Datatech Analytics

AI Engineers & Technical AI Leaders London Hybrid We're supporting a major consulting and technology organisation delivering AI and data transformation programmes across Financial Services and Banking. The focus is applied AI engineering, building production grade AI solutions across banking, risk, fraud, automation and enterprise platforms. Hiring across multiple levels, from Engineers through to senior technical leadership. What you'll be doing Building AI-enabled platforms and intelligent workflows Working with LLMs, RAG pipelines and embedding models Developing scalable backend services and AI integrations Collaborating across engineering, architecture and business teams Supporting AI deployment, governance and operational rollout Environment Python, SQL LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases, FastAPI, APIs AWS, Azure, GCP or Databricks CI/CD, MLOps and LLMOps Requirements 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 Open to candidates from Engineer through to Senior Manager level.

Datatech Analytics is seeking AI Engineers and Technical AI Leaders in Manchester for hybrid roles focused on AI solutions across banking and financial services. You will build AI-enabled platforms, work with LLMs, and collaborate across multiple teams to deliver robust AI deployments. Candidates should have strong engineering foundations, experience in financial services, and good communication skills. The role is open to various levels from Engineer to Senior Manager.

Datatech Analytics is looking for AI Solution Architects & Technical AI Leaders in London. This role involves designing scalable AI architectures and leading teams to integrate and deploy AI solutions across financial services. The ideal candidate has experience in cloud platforms, strong communication skills, and a background in financial services. This position offers a hybrid work environment and is open to candidates from Manager to Associate Director level.

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.

Datatech Analytics in Manchester is seeking a Senior AI Solution Architect to design and implement scalable AI solutions in capital markets. You will work closely with AI Engineers and senior leadership to shape AI architecture strategy and support enterprise deployment. The ideal candidate will have significant experience in AI architecture design, cloud platforms and data architecture within financial services. This role offers a hybrid working pattern and the chance to impact high-stakes AI transformation projects.

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.

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.

Datatech Analytics in Edinburgh is looking for a Senior AI Solution Architect to lead the design and scaling of AI solutions within financial services. This role involves collaborating with technical teams, translating business needs into scalable architectures, and ensuring compliance with governance and security. Ideal candidates will have extensive experience with AI and data architecture and a deep understanding of cloud services. The position offers a hybrid working model and an opportunity to influence meaningful AI transformations.

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.

Data Analyst (Progressing to Data Engineering) Battersea (2-3 days per week) £40,000 - £55,000 + benefits Job Ref: J13072 The Opportunity This is an excellent opportunity for a detail-oriented Data Analyst looking to develop into a Data Engineering role. Working closely with the Data Lead in a small, high-impact team, you will partner with one other specialist to deliver data solutions across multiple business functions. Success in this role requires precision, ownership, and the ability to independently manage projects while collaborating effectively within a lean team structure. You'll play a key role in ensuring data is accurate, reliable, and actionable across the organisation. Data sits at the heart of the business, driving decisions around customer behaviour, performance tracking, and strategic direction. You will contribute to the ongoing development of a modern data warehouse while delivering high-quality reporting and insights to teams across the company. Over time, the role will expand into deeper customer analytics and segmentation initiatives. Key Responsibilities Design, build, and maintain robust ETL pipelines with a strong focus on data accuracy and consistency Integrate and reconcile data from multiple sources to create a single, reliable view of customers and business activity Work closely with stakeholders across Marketing, Finance, Product, Logistics, and Customer Services to deliver precise and actionable reporting Develop and optimise dashboards (primarily in Looker), ensuring clarity, usability, and attention to detail in every output Translate business requirements into clean, scalable, and user-friendly data solutions Manage reporting workflows via JIRA, maintaining clear communication on priorities, timelines, and delivery Ensure high data quality through validation, testing, and ongoing monitoring Produce tailored data extracts for both internal and external use cases Maintain thorough documentation, including data definitions and governance standards Support and promote a self-serve data culture across the business About You 3+ years' experience in data analytics, with a strong emphasis on accuracy and detail Advanced SQL skills, with experience building scalable pipelines and data models Experience with BI tools such as Looker (preferred), Tableau, or Power BI Strong Excel skills for data analysis and validation Comfortable working in a small team environment, partnering closely with one colleague while supporting multiple business areas Excellent communication skills, with the ability to clearly present data insights to non-technical stakeholders Experience with Python or Java is beneficial Strong analytical mindset with a focus on producing reliable, high-quality outputs Proven ability to organise, validate, and interpret complex datasets Why Apply? Clear pathway from Data Analyst into Data Engineering High level of ownership and impact within a small, collaborative team Opportunity to work across diverse projects and business functions Be part of building a data-driven culture from the ground up

A leading analytics firm in Battersea is seeking a detail-oriented Data Analyst to transition into Data Engineering. This role involves designing and maintaining ETL pipelines, collaborating with multiple business functions, and ensuring data accuracy and reliability. With 3+ years of analytics experience, candidates should possess advanced SQL skills and be comfortable working in small teams. Applicants will have the opportunity to contribute to a data-driven culture and enjoy a clear pathway for professional growth.

Pricing Analytics Engineer - Consumer Pricing Bristol Hybrid (2 days per week in office) Competitive Salary Job Reference J13112 An exciting opportunity to join a highly respected consumer-focused organisation within a growing pricing function, where you'll play a key role in supporting pricing strategy through the deployment, automation and operationalisation of pricing models across the Consumer business. This role offers significant opportunity to influence pricing capability and improve commercial performance by enabling scalable, reliable and automated pricing processes. Working within a collaborative and technically capable team, you'll help deliver best-in-class pricing practices that support acquisition, retention and profitability in a highly competitive market. This is a hands on technical and analytical role where your work will directly support commercial pricing decisions through the development of robust data pipelines, workflow automation and production ready model deployment. You'll work closely with pricing analysts and stakeholders across the business to ensure pricing models and data processes are scalable, accurate and operationally effective. We're looking for someone who enjoys solving complex technical challenges, working with data and building automated solutions that drive real commercial value within a fast paced pricing environment. Responsibilities Support the successful delivery of Consumer pricing strategy and initiatives, driving profitability and trading performance Productionise pricing models by converting analysts' Python code into scalable, maintainable and deployable workflows Design, build and maintain data pipelines for pricing inputs, including ingestion, transformation, feature preparation and quality checks Build and automate workflows for elasticity, forecasting, optimisation and other pricing models Develop and manage API integrations, including competitor pricing feeds and downstream systems Work closely with pricing analysts to translate pricing logic into production ready processes Support model performance improvement through data preparation, feature engineering and data mining techniques Monitor production processes and model performance over time, recommending corrective action where required Ensure pricing models are deployed correctly and operating as expected within customer facing environments Maintain robust version control, testing, monitoring and technical documentation standards Ensure all pricing activity aligns with FCA regulatory guidance and internal governance processes Collaborate closely with Pricing, Finance, Marketing, Insights and Compliance teams across the business Skills required Degree in a numerical subject or equivalent relevant qualification Strong SQL skills and solid Python experience for model packaging and workflow automation Experience building and maintaining data pipelines and automated workflows Understanding of APIs, data ingestion and system integrations Experience with cloud based data platforms such as Snowflake Familiarity with Git and version control best practices Experience implementing data quality checks and monitoring production processes Working knowledge of pricing concepts such as elasticity, forecasting, optimisation and margin analysis Experience supporting analytical teams with feature engineering, data preparation and model inputs Background in analytics engineering, data engineering or a technical analytics environment Hands on experience operationalising analytical models using SQL and/or Python Strong analytical and problem solving skills with a continuous improvement mindset Strong stakeholder management and communication skills with the ability to build credibility and trust at all levels Commercially minded with strong delivery focus and financial awareness If you enjoy working in a commercially focused environment where your technical expertise directly supports pricing decisions and business performance, then this could be an excellent next step in your career. If this sounds like the role for you then please apply today!

Lead Developer (Full Stack, AI) UK, Remote-first £55k-£65k Overview Rare opportunity to join a high growth team building cutting edge AI products in a fast moving, creative environment. You'll be part of a small, high impact team with the autonomy and pace of a scale up, while benefiting from the backing, stability, and support of a larger, well established organisation. What you'll be doing: Lead 2 developers while staying close to the code Design, build, and scale full stack applications Own system architecture, deployment, and engineering standards Integrate AI features into products using modern APIs and data driven approaches Improve CI/CD, environments, and overall delivery capability Tech environment - Not set in stone Front end: React, Next.js, TypeScript (or similar) Back end: Node.js (Express, NestJS) or Python (FastAPI, Django) (or similar) APIs: REST, GraphQL (or similar) Databases: PostgreSQL, MongoDB (or similar) AI / Data Experience integrating AI/ML features via APIs (e.g. OpenAI, Anthropic or similar) Exposure to data pipelines, inference workflows, or retrieval based systems (RAG, vector DBs or similar) Cloud & DevOps AWS, Azure, or GCP Docker, CI/CD pipelines (GitHub Actions, GitLab CI or similar) Experience deploying and maintaining production systems - essential Qualifications Strong full stack engineer with leadership experience Proven track record delivering and deploying real products Comfortable owning deployment and improving engineering standards Clear communicator, able to work across technical and non-technical teams This role isn't for you if: Your AI experience is limited to demos, courses, or side projects without production use You've never deployed or maintained a live system end-to-end You prefer purely front end or back end work without full stack ownership You're not comfortable taking responsibility for delivery, not just contributing code Communication with non-technical stakeholders isn't something you enjoy Small team, real ownership, exciting vision, genuine impact. If you've shipped products, can lead from the front, and want to build something meaningful in the AI space, apply now. Contact: No sponsorship available

A leading AI development company in Greater London seeks a Lead Developer to manage a small team and drive the architecture and delivery of full stack applications. You will integrate AI features and maintain production systems using technologies like React, Node.js, and AWS. The position offers substantial ownership and the opportunity to impact high growth AI products in a creative environment. Interested candidates with a strong engineering background should apply.

Datatech Analytics is looking for a Pricing Analytics Engineer in Bristol to support the pricing strategy through automation and operationalization of pricing models. You will work closely with pricing analysts to develop robust data pipelines and workflows that drive commercial performance. Candidates should have strong SQL and Python skills, and a degree in a numerical subject is required. This hybrid role offers the chance to significantly influence pricing capability in a fast-paced environment.

Job Description Data Science & AI Consultancy - customer centric London offices once a month minimum £Salary negotiable DoE - to be discussed on application Job Reference - J13095 Exciting opportunities at Consultant, Senior Consultant and Managing Consultant level that will help shape the future of data and AI consulting. Supporting customer centric enterprises to unlock the value and power of data and AI - through the lens of customer experience. A culture that is open, flexible, inclusive, and engaging. Working here gives you the opportunity to be empowered and make your mark on every project. If you're passionate about using data and AI to create smarter, more human experiences, this is your opportunity to lead change and make a difference. They are hiring highly skilled Data Science Consultants with hands on experience, ideally including end to end Generative AI (Gen AI) and/or Large Language Models (LLM) development and evaluation. Additionally, candidates should have strong project management and people management skills for higher level roles. Key Qualifications Data Science & AI Expert - Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases. Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models. Customer Experience (CX) Data Experience - Hands on experience in customer behaviour analytics, marketing, commercial, web, or product analytics with core focus in customer experience. Sector Experience - Consumer Products, Retail, Energy, Utilities, Telecommunications or Public Sector would be useful but not essential. Programming Experience - Skilled in using programming languages such as Python. Cloud Expertise - Knowledge of cloud platforms and tools for data science and machine learning. Data Visualisation Experience - Utilise visualisation tools such as Power BI or Tableau to present data insights effectively. Ethics - Familiarity with ethical considerations and best practices in AI and data science. Collaborative team player - Collaborate with cross functional teams to understand business challenges and create valuable products/solutions. People Manager - People management skills, including mentoring, guiding, and developing junior team members. Excellent Communicator - Ability to communicate complex ideas clearly, with excellent written and oral presentation skills, that engages internal and external audiences. Innovative Mind - A strong interest and experience with the latest advancements in data, AI, machine learning, and data science space. If this sounds like you, please do get in touch for a confidential discussion to find out more.

Datatech Analytics is seeking skilled Data Science Consultants to shape the future of data and AI consulting. The role requires expertise in Generative AI and strong project management skills. You'll work in a flexible and inclusive culture and have the opportunity to lead impactful changes. Essential qualifications include proficiency in programming (Python) and data visualization (Power BI, Tableau). Position based in the UK with minimal office attendance in London. Salary negotiable based on experience.

Data Scientist - Modelling & Intelligence - London London Hybrid (3 days in the office, 2 days from home) 6 month Fixed Term Contract Salary to £69,000 pro rata experience dependent Ref: J13096 What if modelling actually sat at the centre of business decisions, not just reporting? We're working with a leading independent property consultancy, building out a new analytics capability, where modelling is becoming central to how the business operates. This isn't a reporting role. It's focused on exploring data and solving real problems. Recent work has included: Clustering complex datasets Modelling trends to support commercial decisions Understanding patterns and behaviours across large datasets You'll work closely with stakeholders to shape problems, build models and turn analysis into something people can actually use. Python is key, with a strong focus on modelling and thinking rather than tooling. We're looking for someone who is comfortable working with messy data, enjoys problem solving and can communicate clearly with non technical stakeholders. What you'll bring Strong Python and SQL Advanced modelling capability Experience working with complex datasets Strong communication and stakeholder engagement Experience working with spatial and non spatial data desirable Exposure to Azure or Databricks beneficial Degree in a quantitative field, MSc or higher beneficial It's an opportunity to join a team that is still taking shape, with real influence over how data is used going forward. Please note that applicants must have the right to work in the UK. Sponsorship is not available for this opportunity.

Datatech Analytics is seeking a Data Scientist to work in London on a 6-month hybrid contract. This role focuses on modelling data to drive business decisions rather than merely reporting. The ideal candidate will have strong Python and SQL skills, advanced modelling capabilities, and experience with complex datasets. Communication with non-technical stakeholders is essential, alongside relevant qualifications in a quantitative field. The salary is competitive, up to £69,000 pro rata based on experience.

A leading data analytics firm in England is seeking a Digital Analyst to drive digital analytics and influence marketing decisions. This role involves building Power BI dashboards, supporting data ecosystem evolution, and partnering with marketing to enhance campaign performance. The ideal candidate has strong experience in digital analytics, GTM, and is eager to play a pivotal role in the data transformation. This position promises a unique opportunity to impact the future of data-driven marketing.