Datatech

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)

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)

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)

Data & AI Delivery Consultant Manchester About the Role A leading consulting and technology firm is seeking a Data & AI Delivery Consultant to join their team in Manchester on a hybrid basis. This is a senior-level opportunity open to candidates at Manager through to Associate Director level focused on delivering large-scale Data and AI transformation programmes for major Financial Services clients. You will work directly with senior banking stakeholders, leading complex programmes that span data, AI, governance, and organisational change, translating technical complexity into measurable business outcomes. Key Responsibilities - Lead end-to-end delivery of large-scale data and AI transformation programmes - Manage cross-functional teams spanning both business and technology workstreams - Drive implementation, remediation, and advisory activities across the programme lifecycle - Partner with senior client leadership to align delivery to strategic objectives - Translate technical requirements and data platform capabilities into clear business outcomes What We're Looking For - A proven track record delivering large-scale data or AI programmes in complex environments - Strong programme leadership and senior stakeholder management skills - Experience working within banking or regulated Financial Services - Solid understanding of modern data platforms and AI transformation approaches - Excellent communication and consulting skills, with the ability to operate at board and C-suite level - Familiarity with technologies such as Azure, AWS, GCP, Databricks, Snowflake, Power BI, Python, and SQL - Experience working within Agile or SAFe delivery frameworks; proficiency with Jira and Confluence is advantageous

AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13117 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 - FS Consulting A leading consulting and technology firm is seeking experienced AI Solution Architects and Technical AI Leaders to help shape enterprise AI and GenAI strategy for major banking clients. Based in Scotland on a hybrid working model, these roles focus on moving AI beyond proof of concept into secure, production-grade deployment across regulated financial environments. Key Responsibilities Design AI and GenAI architecture strategies and roadmaps that align with enterprise objectives. Build scalable AI/ML and Agentic AI platforms, working across large language models (LLMs), retrieval-augmented generation (RAG), embeddings, and semantic search. Support AI deployment, governance, and integration patterns, and advise clients on platform capability and implementation strategy. Collaborate closely with engineering, data, DevOps, and business teams to deliver end-to-end solutions. Tech Environment Python, LLMs (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, MLOps/LLMOps, AWS, Azure, GCP, Databricks, Kubernetes, and GPU infrastructure. What We're Looking For Proven experience designing enterprise AI or ML architectures, with a strong understanding of cloud and modern data platforms. Demonstrable exposure to scalable AI deployment and integration patterns is essential, as is experience within financial services or another regulated industry. Strong stakeholder engagement and communication skills are required, with the ability to advise at a senior client level. Seniority levels considered range from Manager to Associate Director, and applications from candidates across this spectrum are welcomed.

AI Solution Architects & Technical AI Leaders Manchester Hybrid AI Solution Architect Financial Services (Hybrid) Join a leading consulting and technology firm shaping enterprise AI and GenAI strategy for major banking clients moving AI beyond proof of concept into secure, production-grade deployment. The role: - Design AI and GenAI architecture strategies and roadmaps - Build scalable AI/ML and Agentic AI platforms - Work across LLMs, RAG, embeddings and semantic search - Support AI deployment, governance and integration patterns - Collaborate with engineering, data, DevOps and business teams - Advise clients on AI platform capability and implementation strategy Tech environment: Python LLMs (prompt engineering, fine-tuning, RAG) LangChain/LangGraph Agent frameworks Vector databases MLOps/LLMOps AWS/Azure/GCP/Databricks Kubernetes & GPU infrastructure What you'll bring: - Experience designing enterprise AI or ML architectures - Strong grasp of cloud and modern data platforms - Exposure to scalable AI deployment and integration patterns - Financial Services or regulated industry experience (essential) - Strong stakeholder engagement and communication skills Levels:Manager to Associate Director Open to a confidential chat about the AI architecture market? Apply or get in touch directly.

AI Engineers & Technical AI Leaders Scotland Hybrid AI Engineer Financial Services (Hybrid) Join a leading consulting and technology firm building production-grade AI solutions across banking, risk, fraud and enterprise platforms. The role: - Build AI-enabled platforms and intelligent workflows - Work with LLMs, RAG pipelines and embedding models - Develop scalable backend services and AI integrations - Collaborate across engineering, architecture and business teams - Support AI deployment, governance and operational rollout Tech environment: Python/SQL LLMs (prompt engineering, fine-tuning, RAG) LangChain/LangGraph Agent frameworks Vector databases FastAPI/APIs AWS/Azure/GCP/Databricks CI/CD, MLOps/LLMOps What you'll bring: - Strong software or data engineering foundations - Experience delivering AI or AI-enabled solutions - Exposure to cloud and modern data platforms - Financial Services or regulated industry experience (essential) - Strong communication and stakeholder skills Levels: Engineer to Senior Manager Open to a confidential chat about the market? Apply or get in touch directly.

Data & AI Delivery Consultancy - FS Scotland A leading consulting and technology firm is seeking a Data & AI Delivery Consultant to join their team in Manchester on a hybrid basis. This is a senior-level opportunity open to candidates at Manager through to Associate Director level focused on delivering large-scale Data and AI transformation programmes for major Financial Services clients. You will work directly with senior banking stakeholders, leading complex programmes that span data, AI, governance, and organisational change, translating technical complexity into measurable business outcomes. Key Responsibilities - Lead end-to-end delivery of large-scale data and AI transformation programmes - Manage cross-functional teams spanning both business and technology workstreams - Drive implementation, remediation, and advisory activities across the programme lifecycle - Partner with senior client leadership to align delivery to strategic objectives - Translate technical requirements and data platform capabilities into clear business outcomes What We're Looking For - A proven track record delivering large-scale data or AI programmes in complex environments - Strong programme leadership and senior stakeholder management skills - Experience working within banking or regulated Financial Services - Solid understanding of modern data platforms and AI transformation approaches - Excellent communication and consulting skills, with the ability to operate at board and C-suite level - Familiarity with technologies such as Azure, AWS, GCP, Databricks, Snowflake, Power BI, Python, and SQL - Experience working within Agile or SAFe delivery frameworks; proficiency with Jira and Confluence is advantageous

We're hiring AI Engineers and Technical AI Leaders in Manchester A leading consulting and technology firm is growing its AI capability across financial services and they're looking for engineers who build things that actually make it to production. You'll be working on intelligent platforms, LLM-powered workflows, and RAG pipelines across banking, risk, fraud, and enterprise environments. Think Python, LangChain, vector databases, FastAPI, and cloud platforms like AWS, Azure, and Databricks. What matters most: Solid software or data engineering foundations Hands-on experience delivering AI solutions end to end Exposure to regulated or financial services environments The ability to communicate clearly with both technical and business stakeholders Roles are open across multiple levels from Engineer through to Senior Manager so whether you're looking to grow or to lead, there could be a fit here. Based in Manchester with a hybrid setup. Interested, or just curious about the market? Apply below or send a direct message for a confidential conversation.

AI Engineer - FS consulting London A leading consulting and technology firm is seeking AI Engineers and Technical AI Leaders to join their team in London on a hybrid basis. The business delivers production-grade AI solutions across banking, risk, fraud and enterprise platforms, and is growing its engineering capability across multiple seniority levels, from Engineer through to Senior Manager. Key Responsibilities In this role you will design and build AI-enabled platforms and intelligent workflows, working with large language models (LLMs), retrieval-augmented generation (RAG) pipelines and embedding models. You will develop scalable backend services and AI integrations, collaborating closely with engineering, architecture and business teams throughout. You will also support AI deployment, governance and operational rollout to ensure solutions are production-ready and compliant. What We're Looking For The ideal candidate will bring strong foundations in software or data engineering, combined with hands-on experience delivering AI or AI-enabled solutions in a professional environment. You should have exposure to cloud platforms and modern data infrastructure, and experience working within Financial Services or another regulated industry is essential. Technical skills relevant to this role include Python and SQL, LLM development techniques such as prompt engineering, fine-tuning and RAG, frameworks including LangChain and LangGraph, agent frameworks, vector databases, FastAPI, and cloud platforms such as AWS, Azure, GCP or Databricks. Familiarity with CI/CD, MLOps and LLMOps practices is also expected. Strong communication skills and the ability to engage effectively with stakeholders across technical and business functions are important at all levels.

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)

Lead Data Engineer - London London Hybrid - Monday to Thursday in the office. Friday work from home Salary 85,000- 95,000 dependent on experience Ref J13147 Build the function. Lead the team. Stay hands on. Join a fast-growing AI SaaS business where Data Engineering sits at the heart of the platform. This is an opportunity to join at a pivotal stage of the company's growth. As Lead Data Engineer, you'll shape and scale the Data Engineering function, define engineering standards and build a high-performing team, while remaining hands on with the technology that powers innovative AI products. As the business continues to grow, the vision is for this role to evolve into the leadership position responsible for the wider Data Engineering function, making it an excellent opportunity for someone who enjoys leading from the front and wants to grow their career without stepping away from technology. What you'll be doing Leading, mentoring and growing a team of Data Engineers Designing and building scalable data pipelines and cloud based data platforms Developing robust ETL and ELT solutions using Python and SQL Defining engineering standards, data models and best practice Driving CI/CD, automation and modern engineering practices Collaborating with AI engineers to productionise machine learning and AI solutions Exploring how AI can enhance engineering productivity, quality and delivery What you'll bring Strong experience with Python and SQL Expertise building modern data platforms on Azure, AWS or GCP Strong ETL and ELT engineering experience Data modelling and data warehousing expertise CI/CD, Git and engineering best practice Previous experience leading, mentoring or developing engineers Why join? Build and shape a Data Engineering function from the ground up, with the opportunity to grow into the future Head of Data Engineering as the team expands. Stay technically hands on while leading a high performing team Work on innovative AI and data products solving real business challenges Collaborate with experienced engineers, architects and AI specialists in a supportive environment where ideas are valued and learning is encouraged If you're looking for a role where you can influence technical direction, build great engineering practices and remain close to the technology, we want to hear from you. 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 Data Engineer London Location: London (Hybrid 4 days in office: Monday, Tuesday, Wednesday) Salary: 55,000 75,000 (DOE) Ref: J13073 A fast-growing AI SaaS company is building the data backbone behind its analytics and machine learning products and is looking for a Senior Data Engineer to take ownership of this critical layer. You'll work at the centre of a modern, cloud-based data platform, designing scalable pipelines and data models that turn large, complex, and often messy datasets into reliable, production-grade data products. A key requirement for this role is strong, production-level SQL expertise. You'll be building and optimising complex SQL transformations at scale, ensuring data is accurate, performant, and trusted across analytics and ML use cases. The environment is modern and cloud-first, with exposure to Spark, Snowflake, and BigQuery across AWS, GCP, and Azure. You'll also collaborate closely with product, analytics, and machine learning teams and contribute to improving engineering standards. Key Responsibilities Build and maintain scalable, production-grade data pipelines Own end-to-end data workflows from source to production Write and optimise advanced SQL transformations at scale Work with complex, imperfect, high-volume datasets Improve data quality, reliability, and performance Collaborate with product, analytics, and ML teams Contribute to engineering best practices What We're Looking For Strong Python and advanced SQL in production environments Experience delivering end-to-end data engineering solutions Exposure to Spark, Snowflake, BigQuery or similar Cloud experience across AWS, GCP, or Azure Comfortable working with messy, large-scale datasets Strong ownership from design through to deployment A strong opportunity to shape the data foundations behind AI products in a high-growth, modern engineering environment where SQL is central to success . Applicants must have the right to work in the UK. Sponsorship is not available.

Data Science Consultant Senior Consultant Managing Consultant Data Science & AI Consultancy (Customer Experience Focus) Location: London (Hybrid - minimum 2 days per week in the office) Salary: Competitive & Negotiable DOE Reference: J13095 Shape the Future of Customer-Focused AI We're working with a leading Data Science & AI consultancy that's helping some of the world's best-known organisations unlock the value of data and artificial intelligence to create exceptional customer experiences. With opportunities available at Consultant, Senior Consultant and Managing Consultant level, this is an exciting opportunity to join a collaborative, innovative and fast-growing team delivering cutting-edge AI, machine learning and data science solutions across a broad range of industries. You'll work alongside talented consultants, data scientists and AI specialists, solving complex business challenges while helping clients turn data into meaningful commercial outcomes. What You'll Be Doing Depending on your level, you'll be responsible for: Designing, building and evaluating Machine Learning, Generative AI and Large Language Model (LLM) solutions Delivering AI and data science projects from discovery and proof of concept through to production Applying advanced analytics to solve customer, marketing, digital and commercial challenges Working closely with clients and cross-functional teams to understand business problems and deliver impactful solutions Presenting insights and recommendations to technical and non-technical stakeholders Mentoring junior consultants and leading project workstreams (Senior/Managing Consultant level) What We're Looking For We're keen to hear from candidates with experience in some or all of the following: Commercial experience in completing end to end projects in Data Science, Machine Learning and AI Hands-on experience developing or evaluating Generative AI and Large Language Models (LLMs) Customer analytics, marketing analytics, web analytics, product analytics or commercial analytics experience Strong Python programming skills Experience with cloud platforms for Data Science and Machine Learning Knowledge of Power BI, Tableau or other data visualisation tools Understanding of ethical AI principles and responsible AI development Strong communication and stakeholder management skills A collaborative approach with a passion for solving complex business problems Project leadership and people management experience for Senior and Managing Consultant positions Desirable Experience Experience within any of the following sectors would be advantageous, although by no means essential: Consumer Products & Retail Energy Utilities Telecommunications Public Sector Why Apply? This consultancy offers a genuinely collaborative and inclusive culture where you'll have the opportunity to work on some of the latest developments in AI, machine learning and customer analytics. Whether you're looking to deepen your expertise in Generative AI, work with leading clients, or take the next step into consulting leadership, you'll be supported to grow your career while delivering meaningful, real-world impact. If you're passionate about using Data Science and AI to create smarter, more human customer experiences, we'd love to hear from you. Apply today or get in touch for a confidential discussion.

Senior Analyst - ECM Hybrid London Office 60 - 70 K Depending on Experience + Bonus + Benefits About the Company We're talking about a forward-thinking consumer finance business, delivering products that genuinely put customers in control. Innovative. Ethical. Customer first. No jargon. No unnecessary complexity. Just fair, transparent lending and smart, data led decision making. If you like the sound of shaping strategies that make a real difference. Read On. The Role We're looking for a commercially minded Senior Analyst to join a collaborative analytics team, working at the heart of customer engagement and portfolio performance. The opportunity sits within an Existing Customer Management' analytics environment. This is a hands-on, data-driven role where you'll shape strategies that deepen customer relationships, improve profitability, and reduce losses, all while keeping customer outcomes front and centre. Expectations Lead on credit, pricing, and marketing strategies that drive engagement and reduce losses. Work daily with SQL, Python/R, Tableau, and Alteryx to turn raw data into actionable insight. Take a test and learn' approach, challenging the status quo to find better outcomes. Translate portfolio trends into strategies that shape customer journeys. Collaborate with stakeholders across product, finance, and operations to deliver measurable impact. About You You're not just about the numbers, you know how to use them to tell a story and influence change. You're confident in keeping communication sharp and to the point, while still being respectful, helping save time and keep things running smoothly for everyone You thrive in fast-paced environments, balance detail with big picture thinking, and love seeing your work deliver tangible results What You'll Bring Degree in Economics, Mathematics, Statistics, Computer Science, Business, or similar. 3+ years in analytics, with lending or risk experience,credit card background is a big plus. Strong SQL skills, plus confidence with Python/R, Tableau, or Alteryx. Credit Card industry experience A proactive mindset and the ability to juggle priorities without dropping the ball. Bonus Points For MySQL, AWS, or other big-data platform experience. Proven track record in consumer finance strategy. Experience linking analytics to commercial decisions. What's on Offer Competitive salary, annual bonus, and regular pay reviews. Hybrid working with London office presence. Great benefits package: pension, private medical, life cover, enhanced leave, and more. This is your chance to join a growing, purpose driven business, and to see your work make a direct impact on customers. APPLY NOW