior leadership Clear pathway to future Head of AI / Machine Learning role Opportunity to shape the next phase of a proven data capability Package & Flexibility 80,000- 120,000 base salary Bonus up to 15% Flexibility to 150,000 for exceptional candidates Hybrid working (East Midlands, typically 2-3 days onsite with flexibility)

AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13119 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13118 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

AI Engineer Salary: up to £65,000 Location: UK based - Midlands preferred, but remote considered Type: Permanent I'm working with a growing fintech/scale-up that is building AI into a customer-facing product used within the affordability and financial services space. They already have an AI virtual assistant within the platform, but until now a lot of the specialist AI work has sat with an external partner. They've reached the point where they want to start bringing that capability in-house and are looking for someone who can help them build on what is already there. This is not a role for someone who wants to train their own LLM from scratch. It is more about taking existing LLMs and AI services, understanding how to use them properly, and building useful product features around them. The business is fairly open-minded on level. You might be a graduate with a year or two of experience, a Python developer who has started moving into AI, a Machine Learning Engineer, or a Data Scientist with stronger engineering habits. They are not expecting someone to have ten years of LLM experience, because realistically very few people do. What they do need is someone bright, practical and genuinely interested in building AI that works in the real world. You'll be working on the AI side of a product that helps users complete income and expenditure journeys. In simple terms, the customer can either fill in the form themselves, or interact with the virtual assistant, which helps capture and complete the information for them. That means the AI work has to fit into a wider software product. It needs to connect with the front end, work safely, be tested properly, and be built with security in mind from the start. The role will involve: Building and improving AI/LLM features using Python Creating quick proof of concepts to test ideas Taking the right ideas further into production Working with existing LLMs, APIs and AI services Thinking about guardrails, safety, hallucination risk and validation Building software in a secure way, particularly given the regulated nature of the product Supporting automated testing rather than treating testing as an afterthought Working in a DevOps environment where builds, releases and deployments are automated Understanding how the AI module fits into the wider product and customer journey The key things they are looking for are: Strong Python skills A good general understanding of LLMs Some exposure to GenAI, chatbots, NLP, RAG, prompt engineering or similar An interest in AI guardrails and responsible use of AI Good software engineering principles Awareness of security in modern development A willingness to test properly and automate where possible Some understanding of cloud platforms - Azure would be ideal, but AWS or GCP is fine The ability to learn quickly and work out the right way to use new technologies It would also be useful if you had experience with JavaScript, deep learning, LangChain, LlamaIndex, Azure OpenAI, OpenAI APIs or similar tools, but none of these are absolute requirements. This is probably best suited to someone who wants more ownership than they may get in a larger business. You'll be close to senior technology leadership, close to the product, and involved in shaping how AI is used rather than just being handed small pieces of work. The most important thing is mindset. They want someone who can build, test, learn quickly, and stay focused on why the feature is being built in the first place.

Principal AI Scientist - Learning & Assessment AI Location: UK Remote (Candidates must be UK based) Salary: 110,000 - 125,000 Employment Type: Permanent The Opportunity We're working with an innovative technology-led organisation that is transforming how AI is used within learning, assessment, and workforce skills development. They are seeking a Principal AI Scientist to lead the scientific design, validation, and evolution of next-generation AI-powered assessment and learning solutions embedded directly into the flow of work. This is a senior individual contributor role suited to someone with deep expertise across AI/ML, psychometrics, measurement science, and production-scale intelligent systems. The successful candidate will operate as a scientific authority within the organisation, shaping methodology, influencing product direction, and ensuring AI-driven solutions are fair, explainable, scalable, and scientifically rigorous. The role offers the opportunity to work at the intersection of modern AI systems, applied research, and enterprise-scale product delivery. The Role As Principal AI Scientist, you will take ownership of the scientific and methodological direction of AI-enabled learning and assessment products. You will work closely with product leadership, engineering teams, data scientists, and domain experts to translate advanced research into production-ready systems that deliver measurable user and business outcomes. This position requires someone comfortable operating in highly complex environments with significant technical, ethical, and commercial considerations. Key Responsibilities Scientific Leadership & Product Ownership Lead the scientific strategy for AI-enabled assessment, learning, and skills products Define robust methodologies balancing innovation, scalability, fairness, validity, and explainability Act as the senior scientific authority for assessment and measurement decisions Establish scientific standards, reusable frameworks, and evaluation methodologies Lead validation studies to ensure reliability, consistency, fairness, and performance stability Define and monitor scientific KPIs including drift detection, bias indicators, and model effectiveness Identify and mitigate scientific and measurement risks associated with AI systems at scale AI, Machine Learning & Modern AI Systems Apply AI and machine learning techniques, including LLMs and foundation models, to learning and assessment use cases Support development of AI-powered capabilities such as: Skills inference Adaptive assessment Automated content generation AI-driven feedback and reasoning systems Contribute to the evaluation and governance of agentic AI workflows Partner with engineering teams to ensure scientific integrity is maintained throughout implementation and deployment Support lifecycle monitoring and continuous improvement of production AI systems Research, Innovation & Strategic Influence Translate research findings into scalable, commercially viable product capabilities Produce thought leadership content including whitepapers and scientific insights Influence product and AI strategy through scientific expertise and evidence-based recommendations Support internal and external discussions around responsible AI and ethical AI implementation Engage with enterprise stakeholders and senior leadership on scientific and AI-related topics Required Experience Advanced degree (MSc or PhD preferred) in: Psychometrics Educational Measurement Statistics Machine Learning Artificial Intelligence Data Science Or equivalent commercial experience Proven experience building or leading AI-enabled assessment or measurement systems Deep expertise in validation methodologies, statistical modelling, and measurement theory Strong applied experience with machine learning and AI systems in production environments Practical understanding of modern AI architectures including Large Language Models (LLMs) Experience collaborating closely with engineering and product teams Ability to influence technical and strategic decisions through expertise rather than direct authority Experience operating in complex, high-ambiguity environments with significant business or ethical risk considerations Desirable Experience Experience applying LLMs within learning, workforce skills, or assessment products Exposure to adaptive testing, continuous assessment, or automated item/content generation Experience evaluating or governing AI agentic workflows Background within learning technology, education technology, workforce development, or skills ecosystems Experience working on enterprise-scale or long-lived AI platforms What They're Looking For A scientifically rigorous thinker with strong commercial awareness Someone passionate about responsible and explainable AI Comfortable balancing research innovation with practical delivery Strong communicator able to work across technical and non-technical audiences A collaborative leader who enjoys solving complex real-world problems Package 110,000 - 125,000 salary Fully remote role within the UK High-impact position within a cutting-edge AI environment Opportunity to influence next-generation AI products at scale Please note: Applicants must be based in the UK. Sponsorship is not available for this position.

Data Scientist Cardiff / Hybrid Engineering AI & Predictive Analytics We're supporting a growing engineering business looking to hire a Data Scientist to help develop scalable ML and AI solutions across compliance, risk and contractor analytics platforms. You'll work closely with AI Engineers, Data Engineers and DevOps teams to build and deploy predictive models and LLM-powered solutions in production environments across AWS and Azure. The Role This is a hands-on opportunity to work on modern AI and machine learning initiatives that directly support operational performance, compliance and risk management. You'll be involved in the full model lifecycle from data ingestion and feature engineering through to deployment, optimisation and monitoring. Key Responsibilities Develop machine learning models for risk scoring, churn prediction and contractor analytics Build LLM and NLP solutions for automated compliance checks and insight generation Deploy AI and ML models into cloud-based production environments Work with Microsoft Fabric for data ingestion, transformation and feature engineering Improve model monitoring, retraining and optimisation processes Collaborate closely with engineering and product teams in agile delivery squads Communicate technical solutions clearly to non-technical stakeholders Contribute to best practices around coding standards, maintainability and AI-assisted development Tech Stack Python, SQL, TensorFlow, PyTorch, AWS, Azure, Microsoft Fabric, NLP, LLMs, MLOps What We're Looking For Strong commercial Data Science experience Experience building and deploying ML models into production Strong understanding of predictive modelling, NLP and LLM architectures Cloud experience with AWS and/or Azure Experience with Python, SQL and modern ML frameworks Strong communication and stakeholder management skills Ability to work collaboratively in agile engineering teams Desirable Experience Risk modelling or compliance analytics Supply chain or operational analytics MLOps and CI/CD pipelines Data governance or regulatory environments Why Apply? You'll join a collaborative engineering environment working on genuinely impactful AI projects with modern tooling and cloud technologies. This is an opportunity to help shape the future direction of AI capability within a growing business while working on real-world applications of LLMs and predictive analytics.

Develop infrared imaging systems for object detection and characterisation This high-growth startup in the defence and security sector is seeking an experimental physicist to work on infrared detection systems. You will build and operate their experimental systems working on all aspects of the design from sensor selection and optical design through to signal processing and data analysis. Your work will directly translate to the technologies and products of the company, and your insights will shape their future research direction. Requirements: Strong hands-on skills building and troubleshooting optical and electronic systems using infrared sensors or detectors. Specific experience with thermal imaging or Long-wave / Medium-Wave / Short-Wave IR would be beneficial but is not required. Good knowledge of signal processing and data analysis methods in the context of imaging processing and object detection. PhD in Physics (or equivalent commercial experience) supported by a top undergraduate degree in Physics (Oxford, Cambridge, Imperial or equivalent). UK national or previous UK security clearance. This is a defence company, and this role requires applicants to be eligible for UK security clearance. This is a great opportunity to further your career working on technically challenging problems with real-world impact. You ll be working alongside other scientists and engineers developing cutting-edge technologies in a stimulating research environment. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27652 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

Data & AI Delivery Senior Manager/Associate Director Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13121 Senior Data & AI Delivery professionals are required to lead the delivery of complex data transformation and AI programmes within financial services and capital markets environments. You will bring experience delivering large scale data and AI initiatives within complex environments and play a key role in shaping delivery strategy, leading teams and driving transformational change, helping organisations solve complex operational, technical and business challenges through data and AI adoption. You will work across multidisciplinary teams, collaborating with Data Engineers, AI Engineers, Architects, Data Scientists and senior stakeholders to drive programme delivery, shape solutions and support organisations through complex transformation initiatives. Key responsibilities: Leading the delivery of complex data and AI transformation programmes across multiple workstreams Managing multidisciplinary teams to deliver business critical technology outcomes Collaborating directly with clients to understand challenges and shape tailored solutions Translating technical requirements into business outcomes and delivery plans Managing programme risks, dependencies, timelines and stakeholder expectations Supporting the implementation of modern data platforms and AI driven solutions Providing technical guidance and oversight across delivery teams Building and maintaining strong relationships with client and business stakeholders Supporting programme governance, reporting and communication across large initiatives Applying market and industry knowledge to help shape client strategies and solutions Supporting pre sales activity, technical proposals and client presentations Coaching and mentoring team members across multidisciplinary environments Experience Required: Experience delivering large scale data, AI or technology transformation programmes Background within consulting, programme delivery, implementation or transformation environments Experience leading teams across complex projects and multiple workstreams Strong communication and stakeholder management skills with the ability to bridge technical and business audiences Experience gathering requirements and shaping solutions aligned to business objectives Understanding of AI technologies, modern data platforms and data management principles Knowledge of data governance, data quality and data strategy concepts Familiarity with delivery methodologies including Agile, Waterfall or SAFe Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants to work on high impact data and AI transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

Senior AI Engineer Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

Commercial Partnerships Manager Remote working with occasional travel throughout the UK At a time when the future of medical research is being transformed, the partnerships that power progress have never mattered more. This is your chance to build influential collaborations and help accelerate the transition to animal-free research. Who We Are Animal Free Research UK is the leading charity working to create a world where human diseases are cured faster without animal suffering. By pioneering excellence, inspiring and supporting scientists and influencing change, we are ending the use of animals and improving medical research. By 2040, we aim to transform medical research and regulation in the UK so that the development of treatments for human diseases can be entirely animal-free and breakthroughs can be achieved faster. The Centre for Human Specific Research has been created to facilitate a step change in the adoption of human-specific technologies across academia, industry and policy. The Centre brings together scientists, innovators and decision-makers, raising awareness of advances in human-relevant research, supporting collaboration and advocating for the systemic changes needed to modernise medical science. We are now looking for a Commercial Partnerships Manager (Human-Relevant Science) to join us on a full-time, permanent basis, working 35 hours per week. What You ll Gain In return for your incredible work, you ll find a role where your contribution truly matters, alongside: - Salary of c.£40,000 per annum - Pension - 30 days annual leave plus bank holidays - The chance to join a charity that places ethics at the heart of science This is an incredible opportunity for a partnerships professional with experience in scientific or technical account management and a talent for turning complex scientific value into compelling partnership opportunities to join our pioneering organisation. You ll have the chance to help accelerate the transition to animal-free science, building collaborations that support faster breakthroughs for patients and a better future for animals. What s more, this remote role offers the flexibility to do meaningful, high-impact work, with occasional travel and out-of-hours working for conferences and events. We are committed to your growth you'll be supported to stay current with developments in antibody science, animal-free technologies and best practice in partnerships and account management. So, if you re ready to build relationships that could help transform the future of science, read on and apply today! Your Impact As our Commercial Partnerships Manager, you will drive impactful collaborations and partnerships that accelerate the transition to human-specific research methods and strengthen the reach and influence of the Centre for Human Specific Research. Leading the development of high-value scientific and commercial partnerships, you will secure sponsorships, grow supplier relationships and generate income to support key initiatives, including attending conferences and events. You will be accountable for delivering against agreed annual income targets, maintaining strong partner retention and building a robust pipeline of prospective partners. To achieve this, you will position the Centre as a trusted partner that works closely with stakeholders to align scientific innovation with meaningful real-world impact. You will also take ownership of the antibodies database to ensure it is a core commercial platform. Ensuring it is accurate, comprehensive and widely used, you will use data and insights to grow partnerships, enhance engagement and continuously refine the organisation s offer. Additionally, you will: - Build and manage relationships with animal-free and human-specific suppliers - Identify opportunities to grow the database and supplier engagement - Collaborate with marketing and science teams on campaigns and messaging - Represent the Centre with partners, suppliers and stakeholders - Monitor partnership performance, income and retention - Work collaboratively across all departments to ensure alignment, share insight and maximise opportunities to support organisational priorities and impact - Work in a matrix with the B2B Marketing Manager on supplier-facing messaging, campaigns and conference packages What You ll Bring To be considered as our Commercial Partnerships Manager, you will need: - Experience of business development, partnerships or account management, including delivering against income or growth targets - Experience managing partnerships or key accounts in a scientific or technical context - Experience prospecting, pitching and closing partnership or sponsorship opportunities - Experience working with CRM or partnership management systems for logging interactions and tracking pipelines - Confidence communicating with scientists and commercial teams - The ability to translate scientific value into clear partnership offers - The ability to interpret complex scientific information and present it clearly to mixed audiences - To be educated to degree level or have equivalent experience in a relevant field (e.g. life sciences, biomedical sciences, or related) Closing date: Sunday 31st May 2026, midnight First-round interviews: Held via Microsoft Teams, Monday 8th Friday 12th June 2026 Second-round interviews: Held via Microsoft Teams, Monday 15th Friday 19th June 2026 Other organisations may call this role Partnerships Manager, Research Partnerships Manager, Strategic Partnerships Manager, Science Partnerships Lead, Research and Partnerships Manager, or External Partnerships Manager. Webrecruit and Animal Free Research UK are equal opportunities employers, value diversity and are strongly committed to providing equal employment opportunities for all employees and all applicants for employment. Equal opportunities are the only acceptable way to conduct business and we believe that the more inclusive our environments are, the better our work will be. So, if you re ready to step into a role with genuine purpose as a Commercial Partnerships Manager, please apply via the button shown. This vacancy is being advertised by Webrecruit. The services advertised by Webrecruit are those of an Employment Agency.

Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

Lead Data Scientist £Up to £125000 GBP Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Reference: AMC/ERO/ Lead Data Scientist Postcode: SW1 JBG81_UKTJ . click apply for full job details

We're looking for a Data Scientist to join our Data Analytics and Business Intelligence Team. We're a charity with a bold new strategy to Restore Nature, Inspire Millions and End Unequal Access to Nature and Heritage. We care for land and properties across England, Wales and Northern Ireland, making them accessible to as many people as possible and protecting these special places for future generations. Running a such a large and complex organisation requires us to build insight into how we are doing. Using data science, we can better understand our audiences, help to make the most of funding opportunities, and automate processes so that our teams are freed up to welcome visitors and protect our places. The Data Analytics and Business Intelligence team do this, analysing the data we hold, sharing insights with teams, and creating a culture where strategic decisions are made using robust data and analysis. What it's like to work here The Data Team are a central team, and we play a key role in supporting the delivery of our People and Nature Thriving strategy. You'll be joining a team that does analysis to support all areas of the National Trust. We're motivated and inspired by our mission and work hard to provide insights that will result in real change for our colleagues, our supporters and our places. With over 5 million members, and land from the White Cliffs of Dover to Giant's Causeway, our work is varied and interesting. Your contractual location will be our head office in Swindon and there will be an expectation for you to attend the office. However, there is flexibility on where you are based at other times. You will be required to work at a National Trust location for 40-60% of your working week. This will be discussed in more detail at interview. What you'll be doing You'll help unlock the value of data by applying advanced analytics, machine learning and statistical modelling to inform decision-making. As part of the wider data team, you'll build scalable data and analysis pipelines while strengthening capability across the organisation through mentoring and advocacy. Working closely with the Data Analytics and BI Manager, you'll support a strong analyst community, combining technical expertise and clear communication to drive impactful insights and shape the organisation's data science approach. You can view the full role profile for this role in the document attached. You don't need to have all of the knowledge, skills and experience listed in the role profile; this is just to provide a full picture of what's possible in this role. Who we're looking for: Strong understanding of machine learning, AI and statistical modelling techniques Understanding of enterprise data platforms such as Snowflake Excellent communication skills with the ability to explain complex ideas simply and accurately Ability to influence and advocate for data science at all levels of the organisation Proven experience of delivering impactful data science projects in a complex organisation Track record of building tools, dashboards or models that are adopted and used by others The package The National Trust has the motto 'For everyone, for ever' at its heart. We're working hard to create an inclusive culture, where everyone feels they belong. It's important that our people reflect and represent the diversity of the communities and audiences we serve. We welcome and value difference, so when we say we're for everyone, we want everyone to be welcome in our teams too. Substantial pension scheme of up to 10% basic salary Free entry to National Trust places for you, a guest and your children (under 18) Rental deposit loan scheme Season ticket loan EV car lease scheme (for roles that meet the salary criteria) Perks at work discounts such as gym memberships, shopping discount codes, cinema discounts Holiday allowance up to 32 days relating to length of service, plus holiday purchase scheme, subject to meeting minimum criteria. Flexible working whenever possible Employee assistance programme Free parking at most Trust places

Are you a Data Scientist who enjoys building real-world models that drive commercial decisions , not just experimentation? I'm hiring for a Data Scientist to join a leading data and analytics consultancy working across customer insight, marketing, and predictive modelling. This is a brilliant opportunity to work on high-impact data products , combining advanced analytics, business understanding, and client-facing delivery in a collaborative, product-focused environment. The company This is a well-established data consultancy that sits at the intersection of data provision, analytics, and product development . They work with high-volume customer data across sectors like utilities, telecoms, financial services, and charities - using data to solve real commercial problems and drive better decisions. They've built out a Customer Intelligence Platform , where data science, analytics, and product teams collaborate to create scalable, reusable data products. Where you fit You'll sit within the Data Science team , working closely with Product Managers, Data Analysts, and subject-matter experts. This is a hands-on modelling role with strong client interaction , where you'll take problems from discovery through to delivery - combining technical expertise with commercial thinking. What you'll be doing Build predictive models (often propensity modelling / scoring models ) to solve real customer and business problems Work directly with clients to understand challenges, run discovery sessions, and shape analytical approaches Develop and refine models, including training, testing, and optimisation Lead rapid prototyping and proof-of-concept work using Databricks notebooks Define features, model structures, and scoring outputs for data products Translate analytical outputs into clear, actionable insights and presentations for clients Contribute to the development of scalable, reusable data products within the platform Example project You might build a model that predicts which customers are most likely to repay debt , then segment them to determine the best engagement strategy - using behavioural and demographic patterns to optimise outcomes. Tech stack Python & SQL (essential) Databricks (core analytics environment) Azure-based data platform (with flexibility depending on client environments) What you bring Must-haves 3+ years experience in data science Strong Python and SQL skills Experience building and evaluating predictive models Understanding of data modelling and feature engineering Ability to translate data into clear commercial insight and recommendations Confident communicator - comfortable working directly with clients Consultancy or client-facing experience Nice to have Experience with Databricks or cloud platforms (Azure, etc.) Background in customer, marketing, or transactional data Exposure to industries like telecoms, financial services, or utilities Why this role Work on end-to-end data science projects - not just isolated modelling Strong balance of technical work and commercial impact Opportunity to contribute to product development and innovation Exposure to multiple clients, industries, and use-cases Collaborative team environment with analysts, SMEs, and product teams Working pattern Hybrid: 1 day per week in London Open to candidates based in the Midlands who can commute weekly Additional flexibility for the right candidate UK travel to clients may be required depending on project work

Senior Bioinformatics Developer - Synthetic Biology We are searching for a senior bioinformatics developer for our biology-based tech client in Cambridge. This is a newly created role with plenty of opportunity to grow and earn more responsibilities as the company expands. You will be developing complex bioinformatic algorithms that categorise huge amounts of data that is being produced by the company's latest product. The company's product is at the intersection of science and engineering which means it will be a truly multidisciplinary team of fellow scientists and engineers, all working together on this ground-breaking product. You will be utilising your software skills to design and develop sequencing tools and algorithms which will integrate with lab systems and support tools, as well as searching for and validating open source bioinformatics tools. You will also build an understanding of user lab processes and workflows and help develop cloud-based workflows to support the biology and chemistry research teams. This is a great opportunity to join a company and make a real difference with your knowledge and experience, leading bioinformatics projects from day one. We are looking for senior scientists who have developed code in Python coupled with experience in the bioinformatics field. This will be complemented by an engineering or science related degree and experience with cloud computing. Any prior knowledge of experimental NGS data would be advantageous to your application, as would hands-on knowledge of Bash. The client is offering competitive salaries as well as a comprehensive benefits package that includes share options and a variety of other benefits. For more information, please call Matthew Lowdon of Newton Colmore Consulting on (phone number removed) or make an application and one of our team will be in touch. Newton Colmore Consulting is a highly specialist recruitment consultancy operating within the medical devices and biotechnology field. We help our clients find the expert engineers and scientists they need to develop and commercialise ground-breaking technologies. Key words: Data Scientist, Machine Learning, Bioinformatics, Medical Devices, Engineering, Physics, ISO 13485, Biotechnology

Experimental Physicist Infrared Detection Systems An innovative technology company based in the Greater Cambridge area is seeking a talented and motivated Experimental Physicist to join a growing research and development team focused on infrared detection and characterisation technologies. The Role You will design, build, and operate experimental systems for infrared detection, working across the full development pipeline from sensor selection and optical design through to signal processing and data analysis. The role offers the opportunity to contribute to cutting-edge research and help shape the direction of future development programmes. You will collaborate closely with a multidisciplinary team of scientists and engineers to develop and refine advanced detection techniques for real-world applications. Key Requirements Degree in Physics, Applied Physics, or a closely related discipline (PhD preferred, but not essential depending on experience) Hands-on experience with infrared sensors, detectors, or imaging systems Strong experimental and laboratory skills, including building and troubleshooting optical and electronic systems Familiarity with signal processing and data analysis, ideally within a detection or imaging environment Practical, methodical problem-solving approach with strong attention to detail Good communication skills and ability to work effectively within a collaborative team Desirable Experience Radiometry and photometry Thermal imaging or LWIR/MWIR/SWIR systems Optical modelling and simulation Experience within defence, security, industrial sensing, or related sectors What s on Offer A technically stimulating and research-focused environment Competitive salary and benefits package Opportunity to work on challenging projects with meaningful real-world impact Career development within a high-growth technology organisation Interested? Please Click Apply Now! Experimental Physicist Infrared Detection Systems