84 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.

MACHINE LEARNING ENGINEERING LEAD UP TO £125,000 LONDON This is an excellent opportunity for an experienced ML Engineering Manager or technical leader to join a high-growth fintech and take ownership of a growing machine learning engineering function. You'll combine hands-on technical contribution with people leadership, helping scale production ML systems while shaping the future direction of the team. THE COMPANY Our client is a growing fintech with a strong engineering culture and investment in data. Machine learning forms a critical part of their technology strategy, creating an environment where engineering teams have a direct impact on business outcomes. As the company continues to scale, they are investing in maturing their ML platform and expanding their engineering capabilities. THE ROLE Responsibilities include but are not limited to: Lead and develop a team of ML and MLOps engineers Own delivery, operational performance, and technical execution across the ML Engineering function Drive the evolution of machine learning infrastructure, deployment pipelines, and MLOps capabilities Contribute hands-on to architecture, platform development, and production ML initiatives Help shape the long-term strategy, growth, and maturity of the ML Engineering function YOUR SKILLS AND EXPERIENCE : Previous people management or engineering leadership experience Strong commercial experience in Software Engineering, ML Engineering, or MLOps environments Experience building, deploying, and supporting machine learning solutions at scale Experience working with AWS and ML tooling such as MLflow, Airflow, Metaflow, or Snowflake Ability to balance technical leadership, strategic thinking, and hands-on engineering contribution SALARY AND BENEFITS Up to £125,000 base salary Contributory pension scheme HOW TO APPLY Please register your interest to Mia Randhawa by sending your CV through the 'Apply' link

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.

FULL STACK SOFTWARE ENGINEER - AI/ML - SECURITY CLEARED NEW PERMANENT OPPORTUNITY AVAILABLE FOR A SC OR MOD DV CLEARED FULL STACK SOFTWARE ENGINEER WITH AN INTEREST IN AI/ML Salary: Up to £90,000 Location: West London Clearance: Active SC or MOD DV Clearance required Employment: Permanent Sector: National Security & Defence To apply, email: Searchability NS&D are working with a growing technology organisation delivering advanced software and AI capabilities across the National Security & Defence sector. They are looking for an all-round Full Stack Software Engineer with an interest in AI/ML to join a highly technical engineering team. This isn't a role where you'll be expected to be a dedicated Machine Learning Engineer or pure frontend developer. We're looking for someone comfortable getting involved across the software stack, solving difficult engineering problems and working alongside AI/ML specialists to turn emerging technology into usable, production-ready software. THE ROLE You'll work across the software development lifecycle, helping to design, build, integrate and deploy applications that make advanced AI and computer vision capabilities accessible to end users. The role could involve: Developing modern full stack applications and user interfaces Building backend services and REST APIs Integrating AI/ML capabilities into software applications Developing tools for image, video and AI visualisation Building scalable and maintainable software Integrating applications, services and workflows Working with data and modern data platforms Contributing to software architecture and technical direction Developing automated tests and CI/CD pipelines Supporting customer demonstrations, trials and deployments Working with AI/ML teams to turn research and models into practical software The balance of frontend, backend, integration and AI/ML work will depend on your experience and interests. WHAT WE'RE LOOKING FOR We're deliberately looking for an all-rounder rather than someone who ticks every box. You'll ideally have several years of commercial Software Engineering experience and be comfortable working across different parts of the technology stack. Experience with some of the following would be valuable: SOFTWARE ENGINEERING Full Stack Software Development Python development JavaScript / TypeScript or similar frontend technologies REST APIs and frameworks such as Flask or Django Git, automated testing and CI/CD Strong software design and engineering practices Linux development environments DATA & INTEGRATION Application or systems integration Databases such as MongoDB or PostgreSQL Data lakes / modern data platforms Event-driven architectures or messaging Building connected workflows between different systems AI / ML Experience working alongside AI/ML or data science teams Exposure to Machine Learning or Computer Vision Python-based ML technologies such as PyTorch ML pipelines or model deployment Image or video processing An interest in integrating AI/ML into production software You don't need experience across all of these areas - a strong software engineer with breadth, curiosity and an interest in AI/ML is exactly what we're looking for. WHY JOIN? You'll be joining a highly technical team working on genuinely challenging software and AI problems, with the opportunity to see your work move from development into real-world operational environments. You'll have the opportunity to: Work alongside experienced Software Engineers, AI/ML specialists and researchers Build software around cutting-edge AI and Computer Vision technology Work across software engineering, integration and AI/ML Influence architecture and technical direction Take ownership of meaningful projects Develop your skills across modern technologies Contribute to products designed for demanding real-world environments SECURITY CLEARANCE Due to the nature of the work, active SC or MOD DV clearance is required for this position. APPLY NOW If you're an SC or MOD DV cleared Software Engineer who enjoys working across the stack and has an interest in AI/ML, Computer Vision or emerging technologies, we'd love to hear from you. You don't need to be an AI expert - we're particularly interested in engineers with a broad technical skillset who want to get closer to this area.

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.

AI Software Engineer - UKSV DV Cleared NEW PERMANENT OPPORTUNITY AVAILABLE FOR AN AI SOFTWARE ENGINEER WITH DV CLEARANCE Salary : Up to £130,000 Location : London Working Pattern: Hybrid Clearance : Active UKSV DV To Apply, email : I'm currently working with a leading AI organisation operating within the National Security space, who are looking for an experienced AI Software Engineer to join their team. This is an opportunity to work on technically challenging projects, focusing on building, deploying and scaling machine learning systems in production environments. The role is heavily focused on Python software engineering, ML deployment and cloud infrastructure, working alongside engineers, data scientists and technical stakeholders to deliver robust, production-grade solutions for complex client challenges. THE ROLE You'll play a key role in taking machine learning models from development into production, building the software, tools and infrastructure required to deploy and operate ML systems reliably at scale. Working across software engineering, cloud architecture and machine learning operations, you'll help develop reusable solutions, influence technical decisions and establish best practices for deploying machine learning in production environments. You'll also work directly with clients and cross-functional teams, helping shape technical solutions, assess feasibility and ensure successful delivery. WHAT YOU'LL BE DOING Building and deploying production-grade machine learning software, tools and infrastructure. Developing reusable, scalable solutions to accelerate the delivery of ML systems. Operationalising machine learning models built using frameworks such as Scikit-learn, TensorFlow or PyTorch. Working across cloud platforms and infrastructure, including architecture and security considerations. Using Docker and Kubernetes to build, deploy and manage applications at scale. Contributing to technical scoping, software architecture and engineering best practices. Collaborating with software engineers, data scientists and commercial teams to solve complex client challenges. Advising customers and partners on technical approaches, translating complex concepts for non-technical stakeholders. Helping define standards and best practices for deploying machine learning systems at scale. WHAT I'M LOOKING FOR Strong Python development skills and a solid understanding of software engineering best practices. Experience taking machine learning models from development through to production. Understanding of the full machine learning lifecycle and experience operationalising models built with frameworks such as Scikit-learn, TensorFlow or PyTorch. Hands-on experience with cloud platforms such as AWS, Azure or GCP, including infrastructure, architecture and security. Experience with Docker and Kubernetes. A sound understanding of core machine learning concepts, including probability, statistics and common learning techniques. Strong communication skills, with the ability to advise technical teams and engage confidently with non-technical stakeholders. The ability to take ownership of technical scope, make informed decisions and deliver solutions in a fast-paced environment. Active UKSV DV clearance. THE OPPORTUNITY You'll join a team working at the intersection of software engineering and machine learning, helping bring ML systems into real-world use across critical client environments. This is a strong opportunity for a software engineer with hands-on ML deployment experience who enjoys solving complex technical problems, building scalable infrastructure and taking ownership of production-grade solutions.

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. 2027 AI Researcher Apprentice - Level 6 Machine Learning Start Date: 06 September 2027 Salary: £24,000 per annum Employee type: Permanent Location: Crawley Working Schedule: Monday - Friday, 37 hours a week (8 hours Monday - Thursday, 5 hours Friday) Turn your curiosity into a career. If you're passionate about artificial intelligence, eager to learn, and looking for a degree apprenticeship that combines academic study with exciting on-the-job experience, we'd love to hear from you. Benefits of the programme: Earn a salary while studying for your degree Gain hands-on experience in a real AI and engineering environment Receive job-specific training and development Achieve a recognised Level 6 qualification Secure a permanent role from the start of your apprenticeship Have your tuition fees fully paid About the Role As an AI Researcher Apprentice, you will develop the technical knowledge, analytical skills and professional behaviours needed to investigate challenging problems and advance the responsible use of artificial intelligence. Working alongside AI researchers, engineers and domain specialists, you will support research and experimentation on live projects, translating questions into evidence-based findings, prototypes and recommendations. Your responsibilities may include: Reviewing technical literature and summarising relevant methods and evidence Designing controlled experiments and defining clear evaluation criteria Preparing data and developing proof-of-concept machine learning models Analysing results, limitations, uncertainty and potential sources of bias Documenting methods and communicating findings through reports, demonstrations and reviews Working with experienced researchers and engineers on live research challenges What You Will Learn Throughout the apprenticeship, you will gain experience and knowledge in: Professional research behaviours, teamwork and industry best practice Research methods, literature review and development of testable hypotheses Statistics, experimental design and reproducible analysis Machine learning principles, algorithms and model evaluation Programming, data handling and rapid prototyping techniques Critical assessment of evidence, uncertainty, robustness and limitations Responsible AI, security, privacy, safety and ethical considerations Clear technical writing, presentation and communication of research outcomes Degree Apprenticeship Programme You will study towards a Level 6 Machine Learning qualification with Corndel, developing the knowledge, skills and behaviours required to build and apply artificial intelligence responsibly in an engineering environment. The programme is delivered through a virtual learning model, combining: Live virtual lecturers Online learning resources Self-directed learning activities This programme covers the full AI lifecycle, from concept and design, through to deployment and governance to provide a strong foundation for your role at Thales. Entry Requirements To apply, you will need: A Levels Three A Levels Grade B or above in Maths At least one other relevant subject (Physics, Computer Science, Software, ICT) Or Level 4/5 apprenticeship in a relevant discipline GCSEs Minimum of five GCSEs at Grade 4/C or above Must include: English Language Mathematics Please note that Computer Science graduates are not eligible due to funding restrictions. Benefits Competitive salary of £24,000 per annum Performance-related pay uplifts Holiday entitlement of 201 hours a year (plus a company day and bank holidays) Contributory Company Pension Health Care Cash Plan Hybrid/flexible working options Employee assistance programme Learning and development support Employee discounts and wellbeing initiatives Life Cover 80 Hours Volunteering per year (first two years) Thales Apprentice Recruitment Process 1. Apply Online - submit your application online to register your interest. You only need to register for one role as you will have the opportunity to apply for additional roles at the full application stage. 2. Upload Your CV 3. Check your emails for the invitation to apply - this will comefrom 4. Complete Your Application - follow the link provided in the email to complete your application. You can apply for one primary role and up to 3 additional roles. 5. Complete Online Tests - undertake the online assessments designed to evaluate your suitability for the role. 6. Virtual Assessment Centre - candidates who progress from the online assessment stage will attend a virtual assessment centre, which will include group exercises, and competency-based interviews. 7. Job Offer - successful candidates who perform well throughout the recruitment process will receive a job offer from Thales. For further information about our Future Talent recruitment process, including hints and tips, or to connect with a member of the Future Talent Team, a Graduate, or an Apprentice, please visit Thales Future Talent - Connectr . Please note, assessment centres for shortlisted candidates will be held between February - May 2027. Induction week for all Graduate and Apprentices will take place from Monday 6 September - Friday 10 September 2027. Closing date: Our applications will close at 11.59pm on Wednesday 17 February 2027, this is the only time we will be accepting applications this year. Please note, we will be in contact by the end of February 2027 with details of next steps. PLEASE NOTE THAT ROLES MAY CLOSE EARLIER THAN THE ADVERTISED DEADLINE IF WE RECEIVE A HIGH NUMER OF APPLICATIONS. WE ENCOURAGE YOU TO APPLY AS SOON AS POSSIBLE TO AVOID MISSING OUT ON THIS OPPORTUNITY. Because of the work we do at Thales, all roles are subject to security requirements. To be considered for this position, you must have the permanent right to work in the UK and be able to successfully complete and maintain UK Government security checks, including Baseline Personnel Security Standard (BPSS) screening and Security Clearance (SC), which is a government background check, before starting employment. To be eligible for SC clearance, you will typically need to have lived in the UK continuously for the last five years. As part of the vetting process, you will be asked to provide evidence of your identity, right to work in the UK, any time spent overseas during the last five years, and your employment and/or education history. For further details of the evidence required to apply for security clearance please follow this link - . Thales is an equal opportunities employer and diversity, and inclusion are integral to the success of Thales. 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. If this role isn't quite right for you, we encourage you to join our talent community where your details will be shared with our recruitment teams for other potential opportunities. Join the Talent Community here. Join Thales in the UK - Innovate with us and shape the future!