35 jobs found

AI Solutions Engineer, Microsoft Tech Stack, Azure DevOps, Co-pilot Studio, Professional Services, City of London AI Solutions Engineer required to work for a Professional Services business based in the City of London. This will be 3 days in the office per week and the other 2 days from home. The AI Solutions Engineer will play a crucial role in supporting the development and deployment of artificial intelligence (AI) solutions across the firm. This role will play a key part in designing, building, and maintaining trusted AI that enhances legal service delivery, knowledge management, and operational efficiency. It is ESSENTIAL for you to have extensive experience within the Microsoft Ecosystem. The role offers the opportunity to influence and shape the use of AI across the firm. Also, this is a hands-on technical role, working closely with senior stakeholders, knowledge professionals and business services teams to deliver and support secure and scalable AI solutions. Read on for more details Experience required: Practical experience building and deploying AI or machine learning solutions into production, rather than purely academic, research or proof-of-concept experience. Strong Microsoft AI technology experience, particularly Copilot Studio, Azure AI Foundry and Azure DevOps. Software development capability, ideally with Python; JavaScript or other development languages would be an advantage. A solid technical understanding of LLMs, NLP, machine learning fundamentals and prompt engineering. Experience designing prompts, grounding strategies and knowledge integrations to produce reliable AI responses. An ability to work with agentic AI and integrate AI solutions into existing workflows and core business systems. Experience assessing and integrating third-party AI platforms and tools, including building proofs of concept and contributing to build-versus-buy decisions. A good understanding of AI security, data privacy, access controls and auditability, together with awareness of relevant regulatory requirements including GDPR and the EU AI Act. Strong stakeholder skills and the ability to translate business requirements into technical solutions and explain complex AI concepts clearly to non-technical users. A pragmatic and risk-aware approach. Given the environment, we need someone focused on trusted, reliable and explainable AI rather than simply experimenting with the latest technology. Strong analytical and problem-solving skills, attention to detail and the ability to work effectively across different teams, functions and international offices. Legal or professional services experience would be beneficial but is not essential. Our client would be interested in strong AI engineers from other complex professional environments where security, confidentiality and reliability are important. Hands-on AI engineering experience where you have built and deployed production AI solutions, ideally within the Microsoft ecosystem. This is NOT purely a strategic AI / innovation person we are looking for, nor a traditional data scientist without strong software engineering and solution-delivery experience. This is a great opportunity and salary is dependent upon experience. Apply now for more details

Lead Data Engineer Contract until April £Market rates/Day Inside IR35 Remote Clearance: SC We are seeking a Lead Data Engineer our Government client on a remote basis. The Lead Data Engineer role will be an initial contract until 30/04 paying between £700 - £900/Day Inside IR35. Ideally they want to be under the top end budget. This role is inside IR35 - Due to the service of the role it will now be based on an Umbrella solution. Lead the design and delivery of secure, scalable data pipelines and integrations supporting enterprise AI and workflow automation. Establish engineering standards, ensure data quality and compliance, and align solutions with wider enterprise data architectures and roadmaps. Clearance: SC Role Profile: Data Integration & Pipelines: Design and implement ETL/ELT workflows, APIs, and integrations across enterprise platforms and databases, aligning with existing standards. Security & Governance: Implement access controls, SSO, data classification, and permission-aware AI integrations in line with UK GDPR and data protection requirements. Data Readiness & Innovation: Assess data quality and suitability for AI, develop synthetic test datasets in secure sandboxes, and build domain-specific knowledge and retrieval systems. Engineering Standards & Observability: Develop reusable, secure, maintainable solutions, including metadata management, automated testing, CI/CD, and monitoring. Technical Leadership & Stakeholder Engagement: Lead cross-functional engineering teams, translate business requirements into technical solutions, and communicate data risks and recommendations to senior stakeholders. Data Engineering: Proven expertise in scalable ETL/ELT pipelines, API integrations, vector indexing, and enterprise AI retrieval architectures. Security & Compliance: Strong knowledge of identity and access management, identity federation, data classification, UK GDPR, and data protection requirements. Data Quality & Diagnostics: Experience assessing data quality, validating AI readiness, and developing synthetic testing environments for automation and machine learning. Cloud & Software Engineering: Advanced AWS, Python, and SQL skills, including query optimisation, Terraform, CI/CD, automated testing, and metadata management. Leadership & Communication: Demonstrated ability to lead multidisciplinary teams in agile environments and translate complex technical risks into clear strategic advice. If you are interested in the above, hit the Apply now button! Lead Data Engineer, AI, Lead Data Engineer, Senior Data Engineer, Lead Data Engineer, Data Engineer, Lead Data Engineer, SC Clearance, AWS, Python, ETL, ELT, SQL, Artificial Intelligence, SC Cleared, SC Clearance Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus if you refer somebody else who fills the role! We also offer an iPad if you refer a new client to us and we recruit for them. Follow us on Facebook - Circle Recruitment , Twitter and LinkedIn - Circle Recruitment.

Head of AI / Director of AI (Hands-On) Manchester (On-site) Shape the AI strategy and build it yourself. An award-winning international professional services organisation, with a strong record of year-on-year growth, is investing significantly in AI and is looking for a Head of AI / Director of AI to lead the way. This is a fully on-site role based at their Manchester office. Our client is a market leader in B2B consultancy, providing critical legal and professional support services that help businesses manage complexity, stay compliant and grow. This role is for someone who wants to set the direction and stay close to the AI engineering. You'll define the AI vision and roadmap, and you'll also roll up your sleeves to design, build and deploy solutions that make a real difference to clients and the business. You'll move AI beyond experimentation and into production, and shape how professional expertise is delivered at scale. Open to established leaders and those ready to step up. We'd love to hear from current Directors or Heads of AI, as well as Lead or Principal AI/ML Engineers who are ready for their first senior leadership role. What you'll do Define and lead the organisation's AI strategy and roadmap, reporting into the senior leadership team. Stay hands-on: architect, build and deploy AI solutions into production, and set the technical standard for the team. Identify and deliver AI opportunities across client services, professional delivery, internal operations, knowledge management and commercial growth. Work with Generative AI, LLMs, Machine Learning, RAG, vector search and knowledge graphs. Build and lead a cross-functional AI team, bringing together engineers and professional subject matter experts. Establish practical AI governance, covering security, privacy, compliance, accuracy, explainability and responsible AI. Partner with senior leaders to turn AI opportunities into measurable client and commercial outcomes. About you Strong hands-on experience taking Machine Learning and Generative AI solutions into production, including RAG architectures. Deep technical knowledge of LLMs, NLP, Python, SQL and frameworks such as PyTorch or TensorFlow. A solid understanding of MLOps, DevOps, CI/CD and DevSecOps. Experience leading AI initiatives or technical teams, whether as a Director, Head of AI, or Lead or Principal Engineer. The ability to talk strategy in the boardroom and architecture with engineers, with the commercial judgement to know what will make an impact. Experience in professional services, consulting, legal, HR, compliance or another knowledge-intensive environment is a bonus, but not essential. Why this role? A rare chance to shape AI at a pivotal point in a high-growth, multi-award-winning organisation. Real autonomy to build the strategy, the team and the technology. Close working with an ambitious leadership team, influencing the company's next phase of growth. A competitive salary, performance bonus, private healthcare, pension and premium benefits. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position.

Job Title: Engineering Manager, AI Company: 167 Solutions Location: Hybrid (UK ONLY) Salary: £150,000 - £170,000 per annum Contract Type: Permanent Experience Level: Minimum 5 years' experience Start Date: ASAP The Opportunity: 167Solutions is partnering with a globally recognised media and information services organisation to recruit an Engineering Manager - Applied AI & Data Science . Our client is at the forefront of digital innovation, investing heavily in artificial intelligence, machine learning and data science to transform how millions of people access and interact with trusted information. The role combines people leadership, technical architecture and hands-on engineering, with a particular focus on generative AI, agentic systems, LLMOps and AI-native software development. You'll play a key role in shaping the organisation's AI capabilities, delivering production-grade AI systems and driving the adoption of modern AI engineering practices. The Role: As Engineering Manager, you will lead the Applied AI and Data Science team, taking ownership of technical delivery, team development and engineering standards while remaining actively involved in designing and building AI solutions. You will work closely with senior AI leadership, product managers, data engineers and business stakeholders to translate ambitious AI initiatives into scalable, secure and commercially valuable solutions. The team's work spans large language models, agentic AI, retrieval-augmented generation (RAG), natural language processing, predictive modelling and shared AI platform capabilities. What You'll Do: Lead and develop a multidisciplinary AI team , providing day-to-day management, mentorship, technical guidance and career development for AI/ML Engineers, NLP Engineers and Data Scientists. Own technical delivery , managing priorities, resources and engineering commitments while balancing rapid experimentation with production requirements. Remain hands-on , contributing Python code, reviewing models and implementations, prototyping solutions and supporting complex technical challenges. Shape AI architecture , guiding the design and development of agentic AI systems, RAG pipelines, NLP solutions and machine learning applications. Build safe and reliable AI agents , implementing appropriate guardrails, tool permissions, human-in-the-loop controls and end-to-end evaluation. Drive AI-native software engineering , introducing and scaling the use of tools such as Claude Code, Cursor and GitHub Copilot across development, testing and code review. Establish engineering best practices , covering LLMOps, MLOps, CI/CD, automated evaluation, observability, security, performance and cost optimisation. Work extensively with AWS AI services , including Amazon Bedrock, Bedrock AgentCore, SageMaker, Lambda and Step Functions. What We Are Looking For: Proven experience as an Engineering Manager or Technical Lead with direct people-management responsibility for AI Engineers, ML Engineers, NLP Engineers or Data Scientists. Strong hands-on AI/ML engineering background, with advanced Python skills and experience developing production-grade AI systems. Experience designing and building LLM-powered and agentic AI applications, including RAG, NLP and traditional machine learning solutions. Practical experience with modern agent frameworks such as LangGraph, Strands Agents or Claude Agent SDK, alongside interoperability standards including MCP and A2A. Strong AWS cloud engineering experience, particularly Amazon Bedrock, Bedrock AgentCore, SageMaker, Lambda and Step Functions, with Infrastructure as Code using AWS CDK or equivalent. Hands-on experience with LLMOps and MLOps, including model and agent evaluation, trajectory testing, tracing, observability, guardrails and cost monitoring. Understanding of AI security challenges, including prompt injection, data leakage, excessive agent permissions and appropriate mitigation strategies. Experience using AI coding assistants and agents, such as Claude Code, Cursor or GitHub Copilot, throughout the software development lifecycle. Ability to establish engineering standards for AI-generated code, context engineering, automated testing and AI-assisted development. Desirable Experience: Experience building and operating production-grade agentic AI systems, including multi-agent orchestration, agent memory, MCP-based tool integration and agentic RAG. Strong NLP expertise, including semantic search, summarisation, information extraction, classification or LLM fine-tuning. Experience developing shared AI platforms, internal MCP servers or reusable AI capabilities used by multiple engineering teams. Knowledge of vector search technologies such as OpenSearch, Amazon S3 Vectors or pgvector. Familiarity with AI governance, regulatory considerations and responsible AI development practices. Why Join Us: This is an opportunity to take a leading role in a major AI transformation programme within a globally established, highly respected organisation. You'll be working on meaningful AI initiatives with the potential to impact millions of users, while helping shape the technical direction and engineering culture of a growing Applied AI and Data Science function. The position offers a rare combination of hands-on technical ownership, people leadership and strategic influence, giving you the opportunity to work with cutting-edge agentic AI technologies while building and developing a high-performing engineering team. If you're an experienced AI Engineering Manager who wants to remain close to the technology, lead talented engineers and data scientists, and help deliver the next generation of AI-powered products, we'd love to hear from you.

Apply before 11:55 pm on Sunday 25th October 2026 At Dstl, our vision is to have a modern way of working efficiently, accommodating and enabling our people to create, collaborate and deliver. To do this successfully in this job will require attendance at a Dstl location, Government Departments including wider MoD or Delivery and Mission Partner premises for at least 80% of your working time. Job summary Are you passionate about applying Artificial Intelligence to solve some of the most complex cyber challenges facing the UK? We are looking for a Senior Cyber AI Specialist to join a multidisciplinary team delivering innovative AI solutions in support of national security. Working at the forefront of cyber research and development, you will apply advanced mathematical, analytical and software engineering techniques to develop novel AI capabilities, explore emerging technologies and provide technical leadership across a range of challenging projects. Why join us? This role offers the opportunity to work with cutting-edge technologies including large language models, deep learning and reinforcement learning, helping to transform innovative ideas into practical solutions that deliver real-world impact. You will investigate emerging threats and opportunities within AI, evaluate the performance and robustness of models, and contribute to the development of trusted and assured AI capabilities. As a senior specialist, you will work closely with scientists, engineers and technical stakeholders across government, industry and academia. Alongside your technical contribution, you will help shape future research direction, support the development of colleagues and provide authoritative technical advice that influences decision-making and programme outcomes. This is an exciting opportunity for someone who combines strong technical expertise with curiosity, creativity and a desire to make a meaningful contribution to the UK's cyber and national security mission. This role is eligible for an additional specialist allowance of £2758 annually subject to meeting extended onboarding requirements. The role may be eligible for additional skills allowances depending on the skills and experience of the applicant. Job description What you'll do; Design, develop and evaluate innovative AI and machine learning solutions to address complex cyber challenges. Apply advanced Python software development skills to develop and assess AI techniques including deep learning, reinforcement learning and large language models. Investigate emerging AI technologies, threats and opportunities, identifying practical applications and future research areas. Analyse and interpret model behaviour, performance, explainability and limitations using mathematical and analytical approaches. Develop approaches to AI testing, evaluation, assurance and validation to support robust and trustworthy outcomes. Work collaboratively within multidisciplinary teams to deliver high-quality technical outputs and research outcomes. Communicate complex technical concepts to a variety of audiences through reports, presentations and stakeholder engagement. Provide technical leadership, mentor colleagues and help grow AI capability across the organisation. Manage technical risks, contribute to strategic decision-making and support the successful delivery of projects and programmes. For more information on the job responsibilities, please see the job profile. Person specification What we're looking for; Strong understanding of AI and machine learning concepts, including neural networks, deep learning, reinforcement learning and large language models. Experience applying mathematical and analytical techniques to develop, evaluate or improve AI and machine learning solutions. Strong Python software development skills and experience working with machine learning frameworks such as PyTorch or TensorFlow. Experience solving complex technical challenges in engineering, science, technology or cyber-related environments. Experience leading or influencing technical work within multidisciplinary teams. Strong communication skills, with the ability to explain complex technical topics clearly to both technical and non-technical audiences. Experience coaching, supporting or developing colleagues. Please review the job description for more detailed information by clicking apply. Important Information: Our work in defence, security and intelligence requires our employees to be UK Nationals who are able to gain a high level of security clearance to undertake the projects we are involved in to protect us from security threats. For this reason, only UK Nationals will be able to apply for this role. If you are an international or dual-national candidate, and you think you have the skills we need, please consider applying to any of our government, security or defence partners. This role will require Develop Vetting and you should have resided in the UK for the past 10 years.

SENIOR MACHINE LEARNING ENGINEER - SC / DV NEW PERMANENT OPPORTUNITY AVAILABLE IN LONDON FOR A SECURITY CLEARED MACHINE LEARNING ENGINEER Salary: Up to £130,000 Location: London - Hybrid Working Pattern: Hybrid, 2-4 days per week on-site depending on project requirements Clearance: SC or DV Cleared (DV preferred) To Apply: Email

SENIOR PYTHON / DATA ENGINEER - SC CLEARED NEW PERMANENT OPPORTUNITY AVAILABLE FOR AN SC CLEARED PYTHON ENGINEER WITH DATA ENGINEERING EXPERIENCE Salary: Up to £75,000 Location: London Working Pattern: Hybrid Clearance: SC Clearance required to start Type: Permanent I'm currently working with a leading technology consultancy delivering a range of complex digital and data projects across the public sector. They're looking for a Senior Python / Data Engineer to join their growing engineering team in London. This role could be a great fit for someone from a strong backend Python / software engineering background who has experience working with data, cloud platforms or data-intensive applications. You don't need to have worked across every area of data engineering - strong software engineering fundamentals are key. THE ROLE You'll work as a hands-on senior engineer, designing and building modern data platforms, services and applications for public sector clients. You'll be involved across the engineering lifecycle, working with Python, cloud technologies, data pipelines and modern software engineering practices. You'll also have the opportunity to work closely with clients and support the development of other engineers. Key responsibilities Developing high-quality, production-ready Python applications and services Building and maintaining data pipelines, including ETL/ELT and batch/streaming workloads Working with cloud platforms including AWS, Azure or GCP Designing and integrating APIs, databases and data services Applying software engineering principles including SOLID, DRY and TDD Using Git and CI/CD pipelines to maintain code quality and support deployments Working with data transformation, cleansing and standardisation Supporting modern data architectures including data lakes and data warehouses Using Terraform / Infrastructure as Code to build and manage environments Implementing logging, monitoring and alerting across production systems Working with technologies such as Pandas, Pydantic, Airflow, AWS Glue, Docker, JSON and Parquet Working alongside data scientists, engineers and multidisciplinary delivery teams Supporting and mentoring other engineers and sharing technical knowledge WHAT WE'RE LOOKING FOR We're particularly interested in engineers with: Strong commercial experience with Python A solid understanding of backend / software engineering principles Experience working with AWS, Azure or GCP Experience with Git, CI/CD and automated testing Knowledge of databases and data processing Experience building or working with APIs, services or data pipelines Understanding of ETL/ELT and data engineering principles Experience with Terraform or another Infrastructure as Code tool Experience working in modern Agile engineering environments Strong communication skills and the ability to work with technical and non-technical stakeholders Active SC Clearance DESIRABLE Airflow or AWS Glue Pandas / Pydantic Docker Data lakes / data warehouses Batch and streaming systems Data quality and schema management Experience productionising machine learning or data science solutions Consultancy experience Public sector experience Pair programming / mob programming Experience working within multidisciplinary technology teams You don't need to tick every box. If you're a strong Senior Python / Backend Engineer with some experience around data, cloud or data platforms, I'd still be keen to speak with you. To apply, send your CV to

SENIOR PYTHON SOFTWARE ENGINEER - SC / DV CLEARED NEW PERMANENT OPPORTUNITY AVAILABLE Salary: Up to £100,000 base Location: London Working Pattern: Hybrid - 2-4 days per week on-site Clearance: Active SC or DV Type: Permanent I'm currently working with an organisation delivering innovative AI and software solutions within the UK Defence sector, who are looking for a strong Python Backend Engineer with knowledge of machine learning to join their growing team. THE ROLE This is a hands-on engineering role focused on building scalable backend applications, services and infrastructure that support AI and machine learning solutions. You'll work alongside data scientists and other engineers to turn ML capabilities into reliable, production-ready software, with a focus on software engineering rather than developing models from scratch. Responsibilities include: Designing, developing and maintaining scalable backend applications and services using Python. Building APIs, integrations and software infrastructure to support AI and machine learning solutions. Working alongside data scientists to integrate and operationalise ML models within production systems. Developing reusable software components and tools to improve the delivery of AI-enabled applications. Working with cloud platforms such as AWS, Azure or GCP. Using Docker and Kubernetes to build, deploy and manage applications at scale. Contributing to software architecture, technical design and engineering best practices. Making technical decisions to ensure solutions are scalable, secure and maintainable. Collaborating with engineers, data scientists and client stakeholders to deliver complex technical projects. WHAT THEY'RE LOOKING FOR Strong commercial experience developing backend applications and services using Python. Solid software engineering fundamentals, including clean code, testing and maintainable system design. Experience building APIs, integrations and scalable software systems. Knowledge of machine learning concepts and an understanding of how ML models are deployed and used in production. Experience working with ML-enabled applications or integrating models built using frameworks such as Scikit-learn, TensorFlow or PyTorch. Experience with cloud platforms such as AWS, Azure or GCP. Familiarity with Docker, Kubernetes and modern software deployment practices. An understanding of infrastructure, application security and production environments. Strong problem-solving skills and the ability to collaborate with multidisciplinary teams. Active SC or DV security clearance. INTERESTED? If you're an SC or DV-cleared Python Backend Engineer with strong software engineering skills and knowledge of machine learning, get in touch to discuss the opportunity. To apply, please send over your latest CV.

SENIOR PYTHON / DATA ENGINEER - SC CLEARED NEW PERMANENT OPPORTUNITY AVAILABLE FOR AN SC CLEARED PYTHON ENGINEER WITH DATA ENGINEERING EXPERIENCE Salary: Up to £75,000 Location: Cardiff Working Pattern: Hybrid Clearance: SC Clearance required to start Type: Permanent I'm currently working with a leading technology consultancy delivering a range of complex digital and data projects across the public sector. They're looking for a Senior Python / Data Engineer to join their growing engineering team in Cardiff. This role could be a great fit for someone from a strong backend Python / software engineering background who has experience working with data, cloud platforms or data-intensive applications. You don't need to have worked across every area of data engineering - strong software engineering fundamentals are key. THE ROLE You'll work as a hands-on senior engineer, designing and building modern data platforms, services and applications for public sector clients. You'll be involved across the engineering lifecycle, working with Python, cloud technologies, data pipelines and modern software engineering practices. You'll also have the opportunity to work closely with clients and support the development of other engineers. Key responsibilities Developing high-quality, production-ready Python applications and services Building and maintaining data pipelines, including ETL/ELT and batch/streaming workloads Working with cloud platforms including AWS, Azure or GCP Designing and integrating APIs, databases and data services Applying software engineering principles including SOLID, DRY and TDD Using Git and CI/CD pipelines to maintain code quality and support deployments Working with data transformation, cleansing and standardisation Supporting modern data architectures including data lakes and data warehouses Using Terraform / Infrastructure as Code to build and manage environments Implementing logging, monitoring and alerting across production systems Working with technologies such as Pandas, Pydantic, Airflow, AWS Glue, Docker, JSON and Parquet Working alongside data scientists, engineers and multidisciplinary delivery teams Supporting and mentoring other engineers and sharing technical knowledge WHAT WE'RE LOOKING FOR We're particularly interested in engineers with: Strong commercial experience with Python A solid understanding of backend / software engineering principles Experience working with AWS, Azure or GCP Experience with Git, CI/CD and automated testing Knowledge of databases and data processing Experience building or working with APIs, services or data pipelines Understanding of ETL/ELT and data engineering principles Experience with Terraform or another Infrastructure as Code tool Experience working in modern Agile engineering environments Strong communication skills and the ability to work with technical and non-technical stakeholders Active SC Clearance DESIRABLE Airflow or AWS Glue Pandas / Pydantic Docker Data lakes / data warehouses Batch and streaming systems Data quality and schema management Experience productionising machine learning or data science solutions Consultancy experience Public sector experience Pair programming / mob programming Experience working within multidisciplinary technology teams You don't need to tick every box. If you're a strong Senior Python / Backend Engineer with some experience around data, cloud or data platforms, I'd still be keen to speak with you. To apply, send your CV to

SENIOR PYTHON / DATA ENGINEER - SC CLEARED NEW PERMANENT OPPORTUNITY AVAILABLE FOR AN SC CLEARED PYTHON ENGINEER WITH DATA ENGINEERING EXPERIENCE Salary: Up to £75,000 Location: Manchester Working Pattern: Hybrid Clearance: SC Clearance required to start Type: Permanent I'm currently working with a leading technology consultancy delivering a range of complex digital and data projects across the public sector. They're looking for a Senior Python / Data Engineer to join their growing engineering team in Manchester. This role could be a great fit for someone from a strong backend Python / software engineering background who has experience working with data, cloud platforms or data-intensive applications. You don't need to have worked across every area of data engineering - strong software engineering fundamentals are key. THE ROLE You'll work as a hands-on senior engineer, designing and building modern data platforms, services and applications for public sector clients. You'll be involved across the engineering lifecycle, working with Python, cloud technologies, data pipelines and modern software engineering practices. You'll also have the opportunity to work closely with clients and support the development of other engineers. Key responsibilities Developing high-quality, production-ready Python applications and services Building and maintaining data pipelines, including ETL/ELT and batch/streaming workloads Working with cloud platforms including AWS, Azure or GCP Designing and integrating APIs, databases and data services Applying software engineering principles including SOLID, DRY and TDD Using Git and CI/CD pipelines to maintain code quality and support deployments Working with data transformation, cleansing and standardisation Supporting modern data architectures including data lakes and data warehouses Using Terraform / Infrastructure as Code to build and manage environments Implementing logging, monitoring and alerting across production systems Working with technologies such as Pandas, Pydantic, Airflow, AWS Glue, Docker, JSON and Parquet Working alongside data scientists, engineers and multidisciplinary delivery teams Supporting and mentoring other engineers and sharing technical knowledge WHAT WE'RE LOOKING FOR We're particularly interested in engineers with: Strong commercial experience with Python A solid understanding of backend / software engineering principles Experience working with AWS, Azure or GCP Experience with Git, CI/CD and automated testing Knowledge of databases and data processing Experience building or working with APIs, services or data pipelines Understanding of ETL/ELT and data engineering principles Experience with Terraform or another Infrastructure as Code tool Experience working in modern Agile engineering environments Strong communication skills and the ability to work with technical and non-technical stakeholders Active SC Clearance DESIRABLE Airflow or AWS Glue Pandas / Pydantic Docker Data lakes / data warehouses Batch and streaming systems Data quality and schema management Experience productionising machine learning or data science solutions Consultancy experience Public sector experience Pair programming / mob programming Experience working within multidisciplinary technology teams You don't need to tick every box. If you're a strong Senior Python / Backend Engineer with some experience around data, cloud or data platforms, I'd still be keen to speak with you. To apply, send your CV to

IT Senior Service Manager Position: Senior Service Manager Location: Ringwood, Hampshire + Hybrid home working (non-contractual) Salary: £40,000 + Overtime + Benefits + Company Profit Share Hours: 37.5 hours per week The Role Working in a team of three Senior Service Managers, reporting to the Service Delivery Manager, you will form part of a well-established service management team. You will be helping to lead the delivery of high-quality IT support services and drive continuous improvement across our operational environment. You will be responsible, as a team, for the delivery of our support services. You will take responsibility for the end to end customer experience, ensuring service excellence through effective alignment of people, processes and technology. You will identify improvement opportunities, drive change, and ensure ISO management systems are actively promoted and embedded across the support team. As a Senior Service Manager, you will manage a team of Service Managers and 2nd Line Technicians to their full potential. Duties Include: Identify and mitigate risks which could impact our services, performance or compliance. Produce and interpret departmental KPI reports to assess operational performance, monitor efficiency, identify risks, and recommend improvements to support department objectives. Act as a key representative for the support department during service transitions, change initiatives, and project delivery. Champion our commitment to ISO management systems within the support team, embedding best practice and continuous improvement. Skills and Experience: Experience in Service Delivery or IT Service Management (three years preferred), with proven people management experience, a strong track record managing incidents, problems, and major incidents. Solid understanding of IT support environments, ideally with previous hands-on troubleshooting or IT operations experience. Experience and knowledge of using ITIL best practice. Excellent communication and stakeholder management skills, manage escalations professionally, and present confidently. Strong analytical and reporting ability. Ability to learn new technologies quickly. Organised and adaptable, capable of managing multiple priorities and performing effectively under pressure. Proactive and improvement focused, committed to continuous learning, professional development, and raising service standards. The role is subject to a standard clear DBS being received. The Package: Company Profit Share (first £3,600 is tax free). 22 days annual leave plus bank holidays, increasing with length of service. Birthday as additional paid leave. Additional paid leave (dependent on company performance). Company sick pay policy. Pension Scheme. Private Medical Insurance including dental. Free Parking. Hybrid Working. Progression opportunities. Fresh fruit, the occasional pizza and a posh coffee machine! Trusted Technology Partnership Trusted Technology Partnership has been a specialist IT Infrastructure and Support Services provider for over 25 years. We are an Employee Ownership Trust. We are proud winners of Best Place to Work award and overall winner of the Ringwood Business Awards 2024. Our core services include support desk, on-site engineering, project management and delivery, storage and logistics, software development and technical consultancy. We encourage progression within Trusted Technology Partnership for our colleagues, offering opportunities in other teams and departments. Join our friendly company, where a great team and a positive culture await you.

Turn analytical thinking into real-world security solutions. Join Tetra Tech's growing Security team and develop your career alongside experienced security professionals, working on complex built-environment projects where engineering, technology, data and security come together. Purpose & Scope of the Role As an Assistant Security Consultant, you'll help design, develop, implement and assess physical, technical, personnel and personal security solutions, including their increasing convergence with cyber security. This is a broad, hands-on development role for someone curious about how security challenges can be solved through engineering, analytical thinking and technology. You'll work across live projects, applying data and modelling techniques, developing assessment methodologies and helping turn security requirements into practical, proportionate solutions. Your Impact in this position You'll contribute to prestigious projects across the UK, working alongside security specialists, engineers and multidisciplinary project teams. From assessing threats, vulnerabilities and risks to exploring innovative technologies and improving security processes, you'll help clients make informed decisions that protect people, places and assets. With structured development and support from senior security professionals, you'll build technical capability across multiple security disciplines while working towards professional recognition. 5 Core Capabilities Security Risk & Analysis Undertake threat, vulnerability and risk assessments, critically evaluating information and challenging assumptions to support robust decisions. Technical & Data-Led Problem Solving Apply modelling, data and analytical techniques to real-world security problems, with opportunities to develop skills in Python, data science, machine learning and emerging technologies. Security Design & Implementation Support security strategies, technical designs and guidance, identifying creative and proportionate solutions to complex engineering challenges. Collaboration & Communication Build effective relationships with technical and non-technical stakeholders, communicating complex information clearly and contributing confidently within multidisciplinary teams. Continuous Improvement & Innovation Help develop methodologies, processes, templates and tools while bringing curiosity, attention to detail and fresh thinking to evolving security challenges. Training, Qualifications & Experience You'll ideally hold a relevant degree or equivalent technical qualification in security, engineering or another built-environment discipline. Previous experience across every security area isn't expected: our graduate training programme provides structured development, professional mentoring and support towards recognised professional membership and chartered status. You'll need strong analytical and communication skills, confidence using Microsoft Office and the ability to manage priorities while maintaining technical quality. UK Government Developed Vetting is required. You must therefore be a sole UK national and have been resident in the UK for at least the previous 10 years. Working Environment You'll initially be based within the M25 in North-West London, working from the office a minimum of four days per week. The role includes regular visits to client sites across South-East England and occasional travel to client, supplier and Tetra Tech locations elsewhere in the UK. The working pattern is predominantly office and project-site based due to the security requirements and collaborative nature of the role, with limited scope for hybrid or remote working where project and security requirements allow. You must have a full UK driving license and access to a car as the project sites are not easily accessible by public transport. Why Join Tetra Tech? Tetra Tech is a leading provider of consulting and engineering services working across the full project lifecycle worldwide. We have a wide range of expertise across our teams, providing a global support network with a personalised approach to client relationships to better understand where we can add value. We provide a collaborative environment that supports individual performance, innovation, and creativity. We support public and private sector clients on local, national, and international projects to deliver sustainable and resilient solutions. Our operations in the UK, Ireland, and the Netherlands include more than 6,000 employees who are Leading with Science to solve our clients' most complex problems. In alignment with the Equality Act 2010, we will make reasonable adjustments to support candidates and employees requiring additional arrangements. This could include adaptations to work schedules, training approaches, or the physical workspace. Please inform us if you need any accommodations during the recruitment process or in your day-to-day role

Location: Crawley, United Kingdom Thales is a global technology leader with more than 83,000 employees on five continents. With over 7,500 people in the UK, operating across defence, space, aerospace, and digital security, we help build a future we can all trust. Thales supports the security and stability of our nation by providing extraordinary technology to our customers, as well as delivering social value to the UK with our products and services. DDCC Head of Engineering Crawley - Hybrid (Relocation support can be provided) About cortAIx and Thales: At Thales, we focus on building and delivering robust, real-world AI and Data solutions that make a tangible impact for our customers-and society at large. Our global cortAIx initiative unites over 600 AI and data specialists dedicated to developing trusted, operationally effective AI-powered systems for some of the most challenging and complex environments. In the UK, CortAIx is accelerating this mission by fostering technology, talent, and research focused on ethical, transparent, and explainable AI. Primary Purpose of the Role: DDCC is Thales UK's Digital and Data Competence Centre. This includes 3 primary areas of activity: cortAIx UK & Enterprise AI: Our AI incubation and industrialisation accelerator for deployed and enterprise AI solutions Data Enablement: Delivering foundational data tools, processes and architectures to support generation of value from data at pace Sovereign Cloud: Delivering cloud native platform solutions for Thales UK development and production activities The DDCC Head of Engineering role is focused on technical management of engineering activities primarily supporting cortAIx UK. They manage and monitor the solution engineering activities and the teams in terms of development process, practices and tools strategies across DDCC engineering activities What are we looking for: We're looking for an experienced Software Engineer who understands architecture and can provide cross functional leadership to a small, technical complex team to drive developments. This is very much a hands-on position, leading solution delivery by working with teams across Software, Systems, IVVQ, AI and Machine Learning. We need a solution provider, a force multiplier whose expertise sit in the delivery management of technical solutions but also can manage a small team of functional leaders and understands software architecture within safety critical environments. Due to the nature of the work, we require the successful individual to be able to hold UK EYES ONLY Security clearance. See below for further details. As DDCC Head of Engineering, your remit will cover: Stakeholder management: 1st point of contact for customer technical requirements/escalation points for scrum teams Governance: enforce technical direction; resolve cross-team conflicts. Talent development: hiring strategy, career ladders, mentoring systems, cross-discipline performance processes/escalation point. Change management: improving engineering effectiveness (e.g., test maturity, CI reliability, coding standards). Communication: translate leadership communication and analyse/describe impact to roadmap and trade-offs. Cross-team integration: coordinating platform, software, test/automation and support needs Quality, Safety, Cyber Assurance: verification strategy, traceability, defect management and Project Design Authority co-ordination/delivery Process/tooling: CI/CD for embedded, static analysis, unit/integration test frameworks, hardware-in-the-loop (HIL) testing, configuration management. Risk management: project technical risks reviews and management in conjunction AIDM Key Responsibilities and Tasks: Strategic Leadership Develop and execute the engineering strategy for AI products and platforms. Accountable for the technology roadmaps aligned to business objectives. Partner with executive leadership to identify and prioritise AI opportunities. Build a culture of innovation, experimentation, accountability, and continuous improvement. Act as a trusted advisor on emerging AI technologies, trends, and risks. Engineering Leadership Lead, coach, and develop Engineering Managers, Principal Engineers, AI Engineers and SW Engineers Build and scale high-performing, diverse engineering teams. Establish engineering standards, architecture principles, and delivery practices. Drive operational excellence across reliability, security, performance, and scalability. Foster a strong engineering culture focused on quality and customer outcomes. Operational Excellence Define the process for and track engineering metrics including but not limited to: Reliability Deployment frequency Lead time Platform utilisation Cost efficiency Drive automation throughout the software and AI lifecycle. Success Measures Within the first 12-24 months: Delivery of measurable business value from AI initiatives. Improved engineering productivity and deployment frequency High employee engagement and retention. Successful implementation of AI & Engineering governance frameworks. Core Skills and Experience required You will likely have academic qualifications in a relevant Engineering / Computer Science Discipline and will have experience among the following types of positions: Engineering Manager, Technical Project Manager, Software Engineering Manager, Technical Design Authority, Senior Systems / Solution Architecture roles in a relevant discipline You have worked on complex programmes in highly regulated environments /w defence / aerospace specific experience being of additional value You know how to verify the technical deliverables of engineering teams (customer needs, OCD, requirements, architecture choice ) You are able to lead and manage technical engineering projects, meeting the requirements with a clear view of the risks and opportunities You have significant experience in developing high quality technical documentation aligned to specified processes and frameworks You are able to engage and influence a diverse set of stakeholders as well as creating clear and achievable goals You are able to take decisions - even in uncertain contexts You are able to drive a culture of continuous improvement Experience of having delivered operational AI solutions into embedded environments would be advantageous or knowledge/qualifications/experience that suggest you can quickly learn tools and processes which enable the establishment and smooth running of an MLOps and AI delivery organisation in a complex environment Security Clearance Due the nature of the work that we do at Thales, many of our roles are subject to security restrictions. This role requires you to hold British Nationality, dual nationality can be considered. It would be advantageous if Security Clearance is currently held, however, if not currently held, it is a requirement that the successful applicant undergo, achieve, and maintain SC Clearance prior to commencing employment. Please visit the UKSV website for further guidance- United Kingdom Security Vetting - GOV.UK ( ) To be eligible for full SC, you generally need to have resided in the UK for the last 5 years. In some circumstances, a minimum of 3 years' residence in the UK over the last 5 years may be accepted, with additional overseas checks. Your Career at Thales UK Future opportunities will allow you to discover other domains or sites. You will be able to evolve and grow your Competencies in different areas: Room and attention to personal development Build your talents in another domain of Thales Group, discovering new products, new customers, new country or go to a more complex Solution Choose between a technical expertise or a leadership path Build an international career within a leading Engineering Group What we can offer We are committed to giving you opportunities to be your best. We believe in embracing the passion and potential of our people, and to achieve this we offer market leading training, development and experiences, along with the opportunity to be mentored and coached by some of the smartest minds in the industry. We hire from within as our first priority, so you'll have a myriad of opportunities within our diverse, global organisation. Our packages will include significant bonus, a strong pension contribution, private healthcare, development focused targets and relocation support can be provided if required along with a variety of learning, development and career enhancement opportunities. Further support can be provided towards academic and membership attainments. At Thales, we ensure equal opportunities, pay and working conditions for all. The benefits we offer include private medical insurance, buying or selling annual leave, cycle to work schemes, employee discounts, paid volunteering day, stocks and shares, annual bonus and much more depending on the role. Read more about our benefits here. We are committed to creating a workplace where everyone feels valued for who they are and the unique strengths they bring. Discover more about our programmes, employee networks, wellbeing policies, and inclusive features here click apply for full job details

Senior Data Product Manager, Prototyping & Innovation We are currently recruiting for a Senior Data Product Manager with Broking experience to join one of our Insurance clients on a 6-month contract. Inside IR35 Hybrid- 2 days a week onsite in London Key responsibilities Work with business stakeholders and domain specialists to understand decisions, workflows, pain points, and opportunities that could be addressed through data products. Convert broad or ambiguous challenges into clear problem statements, target users, desired outcomes, hypotheses, and measurable product objectives. Assess product opportunities based on business value, user need, data readiness, technical feasibility, scalability, and alignment with the broader data-product portfolio. Identify when a request should become a reusable product and when a simpler analytical or process solution is more appropriate. Personally build working proofs of concept using tools such as SQL, Python, Databricks, Power BI, AI tooling, and appropriate low-code platforms. Explore and profile data to understand quality, coverage, structure, limitations, and suitability for the intended use case. Use prototypes to test product concepts with users, expose assumptions, and generate evidence before significant engineering investment. Work with data engineers, architects, analysts, and platform specialists to determine how successful prototypes should be industrialised. Ensure prototype work is appropriately transitioned into maintainable, governed, and scalable solutions rather than becoming unsupported production tooling. Own selected data products from discovery through prototype, development, launch, adoption, and improvement. Partner closely with engineering while retaining clear accountability for the problem, user outcome, and product value. Experience 5-8+ years of relevant experience across data, analytics, technology, or digital products, including substantial ownership of data-enabled products or solutions. Strong evidence of solving ambiguous business problems and converting them into practical, evidence-based solutions. Hands-on ability to interrogate data and build working prototypes using several of SQL, Python, Databricks, Power BI, AI tooling, or low-code tools. Commercial insurance, insurance broking, specialty insurance, claims, placement, portfolio analytics, or underwriting experience. Experience with data mesh, domain-oriented data products, common data models, data contracts, metadata, and data governance. Experience industrialising analytical prototypes with data-engineering and architecture teams. Experience integrating generative AI or machine learning into business products. Familiarity with regulated environments and the responsible use of commercially sensitive data. Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.

White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners Represent Capital One in external ML/AI technical forums, contributing to industry discussions Develop and advocate for strategies to proactively manage technical debt across ML/AI systems Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Python and ML engineering Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer-facing ML/AI architectures Proven experience setting a multi-team ML/AI technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving ML engineering standards and best practices across organisations Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems Experience leveraging enterprise platforms to deliver business use cases at scale Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Office based opportunity I'm working with a business that's investing heavily in AI and building products used across multiple professional services sectors. What will you actually be doing? Getting under the skin of AI products, analysing user behaviour, output quality, performance trends and areas where things aren't working as expected. Building dashboards, defining KPIs and using SQL and Python to turn complex datasets into meaningful insights. Working closely with AI engineers and product teams to evaluate LLM outputs, identify regressions and understand whether new features are genuinely improving performance. Developing evaluation datasets and scoring frameworks to measure AI accuracy, reliability and quality. Looking beyond the obvious numbers, whether that's understanding why certain users abandon tasks, why answers are being regenerated or why performance varies between different types of queries. Presenting your findings directly to senior stakeholders and helping influence product priorities and future investment. What kind of background would work? You could be a Product Analyst, Senior Data Analyst, AI Analyst, Data Science Consultant or someone working in AI evaluation. Interested in people who bring a combination of: Strong SQL and Python skills, with experience independently building analysis and dashboards. Product analytics, including KPIs, experimentation, user behaviour, segmentation or A/B testing. Exposure to AI, machine learning, generative AI or LLM-powered products. An understanding of how AI systems are evaluated, ideally including model output quality, scoring frameworks or evaluation datasets. Experience working with technical teams and translating complex findings into clear business recommendations. The confidence to challenge decisions and back up your recommendations with evidence. Why consider it? You'll have the opportunity to establish how AI product performance is measured, help shape the evaluation approach and influence how these products develop. You'll work closely with people building AI solutions, have direct exposure to senior decision-makers and see your analysis translate into real product changes. If you're currently working in data, product analytics or AI evaluation and want a role where your work has a much bigger influence on the product itself, we'd love to have a conversation. Get in touch to find out more. 52461MS INDLON The Portfolio Group are acting on behalf of our client in recruiting for this position.

Your new company You will join an Investment Management firm developing the next stage of its portfolio technology platform. The business is looking to add a new AI layer and wants an engineer who can turn that ambition into a secure, dependable capability used by the wider team. You will join an existing operation and work closely with colleagues across the product and technical delivery. Your new role This is a hands-on position spanning AI application development, backend engineering, data integration and production delivery. You will: Design, build and deliver the backend services and APIs that support the new AI layer. Develop controlled integrations with internal data and agreed external information sources, ensuring outputs are current and traceable. Work with a Frontend Engineer to connect the AI capability to the user interface and agree delivery priorities. Build appropriate security controls, including permissions, audit logging and safeguards for sensitive data. Establish automated tests and AI evaluations, then monitor accuracy, reliability, latency and cost once the capability is live. Release iteratively, using feedback from users to improve the product and documenting the systems you build. What you'll need to succeed You will bring strong software-engineering judgement alongside practical experience of building AI systems. We are particularly interested in: Around five or more years' relevant experience in software, machine learning or data engineering, with clear examples of taking applications beyond proof of concept and into production. Strong Python skills and experience developing backend services, APIs and data pipelines; SQL experience would be valuable. Hands-on experience with LLM applications, including areas such as agent workflows, tool use, retrieval or RAG, and connecting models to trusted data. Experience deploying and operating applications on a major cloud platform, with a sound approach to CI/CD, automated testing and monitoring. An understanding of AI evaluation, access controls, data protection and auditability when working with sensitive information. The ability to make pragmatic architectural decisions, collaborate with other engineers and explain technical trade-offs to stakeholders. Experience in investment management, wealth management, fintech or another data-sensitive environment would be advantageous, but demonstrable production AI delivery is the priority. What you'll get in return Competitive bonus package (sign on and yearly) Pension scheme Annual leave Hybrid working arrangements Additional benefits in line with company policy 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, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. 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

We are working with a leading financial services organisation to recruit a Viva Insights Specialist & Data Engineer on a 12-month fixed-term contract. This is an exciting opportunity to take ownership of a Microsoft Viva Insights data environment , ensuring high-quality, accurate and secure organisational data within a complex enterprise environment. You will combine Viva Insights administration, data engineering, data governance and analytics , working closely with HR, People Analytics, Data Science and wider business teams. The Role You will be responsible for managing and improving the Viva Insights data environment, ensuring data is accurate, consistent and fit for purpose. Key responsibilities will include: Managing the Viva Insights data environment. Administering the Microsoft Viva Insights platform. Managing data uploads, validation and cleansing. Overseeing data ingestion through Microsoft 365 systems. Configuring organisational hierarchies and access management. Maintaining data fields, attributes and metadata. Monitoring and improving data quality. Designing and maintaining data pipelines. Integrating Viva Insights with HR systems and survey platforms. Building and maintaining data warehouses and data lakes. Supporting data modelling and transformation. Developing data processing and analysis solutions. Ensuring data is secure, accessible and compliant. Implementing data governance and control frameworks. Supporting audit and compliance requirements. Working with Data Science teams to support advanced analytics. Translating business requirements into effective data solutions. Supporting organisational effectiveness and People Analytics programmes. Providing trusted data for senior leadership reporting. About You We are looking for an experienced Viva Insights and data professional with a strong understanding of complex data environments. You should have: Proven experience administering Microsoft Viva Insights. Experience with the Microsoft 365 Admin Centre. Strong data management and cleansing experience. Experience working with large and complex data environments. Strong understanding of data governance. Experience building and managing data pipelines. Experience integrating data across multiple systems. Strong stakeholder management skills. Ability to work across technical and business teams. Experience working in a complex enterprise environment. Technical Skills You should have experience with: Microsoft Viva Insights. Microsoft 365 and Admin Centre. Data flows and enterprise data environments. Python. SQL, including Hive/Hue. Data manipulation and analysis. Data modelling and transformation. Copilot data management concepts and controls. Desirable Experience Experience in the following areas would be advantageous: HR or People Analytics. Organisational data. Employee survey data integration. Data Science environments. Global or matrixed organisations. Advanced analytics and machine learning projects. What You'll Bring This role would suit a data professional who enjoys working at the intersection of technology, data and people analytics. You will have the opportunity to take ownership of a critical data environment, improve data quality and governance, and enable senior stakeholders to access reliable insights that support organisational decision-making. The role is based from either the Northampton or London office and is offered on a 12-month fixed-term contract.

Role: Senior Cyber Exposure & Vulnerability Manager Location: Corporate Offices / Hybrid (UK) Industry: Financial Services / Insurance (Regulated Environment) Type: Full-Time, Permanent Senior Cyber Exposure & Vulnerability Manager Hands-On AI & Exposure Leader End-to-end operational ownership of enterprise exposure, vulnerability management, and zero-day response capabilities. Drive modern risk-based prioritisation and AI-driven automation across cloud, infrastructure, and application estates. Key focus: Strategy execution, cross-CIO collaboration, backlog reduction, and executive-level governance. About the Opportunity A leading UK financial services organisation is looking for a high-performing Senior Cyber Exposure & Vulnerability Manager to own and evolve its end-to-end vulnerability management and response framework. Reporting directly to the Deputy CISO, you will act as the organizational authority on exposure management. In this hands-on, high-impact role, you will bridge the gap between technical risk and business reality-ensuring vulnerabilities across infrastructure, cloud, and applications are identified, prioritised, remediated, and reported in a disciplined, risk-based manner. Additionally, you will champion the practical application of AI and intelligent automation to modernise triage, threat correlation, and remediation workflows. Key Accountabilities End-to-End Vulnerability Ownership: Own the enterprise lifecycle across infrastructure, cloud, apps, and third-party services-covering scanning, triage, risk prioritisation, mitigation, and verification. Hands-On Delivery & Response: Manage vulnerability backlogs, ageing, high/critical remediation activity, scan coverage, and emergency response to zero-day exposures. AI, Automation & Innovation: Champion the practical use of AI and data-driven insights to optimise triage, reduce false positives, perform root-cause clustering, and automate reporting. Cross-CIO Collaboration: Partner with Engineering, Cloud, Data, and Architecture teams to embed vulnerability response into existing delivery pipelines rather than treating it as a parallel task. Governance & Executive Reporting: Define and track KPIs/KRIs (SLAs, exposure trends, backlog health) and deliver concise, actionable reporting for CIO leadership, Audit, and CISO/Board forums. Risk & Regulatory Support: Align exposure decisions to organizational risk appetite, manage formal risk acceptances, and drive audit and regulatory remediation actions to closure. Required Skills & Experience Enterprise Exposure Experience: Proven track record running vulnerability management and response within complex, highly regulated environments (Financial Services/Insurance preferred). Technical Breadth: Strong hands-on understanding of vulnerability management principles, tooling, and remediation across cloud, hybrid infrastructure, applications, and platforms. Risk-Based Prioritisation: Expertise in context-aware risk scoring (combining CVSS, threat intelligence, asset criticality, attack surface, and business impact). Forward-Looking Mindset: Genuine interest and practical experience in leveraging AI, machine learning, or automated tooling to streamline cyber operations. Influence & Stakeholder Management: Ability to translate complex technical vulnerabilities into clear business risk and drive remediation across engineering teams without relying on formal authority. To Apply If you are an energetic, delivery-focused vulnerability leader looking to drive modern, AI-enabled exposure management within a fast-paced environment, please submit your CV for immediate consideration.