51 jobs found

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)

MLOps Engineer, Palantir Platform Fully Remote 6 Month Contract Outside IR35 £550 to £650 per day The Company They are a large, data driven organisation operating at scale, with a strong focus on using advanced analytics and machine learning to inform decision making. The business invests heavily in its data platforms and engineering capability, creating an environment where robust MLOps practices are essential. Teams are collaborative, delivery focused and used to working with senior technical stakeholders. The Role and Deliverables Design, build and maintain MLOps pipelines on the Palantir Foundry platform. Enable reliable deployment, monitoring and retraining of machine learning models in production. Partner with data scientists and engineers to operationalise models efficiently. Implement best practices around CI/CD, model versioning and data quality. Support platform optimisation, scalability and reliability across environments. Produce clear technical documentation to support ongoing delivery. Your Skills & Experience Strong experience in MLOps or machine learning engineering within production environments. Hands on capability with Palantir Foundry, including pipelines and operational workflows. Solid Python skills and experience supporting end to end ML lifecycles. Practical knowledge of CI/CD, containerisation and cloud based infrastructure. Confidence working with complex data systems and multiple stakeholders. How to Apply If you are an MLOps Engineer with Palantir experience looking for a meaningful contract project, please apply with your details below!

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)

Senior AI Engineer (LLMs, RAG & Agentic Systems) £75,000 - £90,000 London Hybrid An award-winning and highly innovative organisation is looking to hire a Senior AI Engineer to join a growing AI and Data Science function delivering cutting-edge AI products into production. This is an opportunity to work on genuinely impactful AI initiatives, developing and deploying large-scale AI applications that sit at the heart of the business. You'll be working on modern Generative AI use cases including Retrieval-Augmented Generation (RAG), agentic workflows, conversational AI, recommendation systems and intelligent automation solutions. Working alongside Data Scientists, Engineers and Product teams, you will take ownership of the full AI lifecycle, from requirements gathering and solution design through to deployment, optimisation and ongoing enhancement. The Role Design and develop production-grade AI applications using both traditional Machine Learning and Generative AI approaches Build and deploy RAG systems, LLM-powered applications and agentic workflows Develop scalable APIs, microservices and cloud-native AI solutions Work closely with business stakeholders to translate requirements into technical solutions Deploy and monitor AI solutions within modern cloud environments Drive best practice across MLOps, deployment, governance and model lifecycle management Collaborate with cross-functional engineering, product and analytics teams What We're Looking For Strong experience delivering Machine Learning solutions into production Hands-on experience with LLMs, RAG architectures and agentic AI workflows Experience with frameworks such as LangChain, LlamaIndex or similar Strong Python development skills Experience building APIs and microservices Knowledge of Docker, Kubernetes and cloud platforms Understanding of MLOps and production deployment practices Strong stakeholder management and communication skills Why Apply? Work on some of the most exciting AI projects currently being delivered in industry Strong executive sponsorship and investment in AI Opportunity to influence the future direction of AI products and platforms Hybrid working model Excellent benefits package including bonus, pension and private healthcare Genuine opportunity for career progression within a growing AI function Salary: £75,000 - £90,000 + Bonus + Benefits Location: London (Hybrid - 2 days per week onsite) Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

MLOps Engineer / Machine Learning Engineer Location: Portsmouth (2 days every other week on-site, remainder remote) Rate: Up to £537 per day (Umbrella only) Clearance: MOD SC Clearance required (enhanced vetting applies) Your new company You will be joining a leading global consultancy delivering critical digital transformation programmes within the public sector. This role sits within a highly secure environment, supporting the development of advanced machine learning and MLOps capabilities across multiple use cases. Your new role As an MLOps Engineer, you will be responsible for developing and enhancing MLOps capabilities, enabling the deployment, scaling, and monitoring of machine learning solutions to secure and complex environments. You will work across engineering, DevOps, and data science teams to deliver robust, automated, and production-ready ML pipelines. What you'll be doing Develop and improve MLOps frameworks across multiple machine learning use cases Build and maintain CI/CD pipelines using GitLab (YAML-based) Deploy and manage containerised applications using Docker and Kubernetes Implement DevSecOps practices, including security scanning and automated workflows Develop scripts in Python, Bash, and Linux environments to support automation Work within air-gapped environments, ensuring secure deployment of ML solutions Collaborate with data scientists to operationalise ML models Utilise tools such as MLflow and Airflow for model tracking and orchestration Support cloud-based deployments across AWS and Google Cloud Platform Ensure performance, reliability, and scalability of machine learning systems What you'll need to succeed Strong experience in MLOps or ML Engineering roles Proven experience with Docker and Kubernetes (containerisation) Hands-on experience with AWS and/or GCP cloud environments Solid scripting skills in Python and Bash/Linux Experience building CI/CD pipelines using GitLab (YAML) Understanding of DevSecOps principles and tooling Exposure to ML lifecycle tools such as MLflow and Airflow Ability to work in highly secure or air-gapped environments Strong problem-solving and collaboration skills What you'll get in return Opportunity to work on cutting-edge ML and AI initiatives Exposure to secure government programmes and advanced environments Competitive day rate up to £537 per day Hybrid working model with flexibility Long-term potential within a major consultancy client Important information SC Clearance is required (additional MOD vetting will apply and may extend onboarding timelines) This role is PAYE via Umbrella only (inside IR35) What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV.If this role isn't quite right for you, but you're exploring the market, please get in touch for a confidential discussion. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

AI ENGINEERING LEAD Highly competitive salary Hybrid working model with client-facing project exposure Office in Manchester city centre Leadership opportunity within a rapidly growing AI capability KEY POINTS Senior AI Engineering leadership role with hands-on delivery Opportunity to shape engineering standards and AI strategy Client-facing position with strong stakeholder engagement Modern AI stack including Azure AI, Databricks, MLOps, and LLM technologies ABOUT THE CLIENT We're supporting a well-established, technology-focused consultancy that is continuing to invest heavily in its AI and data capability. With a strong focus on innovation, engineering quality, and responsible AI delivery, they are looking to appoint an experienced AI Engineering Lead to help shape and scale their growing function. THE ROLE: You'll take ownership of leading and developing a high-performing AI engineering function, helping shape technical standards, delivery quality, and engineering best practices across multiple projects. This role offers a blend of strategic leadership, client engagement, and hands-on technical delivery. You'll work closely with senior stakeholders, architects, and engineering teams to design and deploy scalable AI solutions into production environments. You'll also play a key role in mentoring engineers, driving capability development, and evaluating emerging technologies across AI, machine learning, and LLM ecosystems. Alongside this, you'll support workshops, solution design sessions, and technical decision-making while ensuring solutions remain scalable, secure, and aligned to business outcomes. THE BENEFITS Opportunity to work on cutting-edge AI and machine learning projects Exposure to modern AI tooling, cloud platforms, and agentic technologies Leadership role with clear progression opportunities Collaborative environment with strong focus on learning and innovation AI ENGINEERING LEAD ESSENTIAL SKILLS Strong commercial experience delivering AI solutions into production Excellent Python engineering skills Experience with Azure AI, Azure ML, Databricks, SageMaker, or similar cloud AI platforms Strong understanding of MLOps, CI/CD, and infrastructure automation Experience with LLMs, agentic frameworks, and modern AI tooling Excellent stakeholder management and communication skills Experience mentoring engineering teams and leading technical delivery TO BE CONSIDERED: Please either apply through this advert or email me directly via For further information please call me on / By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS AI Engineering Lead, Machine Learning, Artificial Intelligence, Python, Azure AI, Azure ML, Databricks, SageMaker, Bedrock, MLOps, CI/CD, LLMs, Agentic AI, Cloud Engineering, AI Architecture, Machine Learning Engineering

Position Summary We are seeking motivated and innovative Junior Healthcare AI Specialists to join our team and contribute to the development of advanced artificial intelligence solutions that support healthcare professionals, improve patient outcomes, and enhance operational efficiency across healthcare environments. This role combines expertise in artificial intelligence, data science, and healthcare systems to create technologies that address real world clinical and organizational challenges. Successful candidates will work closely with multidisciplinary teams including clinicians, researchers, software engineers, healthcare administrators, and data professionals to design, implement, and evaluate AI driven solutions. The successful candidate will be responsible for transforming complex healthcare data into meaningful insights, developing machine learning models, supporting clinical decision making, and ensuring that AI systems are safe, reliable, and aligned with ethical and regulatory standards. This position offers an exciting opportunity to apply cutting edge technology in a field where innovation can have a direct and measurable impact on the quality of care provided to patients. Key Responsibilities Design, develop, and deploy AI and machine learning solutions for healthcare applications. Analyze clinical, operational, and patient data to identify opportunities for AI-driven improvements. Build predictive models, decision-support systems, and generative AI applications. Ensure compliance with healthcare regulations, privacy requirements, and ethical AI standards. Monitor deployed AI systems and continuously improve performance and accuracy. Required Qualifications / Skills Bachelor's degree in Computer Science, Data Science, Biomedical Engineering, Health Informatics, or a related field. Knowledge of healthcare data systems and electronic health records (EHRs). Understanding of data privacy, security, and healthcare compliance requirements. Ability to communicate complex technical concepts to non-technical stakeholders. Strong analytical and problem-solving skills. Preferred Qualifications / Skills Experience with healthcare AI, clinical analytics, or medical data science. Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn. Familiarity with cloud platforms including AWS, Azure, or Google Cloud. Experience with generative AI, large language models (LLMs), and retrieval-augmented generation (RAG). Technical Skills Python SQL Machine Learning MLOps Cloud Computing Data Engineering Statistical Analysis Core Competencies Cross-functional collaboration Critical thinking Communication skills Project management Continuous learning mindset We welcome applications from motivated individuals who are eager to make a meaningful contribution to healthcare innovation. If you are ready to develop your skills, collaborate with talented professionals, and help create the next generation of AI driven healthcare technologies, we would love to hear from you.

MLOps Engineer Location: Remote (Occasional travel to their London office) Contract: Inside IR35 Day rate: Up to £800 per day Duration: 6 months Start date: ASAP Key words: Machine Learning, Python, containerization (Docker), CI/CD, Azure As part of our Client's AI Engineering team, you will own the infrastructure and delivery pipelines that keep our AI-driven products reliable, scalable, and fast. You will design and maintain the cloud environments, CI/CD workflows, and observability systems that enable our engineers to ship with confidence. Key Skills: - Solid programming skills in Python (plus experience with web libraries like FastAPI, Flask, or Django) - Hands-on experience with ML model deployment and monitoring in production Knowledge of containerization (Docker) - Experience with CI/CD pipelines and cloud environments (we use Azure) Assignment Objectives - Implement or improve model monitoring and operational controls for AI/ML systems. - Build and maintain robust ML pipelines for training, deployment, and monitoring - Develop backend systems and APIs that integrate AI into our SaaS platform - Take ownership of the ML performance, monitoring, availability, and security - Define drift, unexpected-output and AI incident playbooks with clear ownership and evidence. - Align MLOps processes with data governance, AppSec, logging, monitoring and enterprise GRC expectations. - Support AI-specific control closure across NIST-style controls, SOC 2, ISO 27001 and enterprise GRC contexts. - Create repeatable evidence for monitoring, alerting, response, review and BAU handover. - Ensure MLOps controls are sustainable after the remediation programme closes.

Senior Platform Engineer Location: Remote (Occasional travel to their London office) Contract: Inside IR35 Day rate: Up to £800 per day Duration: 6 months Start date: ASAP Key words: Azure, Terraform, containerization, CI/CD As part of our Client's AI Engineering team, you will own the infrastructure and delivery pipelines that keep our AI-driven products reliable, scalable, and fast. You will design and maintain the cloud environments, CI/CD workflows, and observability systems that enable our engineers to ship with confidence. Key Skills: - Strong experience with Azure cloud services (compute, networking, storage, identity) - Proficiency with Infrastructure as Code (Terraform) - Solid experience building and maintaining CI/CD pipelines (GitHub Actions) - Hands-on experience with container orchestration (Kubernetes, Docker) - Proficiency in scripting and automation (Python, Bash, or similar) - Understanding of networking fundamentals, security best practices, and secrets management - Experience with monitoring and observability tools (e.g. Prometheus, Grafana, Elastic stack) Assignment Objectives - Implement or improve model monitoring and operational controls for AI/ML systems. - Build and maintain robust ML pipelines for training, deployment, and monitoring - Develop backend systems and APIs that integrate AI into our SaaS platform - Take ownership of the ML performance, monitoring, availability, and security - Define drift, unexpected-output and AI incident playbooks with clear ownership and evidence. - Align MLOps processes with data governance, AppSec, logging, monitoring and enterprise GRC expectations. - Support AI-specific control closure across NIST-style controls, SOC 2, ISO 27001 and enterprise GRC contexts. - Create repeatable evidence for monitoring, alerting, response, review and BAU handover. - Ensure MLOps controls are sustainable after the remediation programme closes.

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.

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.

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 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)

Our client, a leading technology company, is currently seeking an AI Engineer - Enterprise Product AI to join their team. This is an exciting opportunity to embed AI into established enterprise products within the technology sector. Key Responsibilities: Embedding AI into enterprise SaaS products Collaborating closely with product and engineering teams Developing and deploying AI/ML features into live products Implementing anomaly detection or predictive analytics on structured operational data Managing MLOps including deployment pipelines, model monitoring, and retraining Designing REST APIs and integrating MCP patterns Contributing to a structured product roadmap Job Requirements: Experience in software engineering with a focus on AI Proven experience in production AI/ML feature development Understanding of anomaly detection or predictive analytics Proficiency in Python and TypeScript/JavaScript Experience with REST API design and MCP integration patterns Knowledge of MLOps practices Understanding of graph-based dependency or impact analysis (desirable) Experience with AI features in compliance or governance contexts (desirable) Familiarity with SAP BTP (desirable) Benefits: Challenging and rewarding permanent position Opportunity to work on established enterprise products Collaborative work environment with experienced teams Professional development opportunities Comprehensive employee benefits package If you are an experienced AI Engineer with a background in embedding AI into enterprise SaaS products and are looking for a new opportunity, we would love to hear from you. Apply now to join our client's innovative team.

We're hiring an experienced AI Platform Engineer to design, build and operate a production-grade Generative AI platform powering next-generation intelligent products. This is a hands-on engineering role focused on taking AI solutions from prototype to scalable, reliable services used in real-world environments. You'll sit at the intersection of DevOps, cloud infrastructure and applied AI owning the full lifecycle of Retrieval-Augmented Generation (RAG) and LLM-powered systems across modern cloud architecture. This role is about engineering, not research. You will architect and run the infrastructure that enables AI to perform securely, reliably and at scale ensuring performance, cost control and operational maturity as adoption grows. You'll work closely with AI engineers, security teams, and product stakeholders to transform experimental models into hardened, production-ready services while shaping a reusable AI platform capable of supporting multiple products. What You'll Be Doing Design and optimise scalable RAG pipelines and vector search systems Orchestrate multi-model AI services with a focus on latency, resilience and performance Productionise GenAI workflows and ensure they operate reliably under real usage Build and run AI services across AWS and Databricks Develop ingestion, embedding and retrieval pipelines Deploy containerised workloads via Kubernetes and Helm Implement Infrastructure-as-Code using Terraform Introduce end-to-end monitoring, tracing and alerting for AI workloads Improve inference and retrieval performance while reducing operational cost Establish fault-tolerant, scalable infrastructure patterns Embed security, evaluation and governance into the AI lifecycle Build CI/CD pipelines and automation to support continuous model deployment Create reusable platform components to accelerate future AI initiatives Strong experience in: Cloud infrastructure engineering (AWS-focused environments) Kubernetes, containerisation, and distributed systems Terraform / Infrastructure-as-Code CI/CD, automation, and platform reliability Running production workloads with high availability requirements Plus, experience with one or more of the following: MLOps or ML platform engineering RAG architectures, embeddings, or vector search Model serving, observability or performance optimisation Data / AI workflow orchestration in Databricks or similar ecosystems Why Join? Work on real-world AI systems operating at scale Own platform design decisions and influence long-term architecture Blend modern DevOps practices with cutting-edge Generative AI use cases Be part of a growing, innovation-driven engineering environment Opportunity to define how AI is operationalised across multiple products If you're excited by building the infrastructure that makes AI usable, scalable and reliable in production, we'd love to hear from you. 49914MSR3 INDLON The Portfolio Group are acting on behalf of our client in recruiting for this position.

Senior Software Engineer, AI Location: London (Hybrid: 2 days in office, 3 days remote) Position Type: Permanent Are you a seasoned software engineer passionate about pushing the boundaries of what's possible with Generative AI? We are a leading global provider of financial information services, insights, data, and analytics. We are currently seeking a Senior Software Engineer, AI to join our team in London. In this role, you will drive high-impact AI initiatives, design production-ready generative AI platforms, and build scalable, enterprise-grade solutions that shape the future of global markets. What We Offer Transformative AI Impact: Design and deploy production-ready GenAI platforms, multi-agent systems, and intelligent automation that reshape products in real-time. Cutting-Edge Tech Stack: Experiment with the latest LLMs, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol (MCP) servers. Enterprise Scale: Build GenAI solutions across multiple business units while creating unified patterns and reusable component frameworks. Dynamic Culture: Work at the intersection of advanced engineering and product development within a collaborative, innovation-driven environment. We'll Count on You To Lead GenAI Development: Spearhead the creation of enterprise chatbot platforms, evaluation frameworks, agentic workflows, RAG architectures, and MCP implementations. Pioneer Innovation: Act as a hands-on engineer bridging the gap between research breakthroughs and production-ready capabilities to generate tangible business value. Build Robust Infrastructure: Develop enterprise-scale APIs (FastAPI) and architect comprehensive cloud-based AI infrastructure on AWS/Azure optimized for scalability and performance. Demonstrate Full-Stack Excellence: Apply your expertise across the entire technology stack to seamlessly integrate AI capabilities into user-facing products and backend systems. What You Need to Have Experience: 7+ years of professional experience designing, developing, and deploying production-grade applications, with 5+ years specifically in full-stack enterprise software engineering. Core Skills: Advanced Python programming with strong backend development capabilities. AI Expertise: Proven experience developing and deploying intelligent conversational AI systems using RAG architectures, Model Context Protocol (MCP), AI-enabled search, vector databases, and LLM integration. Frameworks: Hands-on experience building GenAI applications using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration). ML & Cloud Ecosystems: Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow, MLflow, MLOps practices, containerization (Docker, Kubernetes/AWS EKS), and cloud services (AWS Bedrock, SageMaker, Azure AI Search). Soft Skills: Excellent communication and collaboration skills, with the ability to translate complex technical concepts for diverse, cross-functional stakeholders. Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.

Data Scientist (Python / SQL / AI & Machine Learning) Location: Newcastle Upon Tyne Hybrid Salary: Competitive + Excellent Benefits Type: Full-time, Permanent Overview A leading financial technology and investment business is looking to appoint a Data Scientist to join its growing data and analytics function. This is an opportunity to work with large-scale datasets, advanced analytics and emerging AI technologies to deliver meaningful business insights and measurable commercial value. You'll play a key role in transforming complex data into actionable intelligence, supporting decision-making across areas including client analytics, operational efficiency, portfolio analysis and business performance. Working alongside data engineers, analysts and business stakeholders, you will contribute to the development of modern analytical solutions using machine learning, AI and statistical techniques within a well-governed and evolving data environment. Key Responsibilities • Deliver end-to-end analytics solutions from data preparation through to insight generation • Develop and maintain analytical models using Python, SQL and cloud-based data platforms • Apply machine learning, AI and statistical techniques to business challenges • Work with NLP, LLM and Generative AI technologies where appropriate • Validate data, perform testing and ensure analytical output quality • Monitor model performance and support ongoing optimisation and governance • Contribute to MLOps practices including deployment, versioning and monitoring • Translate technical findings into clear business recommendations • Develop reusable analytical assets, datasets and reporting solutions • Collaborate with stakeholders to identify and prioritise high-value analytical opportunities Requirements • Commercial experience within Data Science, Analytics or a related discipline • Strong Python and SQL development skills • Experience applying statistical, machine learning or AI techniques to real-world problems • Experience working with structured datasets and analytical reporting solutions • Understanding of model validation, testing and performance monitoring • Strong analytical and problem-solving capabilities • Ability to communicate technical concepts to non-technical stakeholders • Degree in Data Science, Mathematics, Statistics, Computer Science, Engineering or similar quantitative discipline Desirable • Experience with Microsoft Fabric or modern cloud-based data platforms • Exposure to NLP, LLMs or Generative AI technologies • Experience with MLOps practices and CI/CD pipelines • Understanding of data governance and model governance frameworks • Previous experience within financial services, fintech or regulated environments • Leadership or mentoring experience What's on Offer • Opportunity to work with advanced analytics, machine learning and AI technologies • Hybrid working arrangement • Exposure to large-scale datasets and business-critical projects • Collaborative and highly skilled data environment • Ongoing professional development and career progression opportunities • Opportunity to influence strategic decision-making through data-driven insights Apply If you're a Data Scientist who enjoys solving complex business problems through analytics, machine learning and AI, and you're looking to join a growing data-driven organisation where your work will have genuine impact, apply now or get in touch for a confidential discussion.