Datatech

AI Solution Architect - FS Consulting Ready to take AI beyond proof of concept? A leading consulting and technology firm is hiring AI Solution Architects and Technical AI Leaders to shape enterprise AI and GenAI strategy for major banking clients, turning ambitious ideas into secure, production-grade deployments across regulated financial environments. Hybrid working, based in Scotland. What you'll do Set the AI and GenAI architecture strategy and roadmap. Build scalable AI/ML and Agentic AI platforms spanning LLMs, retrieval-augmented generation (RAG), embeddings and semantic search. Lead on deployment, governance and integration patterns, advise clients on platform capability and implementation strategy, and partner 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 enterprise AI or ML architecture design, strong cloud and modern data platform knowledge, and demonstrable experience of scalable AI deployment and integration. Financial services or another regulated industry is essential, along with the stakeholder presence to advise at senior client level. Applications welcomed from Manager through to Associate Director.

Data Scientist - Operational Modelling & Simulation Location: Middlesex - Hybrid (3 days onsite, 2 days from home) Salary: 40,000 - 45,000 dependent on experience Ref: J13156 A global technology organisation is seeking a Data Scientist who wants to apply machine learning, simulation and advanced analytics to solve real-world operational challenges. This isn't a role where your work disappears into reports. This is an opportunity to work with large-scale operational datasets and develop models that help improve forecasting, planning and decision-making in a high-volume operational environment. You'll work on complex problems where your analysis has a genuine purpose, developing predictive models, identifying constraints and building simulation tools that help answer important what if? questions around future demand and performance. This is a role where you'll be trusted to take ownership of your work; understanding complex problems, selecting the right approach, validating your results and clearly explaining the reasoning behind your recommendations. You won't just be producing outputs. You'll be expected to understand how you got there, why the approach was right and how your insights support operational decision-making, while continuing to develop your technical capability in a complex real-world environment. You'll be involved in: Developing machine learning models to improve forecasting and operational planning Applying time-series analysis and feature engineering techniques across large datasets Building and improving discrete event simulation models to test different scenarios Identifying trends, patterns and potential operational constraints Translating technical analysis into clear insight and recommendations Experience required: Applied machine learning and statistical modelling Forecasting, simulation, optimisation or operational research techniques R programming (Python experience beneficial) SQL and working with large datasets Ability to explain technical findings clearly to different audiences A background within transport, logistics, aviation, engineering, manufacturing, supply chain or similar operational environments would be highly advantageous. This would suit a Data Scientist who enjoys modelling how things work, testing scenarios and seeing their work influence real-world decisions. Apply now or get in touch for more information. 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.

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)

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: 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)

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)

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 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.

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 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 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 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

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

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 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)

Data Engineer - Azure Environment Birmingham - Hybrid (1 day a week in the office ) 50,000- 65,000 (Dependent on Experience) Job Ref: J12976 This is a fantastic opportunity to join a forward-thinking organisation that is expanding its data capabilities. As a Data Engineer, you'll play a key role in driving strategic data initiatives, collaborating with stakeholders across the business, and delivering insights that support critical decision making. You won't just be building reports you'll be shaping data solutions that are innovative, scalable, and accessible across platforms, ensuring the business remains ahead in an increasingly data driven environment. Key Responsibilities: Design, develop, and deliver end-to-end Power BI dashboards and data solutions within Azure Cloud Collaborate closely with data stakeholders and technical teams to bring BI products to life Translate business requirements into effective technical solutions, using Agile methodologies Build and maintain scalable data models and robust data architecture Leverage the data warehouse to support self-service analytics and informed decision-making Ensure strong data governance, security, and regulatory compliance (e.g., GDPR) Mentor junior BI developers and contribute to a culture of data excellence Continuously seek opportunities to improve data reliability, automation, and reusability Experience & Skills Required: Proficiency in Azure Data Factory and Azure SQL is essential Proven experience with Power BI and a keen eye for effective, user-friendly data visualisation Strong background in data warehouse design (preferably Kimball methodology; fact/dimension tables) Excellent written and verbal communication skills Senior Stakeholder management experience Experience working in Agile environments; exposure to DevOps is a plus Excellent attention to detail and a strong analytical mindset Degree or equivalent professional experience Right to work in the UK is essential - sponsorship is not available now or in the future If you're ready to take the next step in your career leading end-to-end data development while collaborating with both technical and non-technical stakeholders in a supportive environment, this is a fantastic opportunity to make a real, tangible impact. 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. For more information, visit our website: (url removed)

IT Systems Administrator Based in the City of London On-site, Monday to Friday Salary: 30,000 - 55,000 Dependent on Experience Ref: J13007 Please note sponsorship is not available now or in the future. A dynamic, data-driven organisation and global leader in sports trading is on the lookout for a proactive and hands-on IT Systems Administrator to help support and evolve their mission-critical infrastructure. As part of a small, highly collaborative IT team, you'll play a hands on role in ensuring system reliability, security, and performance across a complex environment. You'll be involved in a wide range of responsibilities, including: Maintaining the infrastructure including the farm of on-site and off-site servers Monitoring and maintaining the in-house software applications Managing the Microsoft Windows universe Administering Active Directory and Group Policy Managing storage systems, including NAS and iSCSI Technical Experience: Experience of system administration in a Microsoft Active Directory environment Juniper Networking experience Working knowledge of SQL, scripting languages (e.g. Powershell), HTML and web technologies Exposure to Hyper-V virtualisation Solid hardware experience, e.g. with building custom machines Some programming experience is desirable This is a genuinely exciting opportunity to join a company where technology is at the heart of everything they do. If you're looking for a role where you can be truly hands-on, with no red tape, no unnecessary silos, and the chance to get involved across the board, then this could be your perfect next move. Get in touch today to find out more! 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. For more information, visit our website: (url removed)

Business Intelligence Developer - MS Azure and Power BI Birmingham (Hybrid - 3 days in-office, flexible in practice) 50,000- 55,000 DoE Job Ref: J12976 This is a fantastic opportunity to join a forward-thinking organisation that's expanding their data capabilities. As a Business Intelligence Developer you'll be at the heart of driving strategic data initiatives, collaborating with key stakeholders, and delivering impactful insights across the business. You'll be more than just a report builder, you'll help shape data solutions that are innovative, scalable, and accessible across devices, ensuring the business stays ahead in a data-driven world. Responsibilities: Contribute to the end-to-end design, development, and delivery of Power BI dashboards and data solutions Collaborate with data stakeholders and tech partners to bring BI products to life Translate business needs into technical solutions using Agile methods Build and maintain scalable data models and system architecture Use the data warehouse to empower decision-making via self-service analytics Ensure robust data governance, security, and compliance (GDPR, etc.) Mentor junior BI developers and promote a culture of data excellence Continuously seek improvements in data reliability, automation, and reusability Experience Required: Strong experience with Power BI and an eye for compelling, intuitive data visualisation Solid background in data warehouse design (Kimball methodology, fact/dim tables) Proficient in the Azure stack - including ADF and Azure SQL Familiarity with Agile development; DevOps experience a bonus Bonus points for experience with Tableau, Qlik, or broader BI tooling High attention to detail and a strong analytical mindset A degree or equivalent experience Right to work in the UK is essential - Sponsorship not available at now or in the future You'll be part of a supportive, agile team where your voice is heard and your ideas matter. The company champions innovation, collaboration, and continuous learning, so if you're looking to grow and make a genuine impact, this is your chance. 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. For more information, visit our website: (url removed)