Quantitative Trading & Research (QTR) is an expert quantitative modelling group that partners with traders, marketers and risk managers across products and regions, promoting client interaction, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making, and financial risk controls. We are seeking an experienced Vice President to join our QTR team in London, where you will develop analytics for the Credit Portfolio Group (CPG) within the Markets division of the Commercial and Investment Bank. CPG manages the firm's credit and funding valuation adjustments (CVA and FVA), which are critical to the bank's risk management and pricing strategies, and develops and maintains a large-scale Monte-Carlo engine using advanced numerical and computational techniques, including Adjoint Analytic Differentiation (AAD). As an experienced Vice President in the Quantitative Trading & Research - Credit Portfolio team, you will contribute to our agenda to transform the investment bank into a data-promoted business, promoting change through state-of-the-art AI and machine learning techniques. Job Responsibilities Design, develop, and enhance our large-scale Monte Carlo simulation engine used for computing Credit Valuation Adjustment (CVA) and Funding Valuation Adjustment (FVA) across the firm's derivatives portfolio. Implement advanced numerical techniques to further improve computational efficiency and accuracy of risk sensitivities. Contribute to the firm's strategic agenda of transforming the investment bank into a data-driven business through the development of scalable, high-performance analytical tools and infrastructure. Collaborate with technology teams, ensuring robustness, performance, and maintainability of code in a large-scale production environment. Partner closely with traders, marketers, and risk managers across all products and regions to deliver analytical solutions that meet business needs. Drive best practices in quantitative research, software development, and analytical rigor across the team. Required qualifications, capabilities, and skills Solid experience within a quantitative role in finance Degree in a quantitative field such as Computer Science, Engineering, Mathematics, or Physics Demonstrate expert-level programming skills, particularly in Python, with experience leading development of large-scale, production-grade systems and mentoring others in best coding practices. Proven ability to lead technical projects from conception through delivery, including architecture decisions and stakeholder management Champion robust system and solution architecture, ensuring rigorous testing, verification, and adherence to best practices in design and implementation across teams. Deep software engineering, algorithm design, and development skills with a commitment to robust testing, verification, and code quality standards Exceptional communication and influencing skills, both verbal and written, with a demonstrated ability to engage and advise senior partners and stakeholders on complex and technical topics with precision and clarity Preferred qualifications, capabilities, and skills Advanced degree (e.g. PhD) in Engineering, Mathematics, Physics or Computer Science Markets experience and familiarity with general trading concepts and terminology Knowledge of options pricing theory, trading algorithms or financial regulations Experience with robust testing and verification practices
May 08, 2026
Full time
Quantitative Trading & Research (QTR) is an expert quantitative modelling group that partners with traders, marketers and risk managers across products and regions, promoting client interaction, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making, and financial risk controls. We are seeking an experienced Vice President to join our QTR team in London, where you will develop analytics for the Credit Portfolio Group (CPG) within the Markets division of the Commercial and Investment Bank. CPG manages the firm's credit and funding valuation adjustments (CVA and FVA), which are critical to the bank's risk management and pricing strategies, and develops and maintains a large-scale Monte-Carlo engine using advanced numerical and computational techniques, including Adjoint Analytic Differentiation (AAD). As an experienced Vice President in the Quantitative Trading & Research - Credit Portfolio team, you will contribute to our agenda to transform the investment bank into a data-promoted business, promoting change through state-of-the-art AI and machine learning techniques. Job Responsibilities Design, develop, and enhance our large-scale Monte Carlo simulation engine used for computing Credit Valuation Adjustment (CVA) and Funding Valuation Adjustment (FVA) across the firm's derivatives portfolio. Implement advanced numerical techniques to further improve computational efficiency and accuracy of risk sensitivities. Contribute to the firm's strategic agenda of transforming the investment bank into a data-driven business through the development of scalable, high-performance analytical tools and infrastructure. Collaborate with technology teams, ensuring robustness, performance, and maintainability of code in a large-scale production environment. Partner closely with traders, marketers, and risk managers across all products and regions to deliver analytical solutions that meet business needs. Drive best practices in quantitative research, software development, and analytical rigor across the team. Required qualifications, capabilities, and skills Solid experience within a quantitative role in finance Degree in a quantitative field such as Computer Science, Engineering, Mathematics, or Physics Demonstrate expert-level programming skills, particularly in Python, with experience leading development of large-scale, production-grade systems and mentoring others in best coding practices. Proven ability to lead technical projects from conception through delivery, including architecture decisions and stakeholder management Champion robust system and solution architecture, ensuring rigorous testing, verification, and adherence to best practices in design and implementation across teams. Deep software engineering, algorithm design, and development skills with a commitment to robust testing, verification, and code quality standards Exceptional communication and influencing skills, both verbal and written, with a demonstrated ability to engage and advise senior partners and stakeholders on complex and technical topics with precision and clarity Preferred qualifications, capabilities, and skills Advanced degree (e.g. PhD) in Engineering, Mathematics, Physics or Computer Science Markets experience and familiarity with general trading concepts and terminology Knowledge of options pricing theory, trading algorithms or financial regulations Experience with robust testing and verification practices
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do Are you passionate about harnessing the power of Generative AI to solve real-world problems? As a world-renowned and leading AI Consulting firm, we are actively seeking hands-on GenAI experts to join our PSG BI&A Team. As a GenAI IT Senior Data Scientist you will work closely with our Partner Services Group to understand their key challenges, define GenAI products, win buy-in for your recommendations and collaborate with other IT teams to transform stakeholder potentials into performance. Finally, as a GenAI IT Senior Data Scientist, you will contribute to PSG BI&A Data Science expertise and will be responsible for overseeing end-to-end Data Science and GenAI solutions, collaborating closely with the BI&A Squad to deliver on stakeholder objectives. What You'll Bring We're looking for exceptional talent with experience in core Data Science and AI to join us. You will typically have: • +4 years experience in IT strategy and consulting, professional software development or Data Science product organisation. • A bachelor's or master's degree in computer science, Engineering, or a related field. Preferably with a focus on artificial intelligence, machine learning, or data science. • Strong Data Science experience with proficiency in Python, Snowflake, DBT and Tableau with experience working in a Data Engineering team and a proven ability to communicate effectively and provide clear, actionable insights to senior stakeholders • Strong technical expertise in Generative AI, Data Science and Machine Learning. • A strategic thinker, entrepreneurial, able to work creatively and analytically in a problem-solving environment • Outstanding analytical and conceptual skills, strong customer focus and mental agility with a results orientation • Sound understanding of GenAI solution constructs e.g., LLMs, RAG, Guardrails, MLOps and multi-modality • Experience managing and executing data science and AI projects, from ideation to deployment, while ensuring alignment with business objectives and delivering impactful outcomes • Understanding of various GenAI platform & middleware and how they fit in GenAI architecture e.g., AWS Bedrock, Google Vertex, Langchain or LlamaIndex • Able to understand & apply advanced prompt engineering methods and related concepts (RAG, context windows, memory) RAG is a must! • Experience in the organisation of workshops at peer level and facilitating meetings • Ability to work autonomously while contributing effectively as part of a team • Strong business acumen; can frame complex problems in appropriate business contexts • Highly professional and rigorous, results-oriented, driven and hard-working • Have excellent verbal and written communication skills in English • Loyal and reliable, possessing the highest ethical standard • Good interpersonal skills but also judgement independency and autonomy • Ability to propose innovative ideas, build empathy within the firm and win the trust of key stakeholders Who You'll Work With You will be part of the PSG BI&A Squad and our IT Functional Technology team, partnering with the AI Center of Excellence (AI CoE), Genie team, Responsible AI, and Security/Architecture teams. Together, you'll deliver scalable, secure, and innovative GenAI solutions that will transform how PSG teams engage with technology. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
May 08, 2026
Full time
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do Are you passionate about harnessing the power of Generative AI to solve real-world problems? As a world-renowned and leading AI Consulting firm, we are actively seeking hands-on GenAI experts to join our PSG BI&A Team. As a GenAI IT Senior Data Scientist you will work closely with our Partner Services Group to understand their key challenges, define GenAI products, win buy-in for your recommendations and collaborate with other IT teams to transform stakeholder potentials into performance. Finally, as a GenAI IT Senior Data Scientist, you will contribute to PSG BI&A Data Science expertise and will be responsible for overseeing end-to-end Data Science and GenAI solutions, collaborating closely with the BI&A Squad to deliver on stakeholder objectives. What You'll Bring We're looking for exceptional talent with experience in core Data Science and AI to join us. You will typically have: • +4 years experience in IT strategy and consulting, professional software development or Data Science product organisation. • A bachelor's or master's degree in computer science, Engineering, or a related field. Preferably with a focus on artificial intelligence, machine learning, or data science. • Strong Data Science experience with proficiency in Python, Snowflake, DBT and Tableau with experience working in a Data Engineering team and a proven ability to communicate effectively and provide clear, actionable insights to senior stakeholders • Strong technical expertise in Generative AI, Data Science and Machine Learning. • A strategic thinker, entrepreneurial, able to work creatively and analytically in a problem-solving environment • Outstanding analytical and conceptual skills, strong customer focus and mental agility with a results orientation • Sound understanding of GenAI solution constructs e.g., LLMs, RAG, Guardrails, MLOps and multi-modality • Experience managing and executing data science and AI projects, from ideation to deployment, while ensuring alignment with business objectives and delivering impactful outcomes • Understanding of various GenAI platform & middleware and how they fit in GenAI architecture e.g., AWS Bedrock, Google Vertex, Langchain or LlamaIndex • Able to understand & apply advanced prompt engineering methods and related concepts (RAG, context windows, memory) RAG is a must! • Experience in the organisation of workshops at peer level and facilitating meetings • Ability to work autonomously while contributing effectively as part of a team • Strong business acumen; can frame complex problems in appropriate business contexts • Highly professional and rigorous, results-oriented, driven and hard-working • Have excellent verbal and written communication skills in English • Loyal and reliable, possessing the highest ethical standard • Good interpersonal skills but also judgement independency and autonomy • Ability to propose innovative ideas, build empathy within the firm and win the trust of key stakeholders Who You'll Work With You will be part of the PSG BI&A Squad and our IT Functional Technology team, partnering with the AI Center of Excellence (AI CoE), Genie team, Responsible AI, and Security/Architecture teams. Together, you'll deliver scalable, secure, and innovative GenAI solutions that will transform how PSG teams engage with technology. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do Are you passionate about harnessing the power of Generative AI to solve real-world problems? As a world-renowned and leading AI Consulting firm, we are actively seeking hands-on GenAI experts to join our PSG BI&A Team. As a GenAI IT Senior Data Scientist you will work closely with our Partner Services Group to understand their key challenges, define GenAI products, win buy-in for your recommendations and collaborate with other IT teams to transform stakeholder potentials into performance. Finally, as a GenAI IT Senior Data Scientist, you will contribute to PSG BI&A Data Science expertise and will be responsible for overseeing end-to-end Data Science and GenAI solutions, collaborating closely with the BI&A Squad to deliver on stakeholder objectives. What You'll Bring We're looking for exceptional talent with experience in core Data Science and AI to join us. You will typically have: • +4 years experience in IT strategy and consulting, professional software development or Data Science product organisation. • A bachelor's or master's degree in computer science, Engineering, or a related field. Preferably with a focus on artificial intelligence, machine learning, or data science. • Strong Data Science experience with proficiency in Python, Snowflake, DBT and Tableau with experience working in a Data Engineering team and a proven ability to communicate effectively and provide clear, actionable insights to senior stakeholders • Strong technical expertise in Generative AI, Data Science and Machine Learning. • A strategic thinker, entrepreneurial, able to work creatively and analytically in a problem-solving environment • Outstanding analytical and conceptual skills, strong customer focus and mental agility with a results orientation • Sound understanding of GenAI solution constructs e.g., LLMs, RAG, Guardrails, MLOps and multi-modality • Experience managing and executing data science and AI projects, from ideation to deployment, while ensuring alignment with business objectives and delivering impactful outcomes • Understanding of various GenAI platform & middleware and how they fit in GenAI architecture e.g., AWS Bedrock, Google Vertex, Langchain or LlamaIndex • Able to understand & apply advanced prompt engineering methods and related concepts (RAG, context windows, memory) RAG is a must! • Experience in the organisation of workshops at peer level and facilitating meetings • Ability to work autonomously while contributing effectively as part of a team • Strong business acumen; can frame complex problems in appropriate business contexts • Highly professional and rigorous, results-oriented, driven and hard-working • Have excellent verbal and written communication skills in English • Loyal and reliable, possessing the highest ethical standard • Good interpersonal skills but also judgement independency and autonomy • Ability to propose innovative ideas, build empathy within the firm and win the trust of key stakeholders Who You'll Work With You will be part of the PSG BI&A Squad and our IT Functional Technology team, partnering with the AI Center of Excellence (AI CoE), Genie team, Responsible AI, and Security/Architecture teams. Together, you'll deliver scalable, secure, and innovative GenAI solutions that will transform how PSG teams engage with technology. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
May 08, 2026
Full time
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do Are you passionate about harnessing the power of Generative AI to solve real-world problems? As a world-renowned and leading AI Consulting firm, we are actively seeking hands-on GenAI experts to join our PSG BI&A Team. As a GenAI IT Senior Data Scientist you will work closely with our Partner Services Group to understand their key challenges, define GenAI products, win buy-in for your recommendations and collaborate with other IT teams to transform stakeholder potentials into performance. Finally, as a GenAI IT Senior Data Scientist, you will contribute to PSG BI&A Data Science expertise and will be responsible for overseeing end-to-end Data Science and GenAI solutions, collaborating closely with the BI&A Squad to deliver on stakeholder objectives. What You'll Bring We're looking for exceptional talent with experience in core Data Science and AI to join us. You will typically have: • +4 years experience in IT strategy and consulting, professional software development or Data Science product organisation. • A bachelor's or master's degree in computer science, Engineering, or a related field. Preferably with a focus on artificial intelligence, machine learning, or data science. • Strong Data Science experience with proficiency in Python, Snowflake, DBT and Tableau with experience working in a Data Engineering team and a proven ability to communicate effectively and provide clear, actionable insights to senior stakeholders • Strong technical expertise in Generative AI, Data Science and Machine Learning. • A strategic thinker, entrepreneurial, able to work creatively and analytically in a problem-solving environment • Outstanding analytical and conceptual skills, strong customer focus and mental agility with a results orientation • Sound understanding of GenAI solution constructs e.g., LLMs, RAG, Guardrails, MLOps and multi-modality • Experience managing and executing data science and AI projects, from ideation to deployment, while ensuring alignment with business objectives and delivering impactful outcomes • Understanding of various GenAI platform & middleware and how they fit in GenAI architecture e.g., AWS Bedrock, Google Vertex, Langchain or LlamaIndex • Able to understand & apply advanced prompt engineering methods and related concepts (RAG, context windows, memory) RAG is a must! • Experience in the organisation of workshops at peer level and facilitating meetings • Ability to work autonomously while contributing effectively as part of a team • Strong business acumen; can frame complex problems in appropriate business contexts • Highly professional and rigorous, results-oriented, driven and hard-working • Have excellent verbal and written communication skills in English • Loyal and reliable, possessing the highest ethical standard • Good interpersonal skills but also judgement independency and autonomy • Ability to propose innovative ideas, build empathy within the firm and win the trust of key stakeholders Who You'll Work With You will be part of the PSG BI&A Squad and our IT Functional Technology team, partnering with the AI Center of Excellence (AI CoE), Genie team, Responsible AI, and Security/Architecture teams. Together, you'll deliver scalable, secure, and innovative GenAI solutions that will transform how PSG teams engage with technology. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Senior AI Engineer Location: UK Remote (UK-based candidates only) Salary: 60,000 - 70,000 Employment Type: Full-Time Please note: Sponsorship is not available for this position. Overview A growing organisation is looking for a Senior AI Engineer to help design, build, and scale production-grade AI systems and data platforms used across enterprise environments. This is an opportunity to join a collaborative engineering function focused on building robust AI pipelines, transformation APIs, and scalable backend services that support advanced analytics and machine learning products. The Role As a Senior AI Engineer, you will work closely with Data Scientists and cross-functional technical teams to productionise machine learning models and develop high-performance AI services. You'll contribute across the full engineering lifecycle-from system design and integration through to deployment, monitoring, and optimisation within cloud-native environments. Key Responsibilities Design and maintain scalable AI pipelines and processing workflows Develop and optimise RESTful APIs and microservices for AI services Build cloud-native backend systems aligned with best engineering practices Collaborate with Data Scientists to productionise ML models Improve system performance, observability, reliability, and security Contribute to CI/CD pipelines, automated testing, and infrastructure automation Support integration and interoperability across enterprise platforms Translate technical requirements into scalable, maintainable solutions Required Skills & Experience Strong experience in backend, data, or ML engineering Advanced Python skills and experience with FastAPI, Flask, or Django Experience building scalable APIs and microservices Strong SQL and relational database knowledge (PostgreSQL preferred) Experience with AWS and/or Azure cloud environments Understanding of distributed systems and scalable architectures Exposure to machine learning, NLP, or AI-driven systems Experience with CI/CD pipelines, testing, and containerisation Strong problem-solving and communication skills Technology Stack Python, SQL, FastAPI, PyTorch, Transformers/LLMs, Terraform, Databricks, Kubernetes, AWS, Azure, PostgreSQL, Kafka, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote working within the UK Opportunity to work on cutting-edge AI and machine learning systems Collaborative engineering environment Exposure to modern cloud and AI technologies Strong career growth opportunities within a growing AI function
May 08, 2026
Full time
Senior AI Engineer Location: UK Remote (UK-based candidates only) Salary: 60,000 - 70,000 Employment Type: Full-Time Please note: Sponsorship is not available for this position. Overview A growing organisation is looking for a Senior AI Engineer to help design, build, and scale production-grade AI systems and data platforms used across enterprise environments. This is an opportunity to join a collaborative engineering function focused on building robust AI pipelines, transformation APIs, and scalable backend services that support advanced analytics and machine learning products. The Role As a Senior AI Engineer, you will work closely with Data Scientists and cross-functional technical teams to productionise machine learning models and develop high-performance AI services. You'll contribute across the full engineering lifecycle-from system design and integration through to deployment, monitoring, and optimisation within cloud-native environments. Key Responsibilities Design and maintain scalable AI pipelines and processing workflows Develop and optimise RESTful APIs and microservices for AI services Build cloud-native backend systems aligned with best engineering practices Collaborate with Data Scientists to productionise ML models Improve system performance, observability, reliability, and security Contribute to CI/CD pipelines, automated testing, and infrastructure automation Support integration and interoperability across enterprise platforms Translate technical requirements into scalable, maintainable solutions Required Skills & Experience Strong experience in backend, data, or ML engineering Advanced Python skills and experience with FastAPI, Flask, or Django Experience building scalable APIs and microservices Strong SQL and relational database knowledge (PostgreSQL preferred) Experience with AWS and/or Azure cloud environments Understanding of distributed systems and scalable architectures Exposure to machine learning, NLP, or AI-driven systems Experience with CI/CD pipelines, testing, and containerisation Strong problem-solving and communication skills Technology Stack Python, SQL, FastAPI, PyTorch, Transformers/LLMs, Terraform, Databricks, Kubernetes, AWS, Azure, PostgreSQL, Kafka, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote working within the UK Opportunity to work on cutting-edge AI and machine learning systems Collaborative engineering environment Exposure to modern cloud and AI technologies Strong career growth opportunities within a growing AI function
Senior Platform Engineer Build and operate the platforms that make AI and machine learning work at scale We're looking for a Senior Platform Engineer to join our team and play a key role in designing and operating the platform that underpins AI and machine learning delivery . This is a hands-on senior platform role , focused on building robust, Kubernetes-based platforms that enable MLOps engineers, ML engineers, and data scientists to deploy, run, and manage models safely and effectively in production. While you'll need a strong understanding of how machine learning and LLM workloads are trained, packaged, deployed, and served, this is not a "deploy models all day" role . Instead, your impact will come from creating the infrastructure, tooling, workflows, and guardrails that allow others to do that work reliably and at scale. What you'll be doing You'll be responsible for building a production-grade AI/ML platform , not just running clusters. You will: Design, build, and operate a Kubernetes-based platform that supports multiple ML and engineering teams Extend Kubernetes with MLOps-specific capabilities , rather than treating it as a finished product Provideplatform-level support for: Model development and experimentation Model packaging, deployment, and promotion Scalable inference and LLM-based workloads Build shared platform services that enable consistent, repeatable model deployment , even where day-to-day deployment is owned by MLOps or ML engineers Work closely with data scientists and MLOps engineers to ensure the platform is genuinely usable and fit for purpose Own platform operability, reliability, security, and life cycle management in production Troubleshoot complex issues that cut across infrastructure, Kubernetes, and MLOps layers Contribute to architectural decisions while remaining hands-on with implementation What we're looking for This role is ideal for someone who sees themselves first and foremost as a platform engineer , with the depth to support AI and ML workloads properly. Essential experience: Strong background as a Senior Platform Engineer or Senior DevOps Engineer Deep, hands-on experience building and operating Kubernetes-based platforms Strong practical experience with Helm and Infrastructure as Code (eg Terraform) Proven experience building internal platforms for other engineers , not just running workloads Strong grasp of operational fundamentals: monitoring, logging, reliability, incidents, and maintainability Comfortable collaborating closely with MLOps engineers and data scientists , even where responsibilities differ ML platform & MLOps knowledge (important) You don't need to be a Full time MLOps engineer - but you do need practical understanding of how ML and AI workloads behave in production. Experience or exposure to areas such as: MLOps platforms (eg Kubeflow or similar frameworks) Model serving and inference platforms (eg KServe, vLLM , or equivalent) Supporting LLM-based workloads , including performance and scaling considerations Notebook environments such as JupyterHub Awareness of emerging tooling around Responsible/Trustworthy AI or comparable solutions This ensures you're building a platform that actually works for AI use cases - not a generic compute layer. Desirable experience Working in organisations with a clear AI or data platform strategy Supporting data scientists or ML engineers at scale Experience in regulated, secure, or high-assurance environments Designing platforms that balance flexibility, governance, and control If you enjoy solving hard platform problems and understand that AI places real, specific demands on infrastructure, this role gives you the space and responsibility to make a genuine impact. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
May 08, 2026
Contractor
Senior Platform Engineer Build and operate the platforms that make AI and machine learning work at scale We're looking for a Senior Platform Engineer to join our team and play a key role in designing and operating the platform that underpins AI and machine learning delivery . This is a hands-on senior platform role , focused on building robust, Kubernetes-based platforms that enable MLOps engineers, ML engineers, and data scientists to deploy, run, and manage models safely and effectively in production. While you'll need a strong understanding of how machine learning and LLM workloads are trained, packaged, deployed, and served, this is not a "deploy models all day" role . Instead, your impact will come from creating the infrastructure, tooling, workflows, and guardrails that allow others to do that work reliably and at scale. What you'll be doing You'll be responsible for building a production-grade AI/ML platform , not just running clusters. You will: Design, build, and operate a Kubernetes-based platform that supports multiple ML and engineering teams Extend Kubernetes with MLOps-specific capabilities , rather than treating it as a finished product Provideplatform-level support for: Model development and experimentation Model packaging, deployment, and promotion Scalable inference and LLM-based workloads Build shared platform services that enable consistent, repeatable model deployment , even where day-to-day deployment is owned by MLOps or ML engineers Work closely with data scientists and MLOps engineers to ensure the platform is genuinely usable and fit for purpose Own platform operability, reliability, security, and life cycle management in production Troubleshoot complex issues that cut across infrastructure, Kubernetes, and MLOps layers Contribute to architectural decisions while remaining hands-on with implementation What we're looking for This role is ideal for someone who sees themselves first and foremost as a platform engineer , with the depth to support AI and ML workloads properly. Essential experience: Strong background as a Senior Platform Engineer or Senior DevOps Engineer Deep, hands-on experience building and operating Kubernetes-based platforms Strong practical experience with Helm and Infrastructure as Code (eg Terraform) Proven experience building internal platforms for other engineers , not just running workloads Strong grasp of operational fundamentals: monitoring, logging, reliability, incidents, and maintainability Comfortable collaborating closely with MLOps engineers and data scientists , even where responsibilities differ ML platform & MLOps knowledge (important) You don't need to be a Full time MLOps engineer - but you do need practical understanding of how ML and AI workloads behave in production. Experience or exposure to areas such as: MLOps platforms (eg Kubeflow or similar frameworks) Model serving and inference platforms (eg KServe, vLLM , or equivalent) Supporting LLM-based workloads , including performance and scaling considerations Notebook environments such as JupyterHub Awareness of emerging tooling around Responsible/Trustworthy AI or comparable solutions This ensures you're building a platform that actually works for AI use cases - not a generic compute layer. Desirable experience Working in organisations with a clear AI or data platform strategy Supporting data scientists or ML engineers at scale Experience in regulated, secure, or high-assurance environments Designing platforms that balance flexibility, governance, and control If you enjoy solving hard platform problems and understand that AI places real, specific demands on infrastructure, this role gives you the space and responsibility to make a genuine impact. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Lucid Support Services Ltd
City, Newcastle Upon Tyne
Job Title: Software Developer (Python/AI/Automation) Clearance: SC Contract: 6 months Rate: Dependent on experience/Negotiable (Inside IR35) Location: Flexible, with occasional travel to Newcastle (expenses covered) Roles Available: 4 Overview: We're supporting a central government department on a major transformation programme, aiming to modernise and centralise how financial support services are delivered across the UK. This is an Alpha phase project, meaning you'll be involved right at the early stages - shaping, experimenting, and helping define the future state of a large-scale national service. The Role: You'll be working closely with architects and engineering teams to research, design and prototype solutions for a new, centralised platform. This is a hands-on engineering role with a strong focus on Python development, automation and emerging AI capabilities, rather than purely BAU delivery. Key Responsibilities: Collaborate with architects to explore and define solution approaches Contribute to the design of workflow orchestration and service architecture Support the development of web portal solutions and user-facing components Help shape and design data models and schemas Build and prototype solutions using Python and modern development practices Explore and implement automation and AI-driven approaches, including AI-assisted development Work within Agile teams during the discovery and prototyping phase Skills & Experience Required: Strong hands-on experience with Python development Exposure to or interest in AI/machine learning/AI-assisted development Experience with automation and system integration Understanding of modern software architecture and scalable systems Experience working in Agile environments, particularly early-stage or discovery phases Ability to work collaboratively with architects and technical stakeholders Desirable Experience: Experience working within UK Government or public sector environments Exposure to workflow orchestration tools or frameworks Experience designing data models or working with complex data structures Interest or experience in emerging technologies and innovation-led projects Additional Information: Occasional travel to Newcastle may be required for sprint ceremonies (expenses covered) Why Apply? Opportunity to work on a high-impact transformation programme Get involved at the Alpha stage, shaping the direction of a major government service Work with modern technologies including AI and automation Be part of a collaborative, forward-thinking engineering team If you are available and interested in this opportunity, please apply for further information. Please note that due to high volumes of applications we are unable to contact every applicant. If you do not hear back from us within 7 days of sending your application, please assume that you have not been successful on this occasion. At Lucid, we celebrate difference and value diverse perspectives, underpinned by our values 'Honesty, Integrity and Pragmatism'. We are proud to provide equal opportunities in line with our Diversity and Inclusion policy and welcome applications from all suitably qualified or experienced people, regardless of personal characteristics. If you have a disability or health condition and seek support throughout the recruitment process, please do not hesitate to contact us via the details below.
May 08, 2026
Contractor
Job Title: Software Developer (Python/AI/Automation) Clearance: SC Contract: 6 months Rate: Dependent on experience/Negotiable (Inside IR35) Location: Flexible, with occasional travel to Newcastle (expenses covered) Roles Available: 4 Overview: We're supporting a central government department on a major transformation programme, aiming to modernise and centralise how financial support services are delivered across the UK. This is an Alpha phase project, meaning you'll be involved right at the early stages - shaping, experimenting, and helping define the future state of a large-scale national service. The Role: You'll be working closely with architects and engineering teams to research, design and prototype solutions for a new, centralised platform. This is a hands-on engineering role with a strong focus on Python development, automation and emerging AI capabilities, rather than purely BAU delivery. Key Responsibilities: Collaborate with architects to explore and define solution approaches Contribute to the design of workflow orchestration and service architecture Support the development of web portal solutions and user-facing components Help shape and design data models and schemas Build and prototype solutions using Python and modern development practices Explore and implement automation and AI-driven approaches, including AI-assisted development Work within Agile teams during the discovery and prototyping phase Skills & Experience Required: Strong hands-on experience with Python development Exposure to or interest in AI/machine learning/AI-assisted development Experience with automation and system integration Understanding of modern software architecture and scalable systems Experience working in Agile environments, particularly early-stage or discovery phases Ability to work collaboratively with architects and technical stakeholders Desirable Experience: Experience working within UK Government or public sector environments Exposure to workflow orchestration tools or frameworks Experience designing data models or working with complex data structures Interest or experience in emerging technologies and innovation-led projects Additional Information: Occasional travel to Newcastle may be required for sprint ceremonies (expenses covered) Why Apply? Opportunity to work on a high-impact transformation programme Get involved at the Alpha stage, shaping the direction of a major government service Work with modern technologies including AI and automation Be part of a collaborative, forward-thinking engineering team If you are available and interested in this opportunity, please apply for further information. Please note that due to high volumes of applications we are unable to contact every applicant. If you do not hear back from us within 7 days of sending your application, please assume that you have not been successful on this occasion. At Lucid, we celebrate difference and value diverse perspectives, underpinned by our values 'Honesty, Integrity and Pragmatism'. We are proud to provide equal opportunities in line with our Diversity and Inclusion policy and welcome applications from all suitably qualified or experienced people, regardless of personal characteristics. If you have a disability or health condition and seek support throughout the recruitment process, please do not hesitate to contact us via the details below.
DevOps Engineer Senior or Mid Level Role: DevOps Engineer or Senior DevOps Engineer (Flexible Seniority) Security Clearance: Current DV Clearance Required (eDV Eligibility Essential) Location: Central London (Hybrid - Maximum 3 days in office) Salary: 50,000 - 85,000 (D.O.E) I am currently partnering with an elite technical consultancy that operates at the mission-critical intersection of AI, Data Science, and National Security . My client is looking for a DV-cleared DevOps specialist to join a division dedicated to solving high-stakes challenges that drive genuine societal change. This is a rare opportunity for a cleared professional to step out of "legacy" environments and work with a modern tech stack-including AI infrastructure and cloud-native automation -within a culture that offers a maximum 3-day office presence. The Choice is Yours: Engineer or Senior? My client prioritizes the right mindset and clearance level over a specific number of years on a CV. They are open to meeting candidates at two levels: Engineer ( 50k - 65k): You'll be the engine room of the deployment cycle-building robust CI/CD pipelines, automating AWS environments, and ensuring high-availability for complex AI solutions. Senior Engineer ( 65k - 85k): You will take a "player-coach" approach-architecting bespoke infrastructure, mentoring rising talent, and challenging existing orthodoxies to shape the firm's long-term engineering roadmap. The Tech Challenge Working in highly collaborative, cleared squads alongside Software Engineers and Data Scientists, you will: Automate AI Workflows: Design and deploy infrastructure for AI and Machine Learning solutions tailored for secure, restricted client environments. Scale AWS Environments: Leverage Terraform, Kubernetes, and GitOps to manage complex, highly-restricted infrastructures. Drive Operational Excellence: Act as the pivotal link between technical delivery and mission-critical requirements, ensuring solutions are robust, compliant, and cutting-edge. What You'll Bring To be successful in this process, you will need: Clearance: You must currently hold DV Clearance and be eligible for eDV . Technical Foundations: Proven experience with AWS, Docker, and Git. Infrastructure as Code: A solid grip on Terraform and/or Kubernetes. Agile Mindset: You thrive in fast-paced environments and can navigate change effectively. Software Awareness: Knowledge of the dev lifecycle (TypeScript, Node.js, or SQL) is a major advantage. Apply now for a confidential discussion regarding the role, the client, and their 2026 project roadmap.
May 08, 2026
Full time
DevOps Engineer Senior or Mid Level Role: DevOps Engineer or Senior DevOps Engineer (Flexible Seniority) Security Clearance: Current DV Clearance Required (eDV Eligibility Essential) Location: Central London (Hybrid - Maximum 3 days in office) Salary: 50,000 - 85,000 (D.O.E) I am currently partnering with an elite technical consultancy that operates at the mission-critical intersection of AI, Data Science, and National Security . My client is looking for a DV-cleared DevOps specialist to join a division dedicated to solving high-stakes challenges that drive genuine societal change. This is a rare opportunity for a cleared professional to step out of "legacy" environments and work with a modern tech stack-including AI infrastructure and cloud-native automation -within a culture that offers a maximum 3-day office presence. The Choice is Yours: Engineer or Senior? My client prioritizes the right mindset and clearance level over a specific number of years on a CV. They are open to meeting candidates at two levels: Engineer ( 50k - 65k): You'll be the engine room of the deployment cycle-building robust CI/CD pipelines, automating AWS environments, and ensuring high-availability for complex AI solutions. Senior Engineer ( 65k - 85k): You will take a "player-coach" approach-architecting bespoke infrastructure, mentoring rising talent, and challenging existing orthodoxies to shape the firm's long-term engineering roadmap. The Tech Challenge Working in highly collaborative, cleared squads alongside Software Engineers and Data Scientists, you will: Automate AI Workflows: Design and deploy infrastructure for AI and Machine Learning solutions tailored for secure, restricted client environments. Scale AWS Environments: Leverage Terraform, Kubernetes, and GitOps to manage complex, highly-restricted infrastructures. Drive Operational Excellence: Act as the pivotal link between technical delivery and mission-critical requirements, ensuring solutions are robust, compliant, and cutting-edge. What You'll Bring To be successful in this process, you will need: Clearance: You must currently hold DV Clearance and be eligible for eDV . Technical Foundations: Proven experience with AWS, Docker, and Git. Infrastructure as Code: A solid grip on Terraform and/or Kubernetes. Agile Mindset: You thrive in fast-paced environments and can navigate change effectively. Software Awareness: Knowledge of the dev lifecycle (TypeScript, Node.js, or SQL) is a major advantage. Apply now for a confidential discussion regarding the role, the client, and their 2026 project roadmap.
Machine Learning Engineer - Contract Location: Nottingham, UK (Hybrid) Salary: £500 £600 p/d (depending on experience) About the Role We are seeking a skilled and motivated Machine Learning Engineer to join our growing team in Nottingham. You will be responsible for designing, building, and deploying scalable machine learning models that drive data-driven decision-making across the business. This role bridges the gap between data science and software engineering, turning prototypes into production-ready systems. Key Responsibilities Design, develop, and deploy machine learning models and pipelines in production environments Collaborate with data scientists, software engineers, and stakeholders to translate business requirements into ML solutions Optimize model performance, scalability, and reliability Build and maintain data pipelines and feature engineering workflows Monitor and retrain models to ensure continued performance over time Implement best practices for version control, testing, and CI/CD in ML systems Stay up to date with the latest advancements in machine learning and AI technologies Required Skills & Experience Strong programming skills in Python (e.g., TensorFlow, PyTorch, Scikit-learn) Experience deploying ML models using cloud platforms (AWS, Azure, or GCP) Solid understanding of machine learning algorithms, data structures, and software engineering principles Experience with data pipelines, APIs, and microservices architecture Familiarity with containerization tools such as Docker and orchestration tools like Kubernetes Strong problem-solving skills and attention to detail Desirable Skills Experience with big data technologies (e.g., Spark, Hadoop) Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow) Experience working with NLP, computer vision, or recommendation systems Understanding of data governance and security best practices Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Machine Learning, or a related field (or equivalent experience) What We Offer Competitive rate Flexible working arrangements (hybrid/remote options) Collaborative and innovative work environment Access to cutting-edge tools and technologies How to Apply Please submit your CV and a brief cover letter outlining your experience and interest in the role.
May 08, 2026
Contractor
Machine Learning Engineer - Contract Location: Nottingham, UK (Hybrid) Salary: £500 £600 p/d (depending on experience) About the Role We are seeking a skilled and motivated Machine Learning Engineer to join our growing team in Nottingham. You will be responsible for designing, building, and deploying scalable machine learning models that drive data-driven decision-making across the business. This role bridges the gap between data science and software engineering, turning prototypes into production-ready systems. Key Responsibilities Design, develop, and deploy machine learning models and pipelines in production environments Collaborate with data scientists, software engineers, and stakeholders to translate business requirements into ML solutions Optimize model performance, scalability, and reliability Build and maintain data pipelines and feature engineering workflows Monitor and retrain models to ensure continued performance over time Implement best practices for version control, testing, and CI/CD in ML systems Stay up to date with the latest advancements in machine learning and AI technologies Required Skills & Experience Strong programming skills in Python (e.g., TensorFlow, PyTorch, Scikit-learn) Experience deploying ML models using cloud platforms (AWS, Azure, or GCP) Solid understanding of machine learning algorithms, data structures, and software engineering principles Experience with data pipelines, APIs, and microservices architecture Familiarity with containerization tools such as Docker and orchestration tools like Kubernetes Strong problem-solving skills and attention to detail Desirable Skills Experience with big data technologies (e.g., Spark, Hadoop) Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow) Experience working with NLP, computer vision, or recommendation systems Understanding of data governance and security best practices Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Machine Learning, or a related field (or equivalent experience) What We Offer Competitive rate Flexible working arrangements (hybrid/remote options) Collaborative and innovative work environment Access to cutting-edge tools and technologies How to Apply Please submit your CV and a brief cover letter outlining your experience and interest in the role.
Senior AI Engineer - GCP / Machine Learning / AI Agents £75k - £80k + Bonus - Permanent Remote UK - Flexible remote working model - Occasional travel to the South East / South London region Must be Eligible to work in the UK - Cannot Provide Sponsorship We re currently supporting a large consumer-focused organisation undergoing significant investment across AI, Machine Learning & Cloud Engineering capability. As part of this growth, we re looking to identify experienced Senior AI Engineers to help shape and deliver scalable AI-enabled solutions across the organisation. This role would suit someone with a strong Software Engineering background who has evolved into AI / Machine Learning Engineering and is comfortable operating across both hands-on technical delivery and stakeholder engagement. Key Responsibilities: Design and develop AI-enabled Applications & Services Build scalable AI & Machine Learning solutions within a GCP environment Support the technical direction of AI Engineering initiatives Mentor and support other AI Engineers within the wider team Collaborate closely with Digital Products, AI & business stakeholders Support the development of AI Agents and intelligent automation capabilities Drive Engineering best practice across cloud-native AI delivery Contribute toward architecture, experimentation and proof-of-concept initiatives Required Experience: Strong Software Engineering background (Python preferred) Commercial AI / Machine Learning Engineering experience Hands-on Google Cloud Platform (GCP) experience Experience deploying ML / AI solutions into production environments Understanding of modern AI frameworks & LLM ecosystems Exposure to AI Agents, Agentic AI workflows and/or Google ADK highly desirable Strong stakeholder engagement and communication capability Previous mentoring or technical leadership experience advantageous Desirable Technologies GCP / Vertex AI Gemini Python AI Agents / ADK Machine Learning Frameworks APIs & Microservices Docker / Kubernetes CI/CD pipelines LLM Orchestration Frameworks Additional Information Bonus potential up to c.15% Opportunity to join a growing AI capability within a large-scale Enterprise environment Excellent long-term progression potential as the AI function expands . T6/MN/(phone number removed).
May 08, 2026
Full time
Senior AI Engineer - GCP / Machine Learning / AI Agents £75k - £80k + Bonus - Permanent Remote UK - Flexible remote working model - Occasional travel to the South East / South London region Must be Eligible to work in the UK - Cannot Provide Sponsorship We re currently supporting a large consumer-focused organisation undergoing significant investment across AI, Machine Learning & Cloud Engineering capability. As part of this growth, we re looking to identify experienced Senior AI Engineers to help shape and deliver scalable AI-enabled solutions across the organisation. This role would suit someone with a strong Software Engineering background who has evolved into AI / Machine Learning Engineering and is comfortable operating across both hands-on technical delivery and stakeholder engagement. Key Responsibilities: Design and develop AI-enabled Applications & Services Build scalable AI & Machine Learning solutions within a GCP environment Support the technical direction of AI Engineering initiatives Mentor and support other AI Engineers within the wider team Collaborate closely with Digital Products, AI & business stakeholders Support the development of AI Agents and intelligent automation capabilities Drive Engineering best practice across cloud-native AI delivery Contribute toward architecture, experimentation and proof-of-concept initiatives Required Experience: Strong Software Engineering background (Python preferred) Commercial AI / Machine Learning Engineering experience Hands-on Google Cloud Platform (GCP) experience Experience deploying ML / AI solutions into production environments Understanding of modern AI frameworks & LLM ecosystems Exposure to AI Agents, Agentic AI workflows and/or Google ADK highly desirable Strong stakeholder engagement and communication capability Previous mentoring or technical leadership experience advantageous Desirable Technologies GCP / Vertex AI Gemini Python AI Agents / ADK Machine Learning Frameworks APIs & Microservices Docker / Kubernetes CI/CD pipelines LLM Orchestration Frameworks Additional Information Bonus potential up to c.15% Opportunity to join a growing AI capability within a large-scale Enterprise environment Excellent long-term progression potential as the AI function expands . T6/MN/(phone number removed).
We are looking for a Senior Back-End Developer to join our growing team at Aisthesis Medical. This is a unique opportunity to play a key role in shaping the backend systems of a fast-moving MedTech startup working at the intersection of AI and clinical decision support. You will lead the development of scalable, secure, and high-performance backend infrastructure that supports real-time healthcare data processing and predictive analytics. Responsibilities Architect and implement robust, scalable, and secure backend services and APIs; Ensure system performance, reliability, and fault-tolerance; Integrate external APIs and ensure interoperability with Electronic Health Record (EHR) systems; Contribute to deployment and monitoring of production systems using modern DevOps practices; Design, implement, and deploy software components in a microservice architecture that perform biomedical information processing; Work closely with product, UX, and clinical teams, analyze customer requirements, and rapidly implement prototypes introducing new functionality; Maintain a high standard of code quality through testing, documentation, and peer reviews; Collaborate in an agile environment, striking the right balance between rapid iteration with long-term maintainability and well-tested code. Minimum Qualifications We are looking for professionals with the following skills and experience: BSc/MSc in Computer Science, Electrical and Computer Engineering or similar; Strong proficiency in Python with production-grade back-end frameworks such as Django or FastAPI; Solid understanding of RESTful API design and microservices architecture; Experience on production and DevOps fundamentals Experience with Docker, CI/CD pipelines; Experience on Infrastructure as Code (IaC) using CloudFormation (or Terraform); Experience running production workloads on AWS (or Azure, GCP); Familiarity with PostgreSQL or other relational databases; Ability to understand business and product requirements and translate them into technical requirements; Strong ownership mindset and ability to work in a fast-paced startup environment; Comfortable working in a hybrid setup with in-person collaboration when needed; Fluent in English with excellent communication, collaboration, and problem-solving skills. Nice-to-Haves If you have the following, it's a strong plus: Experience working with healthcare data (FHIR, HL7) or clinical systems; Experience working under European Medical Device Regulations (ISO13485, IEC62304, ISO14971, etc.) Familiarity with event-driven architectures and message queues (e.g., Kafka, RabbitMQ); Understanding of data privacy, security, and compliance standards (GDPR, HIPAA); Exposure to machine learning pipelines or MLOps; Familiarity with UI/UX best practices; Passion for writing clean, maintainable, and scalable code; Mentality of commit early and often, metrics before models, and shipping high quality production code; A love of learning and enjoyment of trying new things; Startup experience or interest in working in a high-growth environment. Team Culture We treat each other with respect, humility, and openness; We value curiosity, experimentation, and fast learning; We embrace flexibility and focus on solving real-world problems that matter; We believe in diversity-of background, perspective, and skill set; We value open dialogue and brainstorming across multidisciplinary teams; We prioritize deep work, async collaboration, and only meet when it matters; Work from anywhere in the world (within 3h of GMT), as long as the WiFi's solid. What We Offer Competitive salary tailored to your experience and skills; Remote-first work scheme with in-person collaboration when needed; A mission-driven, close-knit team working on meaningful problems; Opportunities for personal growth through conferences, events, and mentorship.
May 08, 2026
Full time
We are looking for a Senior Back-End Developer to join our growing team at Aisthesis Medical. This is a unique opportunity to play a key role in shaping the backend systems of a fast-moving MedTech startup working at the intersection of AI and clinical decision support. You will lead the development of scalable, secure, and high-performance backend infrastructure that supports real-time healthcare data processing and predictive analytics. Responsibilities Architect and implement robust, scalable, and secure backend services and APIs; Ensure system performance, reliability, and fault-tolerance; Integrate external APIs and ensure interoperability with Electronic Health Record (EHR) systems; Contribute to deployment and monitoring of production systems using modern DevOps practices; Design, implement, and deploy software components in a microservice architecture that perform biomedical information processing; Work closely with product, UX, and clinical teams, analyze customer requirements, and rapidly implement prototypes introducing new functionality; Maintain a high standard of code quality through testing, documentation, and peer reviews; Collaborate in an agile environment, striking the right balance between rapid iteration with long-term maintainability and well-tested code. Minimum Qualifications We are looking for professionals with the following skills and experience: BSc/MSc in Computer Science, Electrical and Computer Engineering or similar; Strong proficiency in Python with production-grade back-end frameworks such as Django or FastAPI; Solid understanding of RESTful API design and microservices architecture; Experience on production and DevOps fundamentals Experience with Docker, CI/CD pipelines; Experience on Infrastructure as Code (IaC) using CloudFormation (or Terraform); Experience running production workloads on AWS (or Azure, GCP); Familiarity with PostgreSQL or other relational databases; Ability to understand business and product requirements and translate them into technical requirements; Strong ownership mindset and ability to work in a fast-paced startup environment; Comfortable working in a hybrid setup with in-person collaboration when needed; Fluent in English with excellent communication, collaboration, and problem-solving skills. Nice-to-Haves If you have the following, it's a strong plus: Experience working with healthcare data (FHIR, HL7) or clinical systems; Experience working under European Medical Device Regulations (ISO13485, IEC62304, ISO14971, etc.) Familiarity with event-driven architectures and message queues (e.g., Kafka, RabbitMQ); Understanding of data privacy, security, and compliance standards (GDPR, HIPAA); Exposure to machine learning pipelines or MLOps; Familiarity with UI/UX best practices; Passion for writing clean, maintainable, and scalable code; Mentality of commit early and often, metrics before models, and shipping high quality production code; A love of learning and enjoyment of trying new things; Startup experience or interest in working in a high-growth environment. Team Culture We treat each other with respect, humility, and openness; We value curiosity, experimentation, and fast learning; We embrace flexibility and focus on solving real-world problems that matter; We believe in diversity-of background, perspective, and skill set; We value open dialogue and brainstorming across multidisciplinary teams; We prioritize deep work, async collaboration, and only meet when it matters; Work from anywhere in the world (within 3h of GMT), as long as the WiFi's solid. What We Offer Competitive salary tailored to your experience and skills; Remote-first work scheme with in-person collaboration when needed; A mission-driven, close-knit team working on meaningful problems; Opportunities for personal growth through conferences, events, and mentorship.
Head of AI & Automation Hybrid: 1-2 days per week in the office (North West) Permanent Paying up to 100k + bonus + bens Experis are partnering with a large, well-established organisation as they continue to accelerate their digital and operational transformation agenda. We are supporting them in the search for an experienced AI and Automation Lead to own and deliver a multi-year strategy focused on leveraging artificial intelligence and automation across their operations. This is a high-impact leadership role, responsible for shaping AI adoption across support centre and knowledge worker environments, with a focus on improving productivity, reducing cost, and enhancing customer experience. What You'll Be Doing Defining and owning the organisation's AI and automation strategy, aligned to wider digital transformation goals Identifying, prioritising, and delivering high-value AI use cases across operations and support functions Leading the end-to-end delivery of AI solutions from proof of concept through to production Building, scaling, and developing a small in-house AI engineering capability Driving adoption of AI solutions (e.g. chatbots, intelligent document processing, workflow automation, predictive analytics) into day-to-day business processes Acting as a trusted advisor to senior stakeholders, translating AI opportunities into tangible business outcomes Managing third-party vendors and delivery partners, ensuring quality, value, and alignment to outcomes Establishing AI governance frameworks, covering data ethics, model performance, and responsible AI usage Defining and tracking ROI and success metrics across AI initiatives Leading training and change initiatives to embed AI across the workforce Experience Required Proven experience leading AI, machine learning, or intelligent automation initiatives in a mid-to-large organisation Strong hands-on knowledge of generative AI (LLMs, RAG architectures) and/or agentic AI frameworks Experience building or scaling AI / data science teams Track record of delivering AI solutions into production environments, not just proof of concept Experience working with cloud platforms (Azure, AWS or GCP) Exposure to vendor-led delivery models and partner ecosystems Strong understanding of data governance, AI ethics, and responsible AI principles Experience in customer operations / contact centre environments would be highly advantageous Excellent stakeholder management skills, with the ability to influence at senior level and communicate complex ideas clearly If you'd like to learn more, please contact Jacob Ferdinand at
May 08, 2026
Full time
Head of AI & Automation Hybrid: 1-2 days per week in the office (North West) Permanent Paying up to 100k + bonus + bens Experis are partnering with a large, well-established organisation as they continue to accelerate their digital and operational transformation agenda. We are supporting them in the search for an experienced AI and Automation Lead to own and deliver a multi-year strategy focused on leveraging artificial intelligence and automation across their operations. This is a high-impact leadership role, responsible for shaping AI adoption across support centre and knowledge worker environments, with a focus on improving productivity, reducing cost, and enhancing customer experience. What You'll Be Doing Defining and owning the organisation's AI and automation strategy, aligned to wider digital transformation goals Identifying, prioritising, and delivering high-value AI use cases across operations and support functions Leading the end-to-end delivery of AI solutions from proof of concept through to production Building, scaling, and developing a small in-house AI engineering capability Driving adoption of AI solutions (e.g. chatbots, intelligent document processing, workflow automation, predictive analytics) into day-to-day business processes Acting as a trusted advisor to senior stakeholders, translating AI opportunities into tangible business outcomes Managing third-party vendors and delivery partners, ensuring quality, value, and alignment to outcomes Establishing AI governance frameworks, covering data ethics, model performance, and responsible AI usage Defining and tracking ROI and success metrics across AI initiatives Leading training and change initiatives to embed AI across the workforce Experience Required Proven experience leading AI, machine learning, or intelligent automation initiatives in a mid-to-large organisation Strong hands-on knowledge of generative AI (LLMs, RAG architectures) and/or agentic AI frameworks Experience building or scaling AI / data science teams Track record of delivering AI solutions into production environments, not just proof of concept Experience working with cloud platforms (Azure, AWS or GCP) Exposure to vendor-led delivery models and partner ecosystems Strong understanding of data governance, AI ethics, and responsible AI principles Experience in customer operations / contact centre environments would be highly advantageous Excellent stakeholder management skills, with the ability to influence at senior level and communicate complex ideas clearly If you'd like to learn more, please contact Jacob Ferdinand at
Python Engineer - Machine Learning - 12 month contract - Glasgow (Hybrid 3 days onsite) Are you a Python specialist who enjoys solving complex engineering challenges at scale? I am looking for an experienced Python Machine Learning Engineers based in Scotland to help modernise and automate a large-scale technology estate. You'll be part of an international team building intelligent services that simplify infrastructure, improve resilience and enable self-service through well-designed APIs. What you'll be working on Designing and building robust Python services that automate complex workflows Developing API-driven solutions that abstract underlying platforms and enable self-service Applying machine learning techniques to enhance automation and decision-making Integrating modern tooling with Legacy technologies where required Partnering with subject matter experts across storage, backup, databases and UNIX environments to shape future-state solutions Troubleshooting and resolving technically challenging issues that go beyond standard documentation What you'll bring Strong Python development experience in production environments Hands-on expertise with message-driven architectures (eg Kafka, RabbitMQ, Celery or similar) Proven experience building and maintaining RESTful APIs Solid experience applying machine learning in real-world systems Confidence debugging complex, unfamiliar problems with a pragmatic mindset Strong communication skills and the ability to explain technical solutions to varied audiences The ability to juggle multiple priorities in a fast-paced environment Nice to have (but not essential) Exposure to enterprise backup or data protection platforms Knowledge of data deduplication concepts Systems administration experience across UNIX and/or Windows Familiarity with storage technologies (SAN, NAS, object storage) Experience with container platforms such as Kubernetes or OpenShift Working knowledge of Perl This is a chance to join a global team where your work will underpin their critical platforms used across a large, regulated environment. Interested? Apply now for immediate consideration.
May 08, 2026
Contractor
Python Engineer - Machine Learning - 12 month contract - Glasgow (Hybrid 3 days onsite) Are you a Python specialist who enjoys solving complex engineering challenges at scale? I am looking for an experienced Python Machine Learning Engineers based in Scotland to help modernise and automate a large-scale technology estate. You'll be part of an international team building intelligent services that simplify infrastructure, improve resilience and enable self-service through well-designed APIs. What you'll be working on Designing and building robust Python services that automate complex workflows Developing API-driven solutions that abstract underlying platforms and enable self-service Applying machine learning techniques to enhance automation and decision-making Integrating modern tooling with Legacy technologies where required Partnering with subject matter experts across storage, backup, databases and UNIX environments to shape future-state solutions Troubleshooting and resolving technically challenging issues that go beyond standard documentation What you'll bring Strong Python development experience in production environments Hands-on expertise with message-driven architectures (eg Kafka, RabbitMQ, Celery or similar) Proven experience building and maintaining RESTful APIs Solid experience applying machine learning in real-world systems Confidence debugging complex, unfamiliar problems with a pragmatic mindset Strong communication skills and the ability to explain technical solutions to varied audiences The ability to juggle multiple priorities in a fast-paced environment Nice to have (but not essential) Exposure to enterprise backup or data protection platforms Knowledge of data deduplication concepts Systems administration experience across UNIX and/or Windows Familiarity with storage technologies (SAN, NAS, object storage) Experience with container platforms such as Kubernetes or OpenShift Working knowledge of Perl This is a chance to join a global team where your work will underpin their critical platforms used across a large, regulated environment. Interested? Apply now for immediate consideration.
CBSbutler Holdings Limited trading as CBSbutler
Nursling, Hampshire
Software Engineer - Defence Technology 60,000 - 85,000 DOE Southampton - Hybrid Security Clearable Are you a software engineer who wants your work to genuinely matter? We're looking for a passionate software engineer to join a high-performing team tackling some of the most technically demanding challenges in the defence sector. This isn't about maintaining legacy systems or shipping incremental updates - it's about building cutting-edge capability that operates at the edge, in the field, and under pressure. The Role You'll be part of a team delivering software solutions that leverage the latest in machine learning, edge compute, and DevOps automation. Think rapid capability deployment, deployed hardware environments, sensors, and robotics - the kind of engineering problems that push you to grow. You'll own code releases and deployments, support operational systems, and collaborate across disciplines to drive agile best practice into real-world solutions. What You'll Be Doing You'll work closely with product owners and fellow engineers across the full delivery lifecycle - from architecture discussions to production deployments. Day to day, that means contributing to agile ceremonies (Scrum, Kanban or SAFe), participating in code reviews, working with quality engineers to uphold high standards, and troubleshooting operational systems when it counts. This is a collaborative, technically ambitious environment where your voice matters and your ideas get heard. What We're Looking For You'll have a degree in a STEM subject, or equivalent practical experience. Beyond that, we're interested in engineers who are curious, proactive, and genuinely energised by solving hard problems. You'll be familiar with some combination of the following - we don't expect expertise across everything, but we do want depth in some areas and a hunger to learn the rest. Languages: Python, Java, Rust, or JavaScript Cloud: AWS (primary), with Azure or GCP experience a bonus Containerisation & Virtualisation: Docker or Podman, Kubernetes, and ideally some exposure to GPU containerisation (NVIDIA Container Toolkit, Run:AI) Architecture: Microservices, serverless, edge compute, RESTful APIs, Protobuf/gRPC, and stream-based pub/sub systems including Kafka and MQTT DevSecOps: Git, CI/CD pipelines (e.g. GitLab), Infrastructure as Code (Terraform, Puppet, Ansible), and Linux shell scripting As important as the technical profile is the person behind it. You'll communicate clearly with colleagues at all levels, thrive in a team, and take ownership of your work with a solutions-first mindset. What's on Offer Alongside a competitive salary, you'll have access to a flexible benefits package spanning health and wellbeing, financial protection, and lifestyle perks. You'll join a genuinely inclusive organisation that invests in its people and its technology in equal measure - having doubled in size over the last four years, the growth here is real and the opportunities that come with it are too. There's also a thriving internal community of technical groups where engineers come together around shared interests, tools, and ideas. It's the kind of place where intellectual curiosity is encouraged, not just tolerated. This role requires the ability to obtain UK Security Clearance. If you're ready to work on problems that matter, with people who take pride in what they build, we'd love to hear from you.
May 08, 2026
Full time
Software Engineer - Defence Technology 60,000 - 85,000 DOE Southampton - Hybrid Security Clearable Are you a software engineer who wants your work to genuinely matter? We're looking for a passionate software engineer to join a high-performing team tackling some of the most technically demanding challenges in the defence sector. This isn't about maintaining legacy systems or shipping incremental updates - it's about building cutting-edge capability that operates at the edge, in the field, and under pressure. The Role You'll be part of a team delivering software solutions that leverage the latest in machine learning, edge compute, and DevOps automation. Think rapid capability deployment, deployed hardware environments, sensors, and robotics - the kind of engineering problems that push you to grow. You'll own code releases and deployments, support operational systems, and collaborate across disciplines to drive agile best practice into real-world solutions. What You'll Be Doing You'll work closely with product owners and fellow engineers across the full delivery lifecycle - from architecture discussions to production deployments. Day to day, that means contributing to agile ceremonies (Scrum, Kanban or SAFe), participating in code reviews, working with quality engineers to uphold high standards, and troubleshooting operational systems when it counts. This is a collaborative, technically ambitious environment where your voice matters and your ideas get heard. What We're Looking For You'll have a degree in a STEM subject, or equivalent practical experience. Beyond that, we're interested in engineers who are curious, proactive, and genuinely energised by solving hard problems. You'll be familiar with some combination of the following - we don't expect expertise across everything, but we do want depth in some areas and a hunger to learn the rest. Languages: Python, Java, Rust, or JavaScript Cloud: AWS (primary), with Azure or GCP experience a bonus Containerisation & Virtualisation: Docker or Podman, Kubernetes, and ideally some exposure to GPU containerisation (NVIDIA Container Toolkit, Run:AI) Architecture: Microservices, serverless, edge compute, RESTful APIs, Protobuf/gRPC, and stream-based pub/sub systems including Kafka and MQTT DevSecOps: Git, CI/CD pipelines (e.g. GitLab), Infrastructure as Code (Terraform, Puppet, Ansible), and Linux shell scripting As important as the technical profile is the person behind it. You'll communicate clearly with colleagues at all levels, thrive in a team, and take ownership of your work with a solutions-first mindset. What's on Offer Alongside a competitive salary, you'll have access to a flexible benefits package spanning health and wellbeing, financial protection, and lifestyle perks. You'll join a genuinely inclusive organisation that invests in its people and its technology in equal measure - having doubled in size over the last four years, the growth here is real and the opportunities that come with it are too. There's also a thriving internal community of technical groups where engineers come together around shared interests, tools, and ideas. It's the kind of place where intellectual curiosity is encouraged, not just tolerated. This role requires the ability to obtain UK Security Clearance. If you're ready to work on problems that matter, with people who take pride in what they build, we'd love to hear from you.
Senior Data Scientist AI & Intelligent Products Location: Glasgow Salary : Competitive The Role Data is our superpower not just for insight, but for building intelligent, scalable products. We re looking for a Senior Data Scientist to drive commercial impact today through advanced analytics and experimentation, while leading our evolution into AI-powered products using modern Generative AI and search technologies. This is a hands-on, high-impact role at the intersection of data science, machine learning, and Generative AI engineering . You ll deliver immediate business value while helping us transition from a data-driven company into an AI-native product organisation . You ll work closely with product, commercial, and engineering teams to turn complex, text-heavy data into both actionable insights and production-grade AI solutions . What You ll Be Doing Today: Driving Commercial Impact with Data Lead end-to-end data science projects that deliver measurable business outcomes Work hands-on with data analysis, modelling, and experimentation Translate business challenges into analytical solutions and clear insights Partner with stakeholders across commercial, product, and engineering teams Embed data into decision-making across the organisation Mentor and support a small team of Data Scientists Evolving the Role: Building AI-Powered Capabilities Design and develop AI-powered features such as assistants, copilots, and intelligent workflows Build and deploy Retrieval-Augmented Generation (RAG) pipelines Apply NLP techniques to structure and unlock value from unstructured text Develop semantic and hybrid search solutions (vector + keyword) Work with LLM platforms (e.g. OpenAI, Claude, Bedrock) to create production-ready applications Future State: Shaping Intelligent Products & Strategy Help define how AI becomes embedded in our core product offering Influence product strategy through data and AI capabilities Contribute to scalable architecture for AI systems (search, retrieval, LLM orchestration) Establish best practices for experimentation, evaluation, and model performance Elevate the organisation from analytics-led to decision intelligence and AI-driven automation What We re Looking For Core Data Science Expertise Strong experience as a Data Scientist in a SaaS or data-rich environment Proven track record of delivering commercially impactful solutions Expertise in experimentation, statistical analysis, and modelling Strong SQL and data manipulation skills Experience with Elastic / Elasticsearch and observability tooling Engineering & AI Capability Strong Python skills and experience building data/ML pipelines Experience developing APIs or production-grade systems Hands-on exposure to LLMs and prompt engineering Understanding of RAG architectures and NLP pipelines Familiarity with search technologies (Elasticsearch, vector databases, or similar) Collaboration & Influence Excellent stakeholder management and communication skills Ability to translate complex technical work into business value Comfortable working cross-functionally across product, engineering, and commercial teams Leadership & Growth Experience mentoring or supporting junior team members Interest in shaping standards, tools, and ways of working Motivated by building both immediate impact and long-term capability Docker, Kubernetes, or scalable deployment environments Background in building AI-powered or search-driven products Why Join Us? Immediate impact: Deliver high-value data science work from day one Future-facing: Help build real AI products not just models in notebooks Ownership: Shape both what we build and how we build it Growth: Evolve into a key leader in AI and data strategy Environment: Fast-moving, collaborative SME where data and AI are core to success To Apply If you feel you are a suitable candidate and would like to work for BiP Solutions, please do not hesitate to apply.
May 08, 2026
Full time
Senior Data Scientist AI & Intelligent Products Location: Glasgow Salary : Competitive The Role Data is our superpower not just for insight, but for building intelligent, scalable products. We re looking for a Senior Data Scientist to drive commercial impact today through advanced analytics and experimentation, while leading our evolution into AI-powered products using modern Generative AI and search technologies. This is a hands-on, high-impact role at the intersection of data science, machine learning, and Generative AI engineering . You ll deliver immediate business value while helping us transition from a data-driven company into an AI-native product organisation . You ll work closely with product, commercial, and engineering teams to turn complex, text-heavy data into both actionable insights and production-grade AI solutions . What You ll Be Doing Today: Driving Commercial Impact with Data Lead end-to-end data science projects that deliver measurable business outcomes Work hands-on with data analysis, modelling, and experimentation Translate business challenges into analytical solutions and clear insights Partner with stakeholders across commercial, product, and engineering teams Embed data into decision-making across the organisation Mentor and support a small team of Data Scientists Evolving the Role: Building AI-Powered Capabilities Design and develop AI-powered features such as assistants, copilots, and intelligent workflows Build and deploy Retrieval-Augmented Generation (RAG) pipelines Apply NLP techniques to structure and unlock value from unstructured text Develop semantic and hybrid search solutions (vector + keyword) Work with LLM platforms (e.g. OpenAI, Claude, Bedrock) to create production-ready applications Future State: Shaping Intelligent Products & Strategy Help define how AI becomes embedded in our core product offering Influence product strategy through data and AI capabilities Contribute to scalable architecture for AI systems (search, retrieval, LLM orchestration) Establish best practices for experimentation, evaluation, and model performance Elevate the organisation from analytics-led to decision intelligence and AI-driven automation What We re Looking For Core Data Science Expertise Strong experience as a Data Scientist in a SaaS or data-rich environment Proven track record of delivering commercially impactful solutions Expertise in experimentation, statistical analysis, and modelling Strong SQL and data manipulation skills Experience with Elastic / Elasticsearch and observability tooling Engineering & AI Capability Strong Python skills and experience building data/ML pipelines Experience developing APIs or production-grade systems Hands-on exposure to LLMs and prompt engineering Understanding of RAG architectures and NLP pipelines Familiarity with search technologies (Elasticsearch, vector databases, or similar) Collaboration & Influence Excellent stakeholder management and communication skills Ability to translate complex technical work into business value Comfortable working cross-functionally across product, engineering, and commercial teams Leadership & Growth Experience mentoring or supporting junior team members Interest in shaping standards, tools, and ways of working Motivated by building both immediate impact and long-term capability Docker, Kubernetes, or scalable deployment environments Background in building AI-powered or search-driven products Why Join Us? Immediate impact: Deliver high-value data science work from day one Future-facing: Help build real AI products not just models in notebooks Ownership: Shape both what we build and how we build it Growth: Evolve into a key leader in AI and data strategy Environment: Fast-moving, collaborative SME where data and AI are core to success To Apply If you feel you are a suitable candidate and would like to work for BiP Solutions, please do not hesitate to apply.
Long O Donnell Associates Limited
Durham, County Durham
The Power BI & Data Analyst plays a key role. The role combines advanced Power BI development, data management, and performance reporting to support the organisation s Capital Programme and regulatory reporting cycles. The post holder will develop, maintain, and futureproof reporting solutions, ensuring accuracy, consistency, and insight across project, programme, and portfolio levels. They will work collaboratively with PMO colleagues and cross functional teams to enhance data quality, streamline reporting processes, and deliver clear, actionable insights. We are seeking an experienced professional with strong analytical capability, excellent communication skills, and domain experience in capital delivery. Key Accountabilities Power BI Development & Reporting Architecture Develop, enhance, and futureproof Power BI dashboards and reporting architecture, ensuring alignment with regulatory cycles (e.g., AMP8). Ability to translate users needs (including gathering them) and converting into resilient, effective dashboards Design within common standards, workspaces, ensuring look/feel, UX is consistent Refine existing visuals, optimise data models, and improve resilience, performance, and usability of reporting solutions. Data Management & Analysis Collect, clean, transform, and model data from multiple sources (e.g., OUA, APEX, other Databases/Data Warehouses, SharePoint, Excel, enterprise systems). Conduct exploratory data analysis to identify trends, anomalies, risks, and opportunities. Provide clear, evidence based insights to support strategic and operational decision making. Performance Reporting & Assurance Produce accurate, timely monthly reporting packs, dashboards, and presentations. Ensure quality assurance of all reporting outputs, maintaining consistency across PMO reporting frameworks. Support compliance with management reporting frameworks across project, programme, and portfolio levels. Continuous Improvement & Capability Building Identify opportunities to improve data quality, reporting processes, and analytical methods. Share knowledge, mentor colleagues, and promote best practice in BI development and data analysis. Contribute to the development of integrated project controls tools and future reporting roadmaps. Experience Required: Essential 3 5+ years experience in: Power BI development (data modelling, DAX, Power Query, report design). Performance reporting within a PMO, project, programme, or portfolio environment. Data transformation, manipulation, and visualisation for varied audiences. Using BI and Microsoft tools (Power BI, Excel, SharePoint, PowerPoint). Proven ability to work with large, complex datasets and deliver actionable insights. Experience producing management information to support decision making. Demonstrated ability to work in fast paced environments, managing competing priorities. Useful / Desirable AI, Machine Learning, RPA experience PowerApp development / Sharepoint development. Experience in the UK water industry or regulated utilities. Experience with Oracle databases / data warehouses. Degree in business management, data/analytics, computer science, statistics, or project/programme disciplines. Experience across full project/programme delivery cycles. Experience developing new BI dashboards from scratch. Understanding of project controls concepts (cost, schedule, risk, benefits) desirable. Familiarity with SQL or Python for data analysis desirable (open source best practice addition).
May 08, 2026
Full time
The Power BI & Data Analyst plays a key role. The role combines advanced Power BI development, data management, and performance reporting to support the organisation s Capital Programme and regulatory reporting cycles. The post holder will develop, maintain, and futureproof reporting solutions, ensuring accuracy, consistency, and insight across project, programme, and portfolio levels. They will work collaboratively with PMO colleagues and cross functional teams to enhance data quality, streamline reporting processes, and deliver clear, actionable insights. We are seeking an experienced professional with strong analytical capability, excellent communication skills, and domain experience in capital delivery. Key Accountabilities Power BI Development & Reporting Architecture Develop, enhance, and futureproof Power BI dashboards and reporting architecture, ensuring alignment with regulatory cycles (e.g., AMP8). Ability to translate users needs (including gathering them) and converting into resilient, effective dashboards Design within common standards, workspaces, ensuring look/feel, UX is consistent Refine existing visuals, optimise data models, and improve resilience, performance, and usability of reporting solutions. Data Management & Analysis Collect, clean, transform, and model data from multiple sources (e.g., OUA, APEX, other Databases/Data Warehouses, SharePoint, Excel, enterprise systems). Conduct exploratory data analysis to identify trends, anomalies, risks, and opportunities. Provide clear, evidence based insights to support strategic and operational decision making. Performance Reporting & Assurance Produce accurate, timely monthly reporting packs, dashboards, and presentations. Ensure quality assurance of all reporting outputs, maintaining consistency across PMO reporting frameworks. Support compliance with management reporting frameworks across project, programme, and portfolio levels. Continuous Improvement & Capability Building Identify opportunities to improve data quality, reporting processes, and analytical methods. Share knowledge, mentor colleagues, and promote best practice in BI development and data analysis. Contribute to the development of integrated project controls tools and future reporting roadmaps. Experience Required: Essential 3 5+ years experience in: Power BI development (data modelling, DAX, Power Query, report design). Performance reporting within a PMO, project, programme, or portfolio environment. Data transformation, manipulation, and visualisation for varied audiences. Using BI and Microsoft tools (Power BI, Excel, SharePoint, PowerPoint). Proven ability to work with large, complex datasets and deliver actionable insights. Experience producing management information to support decision making. Demonstrated ability to work in fast paced environments, managing competing priorities. Useful / Desirable AI, Machine Learning, RPA experience PowerApp development / Sharepoint development. Experience in the UK water industry or regulated utilities. Experience with Oracle databases / data warehouses. Degree in business management, data/analytics, computer science, statistics, or project/programme disciplines. Experience across full project/programme delivery cycles. Experience developing new BI dashboards from scratch. Understanding of project controls concepts (cost, schedule, risk, benefits) desirable. Familiarity with SQL or Python for data analysis desirable (open source best practice addition).
Full Stack Software Engineer UK Based Fully Remote £100k £120k + generous bonus scheme The business Join an award-winning, fast-growing technology company building AI-powered infrastructure that turns complex data into real-time intelligence. Their platform blends software, data, and machine learning to transform how organisations operate moving from static reporting to live, adaptive insight. A bit about you This role suits an engineer who enjoys building polished, high-performance web applications and taking real ownership of the systems they work on. You ll be comfortable working in fast-moving teams, care deeply about code quality, and have hands-on experience applying AI in production environment (particularly in enterprise or data-rich settings) The role & relevant experience You ll be responsible for designing, building, and evolving full-stack product features across modern web and data systems. Key areas include: Full-stack development using TypeScript Frontend work with Svelte (or similar modern component frameworks) Building and maintaining cloud-native systems on AWS Working with data platforms such as Postgres and Snowflake, plus caching layers like Redis Designing SQL-based data models and working with distributed data workflows Integrating LLM-driven capabilities (e.g. RAG / CAG architectures) into production grade systems. If big systems, AI initiatives and modern tech get you fired up, this could be your next move.
May 07, 2026
Full time
Full Stack Software Engineer UK Based Fully Remote £100k £120k + generous bonus scheme The business Join an award-winning, fast-growing technology company building AI-powered infrastructure that turns complex data into real-time intelligence. Their platform blends software, data, and machine learning to transform how organisations operate moving from static reporting to live, adaptive insight. A bit about you This role suits an engineer who enjoys building polished, high-performance web applications and taking real ownership of the systems they work on. You ll be comfortable working in fast-moving teams, care deeply about code quality, and have hands-on experience applying AI in production environment (particularly in enterprise or data-rich settings) The role & relevant experience You ll be responsible for designing, building, and evolving full-stack product features across modern web and data systems. Key areas include: Full-stack development using TypeScript Frontend work with Svelte (or similar modern component frameworks) Building and maintaining cloud-native systems on AWS Working with data platforms such as Postgres and Snowflake, plus caching layers like Redis Designing SQL-based data models and working with distributed data workflows Integrating LLM-driven capabilities (e.g. RAG / CAG architectures) into production grade systems. If big systems, AI initiatives and modern tech get you fired up, this could be your next move.
Production Operative Location: Vetchberry - Witton, Birmingham Salary: £26,000 - £27,000 per annum Vacancy Type: Permanent - Full Time They are recruiting for a Cut to Length Operator also known as a Decoiling Operator, who will be responsible for operating machinery used to process coil products (stainless steel and aluminium) according to customer specifications. The role involves using overhead crane and forklift truck; with typical activities including, loading and unloading coils, setting the line, in-production inspection - ensuring product quality and maintaining a safe working environment. 38.5 hours per week Monday-Thursday 7:30am-4:15pm Fridays 7:30am-1pm The role is based at their Vetchberry Steels site - B6 7BN Key Responsibilities Operating various Cut to length lines Setting up machinery accurately to works order specifications and customer tolerances Maintain production records and complete required documentation Overhead crane when authorised and in accordance with Company training records Loading and unloading coils on a machine line safely Driving forklift trucks when authorised and in accordance with Company training records Ensure cleanliness of work areas Follow safety protocols and maintain a clean work area Reporting quality, damage, shortages and overages Mandatory PPE must be worn at all times Maintaining all metal traceability systems Recycle metal scrap into correct bins. Recycle any packaging waste into correct bins. Report any damage, shortage and overages to the Operations Manager Other warehouse duties as and when required Skills, Knowledge and Expertise Essential knowledge /skills /experience /behaviours: Over Head Crane licence Forklift Truck licence (B1 or above) Good team player Digitally competent Attention to detail skills Desirable knowledge /skills /experience /behaviours: Previously used micrometre and vernier callipers Experience in the steel and metal industry 1st operator experience Job Benefits 25 days holiday + 8 bank holidays Company bonus scheme Advantageous pension scheme Learning & Development opportunities Employee high street vouchers & discounts Employee Assistance Programme Occupational health & health surveillance Length of Service Awards Christmas savings scheme Eye care vouchers Wellbeing events Recognition Portal Rewards Portal Company events Car Salary Exchange Scheme Company share schemes Christmas Closedown About the company The company operates a network of 8 sites with just under 500 employees in England and Northern Ireland which are in; Birmingham, Preston, Darton, Milton Keynes, and two sites in Belfast. They offer a vast range of metal material products such as stainless steel, aluminium and mild steel. They also provide a range of services, whether it be fully welded and fabricated finished parts or bespoke flat products cut to exact sizes. They have years of experience in the aerospace, construction and architecture, automotive and the general engineering industries. To Apply If you feel you are a suitable candidate and would like to work for the company, please click apply. Please note that they reserve the right to remove this advert prior to the advertised expiry date, dependent on the level of response received. You are therefore advised to apply at your earliest convenience. Due to the volume of applications they receive, they are unable to supply individual feedback at the CV review stage.
May 07, 2026
Full time
Production Operative Location: Vetchberry - Witton, Birmingham Salary: £26,000 - £27,000 per annum Vacancy Type: Permanent - Full Time They are recruiting for a Cut to Length Operator also known as a Decoiling Operator, who will be responsible for operating machinery used to process coil products (stainless steel and aluminium) according to customer specifications. The role involves using overhead crane and forklift truck; with typical activities including, loading and unloading coils, setting the line, in-production inspection - ensuring product quality and maintaining a safe working environment. 38.5 hours per week Monday-Thursday 7:30am-4:15pm Fridays 7:30am-1pm The role is based at their Vetchberry Steels site - B6 7BN Key Responsibilities Operating various Cut to length lines Setting up machinery accurately to works order specifications and customer tolerances Maintain production records and complete required documentation Overhead crane when authorised and in accordance with Company training records Loading and unloading coils on a machine line safely Driving forklift trucks when authorised and in accordance with Company training records Ensure cleanliness of work areas Follow safety protocols and maintain a clean work area Reporting quality, damage, shortages and overages Mandatory PPE must be worn at all times Maintaining all metal traceability systems Recycle metal scrap into correct bins. Recycle any packaging waste into correct bins. Report any damage, shortage and overages to the Operations Manager Other warehouse duties as and when required Skills, Knowledge and Expertise Essential knowledge /skills /experience /behaviours: Over Head Crane licence Forklift Truck licence (B1 or above) Good team player Digitally competent Attention to detail skills Desirable knowledge /skills /experience /behaviours: Previously used micrometre and vernier callipers Experience in the steel and metal industry 1st operator experience Job Benefits 25 days holiday + 8 bank holidays Company bonus scheme Advantageous pension scheme Learning & Development opportunities Employee high street vouchers & discounts Employee Assistance Programme Occupational health & health surveillance Length of Service Awards Christmas savings scheme Eye care vouchers Wellbeing events Recognition Portal Rewards Portal Company events Car Salary Exchange Scheme Company share schemes Christmas Closedown About the company The company operates a network of 8 sites with just under 500 employees in England and Northern Ireland which are in; Birmingham, Preston, Darton, Milton Keynes, and two sites in Belfast. They offer a vast range of metal material products such as stainless steel, aluminium and mild steel. They also provide a range of services, whether it be fully welded and fabricated finished parts or bespoke flat products cut to exact sizes. They have years of experience in the aerospace, construction and architecture, automotive and the general engineering industries. To Apply If you feel you are a suitable candidate and would like to work for the company, please click apply. Please note that they reserve the right to remove this advert prior to the advertised expiry date, dependent on the level of response received. You are therefore advised to apply at your earliest convenience. Due to the volume of applications they receive, they are unable to supply individual feedback at the CV review stage.
YT Tech are working with a security technology company based near Worcester. We are looking for a Senior Embedded Engineer who wants to do more than just write code. This is a role for an engineer who enjoys the sharing of ideas and wants an interesting role. The Mission: You will be responsible for developing high-reliability, secure-by-design firmware for sophisticated life-saving devices. You will be porting complex AI and machine learning algorithms (developed in Python/MATLAB) directly onto embedded platforms to drive real-time detection capabilities. Technical Focus: Architecture: Expert-level development in Embedded C and C++. Microprocessors: Deep experience with the STM32 family (ARM Cortex). RTOS: Implementation and optimization using FreeRTOS or similar. Connectivity: Mastery of digital communication protocols (I2C, SPI, CAN Bus, Ethernet). Innovation: Deploying Edge AI and machine learning algorithms on-chip (e.g., Nvidia Jetson). Your experience; Commercial Edge: You have at least 5 years of experience in a commercial product development environment. Communicator: You are confident and articulate. Right to Work: Full, unrestricted right to work in the UK is essential (No visa sponsorship available). If you're interested and match the criteria, pease apply with your most recent CV and I will be in touch to discuss.
May 07, 2026
Full time
YT Tech are working with a security technology company based near Worcester. We are looking for a Senior Embedded Engineer who wants to do more than just write code. This is a role for an engineer who enjoys the sharing of ideas and wants an interesting role. The Mission: You will be responsible for developing high-reliability, secure-by-design firmware for sophisticated life-saving devices. You will be porting complex AI and machine learning algorithms (developed in Python/MATLAB) directly onto embedded platforms to drive real-time detection capabilities. Technical Focus: Architecture: Expert-level development in Embedded C and C++. Microprocessors: Deep experience with the STM32 family (ARM Cortex). RTOS: Implementation and optimization using FreeRTOS or similar. Connectivity: Mastery of digital communication protocols (I2C, SPI, CAN Bus, Ethernet). Innovation: Deploying Edge AI and machine learning algorithms on-chip (e.g., Nvidia Jetson). Your experience; Commercial Edge: You have at least 5 years of experience in a commercial product development environment. Communicator: You are confident and articulate. Right to Work: Full, unrestricted right to work in the UK is essential (No visa sponsorship available). If you're interested and match the criteria, pease apply with your most recent CV and I will be in touch to discuss.
Software Engineer (AWS, Python, C#/C++, CFD/FEA) Oxford - 3-4 days per week in office. £45000 - £68000 + Package. - Must have a Computing/STEM Degree (2:1 or higher). - Can work in their Oxford head office 3-4 days week. - Must have experience with AWS/Distributed Computing and Applied/Mechanical Engineering Your new company You'll be joining a cutting-edge engineering and technology organisation that has grown rapidly in the UK, now pushing into global markets. Formed by world leading experts in science/software the business is redefining how high performance components/instruments are designed. This role would essentially suit someone with a passion for Mechanical Engineering/Physical Modelling with commercial Software Development experience - you must have written production grade code in C#, C++ or Python for application development (not web apps or Embedded) and an interest in pushing Machine Learning over time. Crucially we are looking for experience with AWS Cloud/Distributed Computing to be considered. Your new role In this role you'll be tackling engineering challenges that most organisations simply can't touch and building proprietary software that makes a difference in the world. You will thrive in an environment where new challenges appear daily and innovation is the expectation. Your role will involve developing core modules within the Engineering design platform, and integrating modules into a cloud compute environment for a team that runs Agile. You'll wrap commercial simulation tools, integrate everything into automated workflows and help streamline complex engineering processes through high quality automation. The right person will be motivated and hungry to solve first-of-their-kind challenges. With the rapid expansion and new investment into the company it's an exciting time to be joining with solid progression opportunities. You're also safe in the knowledge the future is bright as their customer list boasts some of the worlds leading tech, automotive, aerospace and engineering brands. What you'll need to succeed We're looking for candidates with a Bachelors, Masters or PhD Degree in a STEM or Computing discipline - ideally from a Russell Group University. We need 2-8 years proficiency working in a commercial Software Engineering role/team using either C#, C++ or Python. Ideally you'll have worked with Vue/Django, JavaScript/Typescript. You should have Distributed Computing experience, ideally in an AWS environment and working with Cloud Architecture to apply for this role. this will be supported by a mix of Kubernetes cluster experience, PostgreSQL and Linux platform background. You'll have a strong knowledge of software design patterns and modern engineering principles and clear communication/interpersonal skills are a must for working closely with internal teams. Experience to help guide the team and confidently push back when needed is essential. Experience in a Mechanical Engineering environment will stand out with some exposure to Computional Fluid Dynamics (CFD) or Finite Element Analysis (FEA). What you'll get in return The company offers 25 days' holiday plus bank holidays, flexible working hours, a pension with a 9% employer contribution, private healthcare covering dental & health screening. There are company share options and a huge collection of local discount schemes including gym membership and there is parking on site. What you need to do now To find out more and to be considered for this position please apply directly, or contact Max Wilcock, Business Director. At Hays Technology, we are shaping the future of recruitment. The rapid adoption of cloud, which is making customer interfaces more engaging and creating a seamless engagement with businesses, means that from the foundation of your organisation up, software developers are critical to success. As the competition for talent grows, we're ready and waiting to help developers really make an impact on organisations, so talk to us today. We are Hays Technology. 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 on our website.
May 07, 2026
Full time
Software Engineer (AWS, Python, C#/C++, CFD/FEA) Oxford - 3-4 days per week in office. £45000 - £68000 + Package. - Must have a Computing/STEM Degree (2:1 or higher). - Can work in their Oxford head office 3-4 days week. - Must have experience with AWS/Distributed Computing and Applied/Mechanical Engineering Your new company You'll be joining a cutting-edge engineering and technology organisation that has grown rapidly in the UK, now pushing into global markets. Formed by world leading experts in science/software the business is redefining how high performance components/instruments are designed. This role would essentially suit someone with a passion for Mechanical Engineering/Physical Modelling with commercial Software Development experience - you must have written production grade code in C#, C++ or Python for application development (not web apps or Embedded) and an interest in pushing Machine Learning over time. Crucially we are looking for experience with AWS Cloud/Distributed Computing to be considered. Your new role In this role you'll be tackling engineering challenges that most organisations simply can't touch and building proprietary software that makes a difference in the world. You will thrive in an environment where new challenges appear daily and innovation is the expectation. Your role will involve developing core modules within the Engineering design platform, and integrating modules into a cloud compute environment for a team that runs Agile. You'll wrap commercial simulation tools, integrate everything into automated workflows and help streamline complex engineering processes through high quality automation. The right person will be motivated and hungry to solve first-of-their-kind challenges. With the rapid expansion and new investment into the company it's an exciting time to be joining with solid progression opportunities. You're also safe in the knowledge the future is bright as their customer list boasts some of the worlds leading tech, automotive, aerospace and engineering brands. What you'll need to succeed We're looking for candidates with a Bachelors, Masters or PhD Degree in a STEM or Computing discipline - ideally from a Russell Group University. We need 2-8 years proficiency working in a commercial Software Engineering role/team using either C#, C++ or Python. Ideally you'll have worked with Vue/Django, JavaScript/Typescript. You should have Distributed Computing experience, ideally in an AWS environment and working with Cloud Architecture to apply for this role. this will be supported by a mix of Kubernetes cluster experience, PostgreSQL and Linux platform background. You'll have a strong knowledge of software design patterns and modern engineering principles and clear communication/interpersonal skills are a must for working closely with internal teams. Experience to help guide the team and confidently push back when needed is essential. Experience in a Mechanical Engineering environment will stand out with some exposure to Computional Fluid Dynamics (CFD) or Finite Element Analysis (FEA). What you'll get in return The company offers 25 days' holiday plus bank holidays, flexible working hours, a pension with a 9% employer contribution, private healthcare covering dental & health screening. There are company share options and a huge collection of local discount schemes including gym membership and there is parking on site. What you need to do now To find out more and to be considered for this position please apply directly, or contact Max Wilcock, Business Director. At Hays Technology, we are shaping the future of recruitment. The rapid adoption of cloud, which is making customer interfaces more engaging and creating a seamless engagement with businesses, means that from the foundation of your organisation up, software developers are critical to success. As the competition for talent grows, we're ready and waiting to help developers really make an impact on organisations, so talk to us today. We are Hays Technology. 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 on our website.
Join our evolving team of creative problem solvers! At Holmes Solutions, we work on some very cool projects. Whether we are revamping construction methods or designing thrill rides, we pride ourselves on finding amazing new ways to do things. We're looking for a motivated Electric Drive System Engineer to join our growing Engineering team. You'll be at the heart of developing electric powertrain solutions across the full system lifecycle - from concept and design through to testing and integration. With a strong background in mechanical or mechatronic engineering, you'll design and optimise batteries, motors, inverters, gearboxes, and associated components, taking real ownership of your projects from early development through to real-world application. This is a full-time role based in Christchurch, with flexible working options available. If you're keen to be part of the action, please read on! Key duties & responsibilities Determining, designing, developing, specifying and verifying electrical motive powertrain systems for use in vehicle propulsion and mechanism actuation. Determining drive and duty demands required of the application; establishing operational performance specifications to enable powertrain development. Architecting end-to-end powertrain energy and drive systems - spanning battery, charging, motors, actuators, and mechanical transmissions. Selection of suitable battery technology and chemistry; working with battery suppliers for the detailed specification, design, and procurement support of suitable battery systems. Identifying and selection of suitable motor controllers and motors and actuators. Working with suppliers to determine application suitability, customisation, configuration, and issue resolution. Mechanical design and engineering of transmission systems for integrated performance with the application system and other powertrain elements. Engineering thermal management performance of the integrated system for operational reliability and robustness. Supporting control strategy development through defining propulsion behaviour and interface requirements. What you'll bring to the team: Detailed technical knowledge and experience in selection of battery technologies with a particular focus on Li battery technologies and chemistries; their characteristics and application suitability. Ability to understand application drive requirements, including the influence of real-world conditions on drive demands. Effective application of engineering modelling tools for predicting behaviour and performance of electric drive systems, and for use in specifying hardware and control strategies. Detailed technical knowledge and experience in selection of BLDC motor controllers and motors for four-quadrant control. Engineering of Low Voltage drive systems up to 60 kW motive power. Knowledge of different mechanical transmission systems and ability in defining, specifying, and engineering mechanical power transmission systems as part of a full electric drive system. Bachelor of Engineering in mechanical or mechatronic engineering, or equivalent. About Holmes Solutions: We work with international clients in many industries including adventure recreation, construction, and roadside hardware. We cover everything from ideation and R&D, to testing, compliance and accreditation. It's fair to say there's never a dull moment in our design hub! Why Join Holmes Solutions? We're a close-knit team that champions innovation, knowledge-sharing, and work-life balance. We celebrate diversity, welcoming applicants from all backgrounds because we believe in the power of varied perspectives to drive innovation. We believe in taking care of our people. Here's a snapshot of what you can look forward to: Financial - Competitive salary, KiwiSaver, profit share bonus, annual leave, and sick pay. Health & Wellbeing - Medical insurance for you and your family, life insurance, wellness allowance, an Employee Assistance Programme, onsite gym with classes available. Culture & Environment - A sociable, supportive culture with team lunches and events. A coffee machine, tea, fresh fruit, and snacks to keep you going! Learning & Development - Training support and access to courses tailored to help you grow and achieve your career goals. Flexibility - Flexible working arrangements to suit your lifestyle. Most importantly, you'll be joining a supportive, innovative, and down-to-earth organisation where no two days look the same - working across a diverse and exciting range of projects. Take Your Next Step With Us: If you are ready to apply your skills to powertrain challenges that genuinely matter - and want to do it in an environment where your contributions are valued and your career can grow - this could be the role for you!
May 07, 2026
Full time
Join our evolving team of creative problem solvers! At Holmes Solutions, we work on some very cool projects. Whether we are revamping construction methods or designing thrill rides, we pride ourselves on finding amazing new ways to do things. We're looking for a motivated Electric Drive System Engineer to join our growing Engineering team. You'll be at the heart of developing electric powertrain solutions across the full system lifecycle - from concept and design through to testing and integration. With a strong background in mechanical or mechatronic engineering, you'll design and optimise batteries, motors, inverters, gearboxes, and associated components, taking real ownership of your projects from early development through to real-world application. This is a full-time role based in Christchurch, with flexible working options available. If you're keen to be part of the action, please read on! Key duties & responsibilities Determining, designing, developing, specifying and verifying electrical motive powertrain systems for use in vehicle propulsion and mechanism actuation. Determining drive and duty demands required of the application; establishing operational performance specifications to enable powertrain development. Architecting end-to-end powertrain energy and drive systems - spanning battery, charging, motors, actuators, and mechanical transmissions. Selection of suitable battery technology and chemistry; working with battery suppliers for the detailed specification, design, and procurement support of suitable battery systems. Identifying and selection of suitable motor controllers and motors and actuators. Working with suppliers to determine application suitability, customisation, configuration, and issue resolution. Mechanical design and engineering of transmission systems for integrated performance with the application system and other powertrain elements. Engineering thermal management performance of the integrated system for operational reliability and robustness. Supporting control strategy development through defining propulsion behaviour and interface requirements. What you'll bring to the team: Detailed technical knowledge and experience in selection of battery technologies with a particular focus on Li battery technologies and chemistries; their characteristics and application suitability. Ability to understand application drive requirements, including the influence of real-world conditions on drive demands. Effective application of engineering modelling tools for predicting behaviour and performance of electric drive systems, and for use in specifying hardware and control strategies. Detailed technical knowledge and experience in selection of BLDC motor controllers and motors for four-quadrant control. Engineering of Low Voltage drive systems up to 60 kW motive power. Knowledge of different mechanical transmission systems and ability in defining, specifying, and engineering mechanical power transmission systems as part of a full electric drive system. Bachelor of Engineering in mechanical or mechatronic engineering, or equivalent. About Holmes Solutions: We work with international clients in many industries including adventure recreation, construction, and roadside hardware. We cover everything from ideation and R&D, to testing, compliance and accreditation. It's fair to say there's never a dull moment in our design hub! Why Join Holmes Solutions? We're a close-knit team that champions innovation, knowledge-sharing, and work-life balance. We celebrate diversity, welcoming applicants from all backgrounds because we believe in the power of varied perspectives to drive innovation. We believe in taking care of our people. Here's a snapshot of what you can look forward to: Financial - Competitive salary, KiwiSaver, profit share bonus, annual leave, and sick pay. Health & Wellbeing - Medical insurance for you and your family, life insurance, wellness allowance, an Employee Assistance Programme, onsite gym with classes available. Culture & Environment - A sociable, supportive culture with team lunches and events. A coffee machine, tea, fresh fruit, and snacks to keep you going! Learning & Development - Training support and access to courses tailored to help you grow and achieve your career goals. Flexibility - Flexible working arrangements to suit your lifestyle. Most importantly, you'll be joining a supportive, innovative, and down-to-earth organisation where no two days look the same - working across a diverse and exciting range of projects. Take Your Next Step With Us: If you are ready to apply your skills to powertrain challenges that genuinely matter - and want to do it in an environment where your contributions are valued and your career can grow - this could be the role for you!
