Harnham - Data & Analytics Recruitment
Leeds, Yorkshire
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Jun 11, 2026
Full time
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Harnham - Data & Analytics Recruitment
Newcastle Upon Tyne, Tyne And Wear
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Jun 11, 2026
Full time
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Lead Data Scientist - Manchester My client is seeking a Lead Data Scientist to own and drive the end-to-end data science strategy across high-impact business domains (e.g., risk, fraud, affordability, customer value). This role will translate complex, real-world financial data into production-grade machine learning systems that deliver measurable commercial and customer outcomes. The successful candidate will lead model development from ideation through deployment and monitoring, working closely with Data Engineers, Analysts, Product, Risk, and Technology stakeholders. They will set standards for experimentation, governance, and MLOps while mentoring and developing other data scientists within the function. This is a hands-on technical leadership role - both strategic and delivery-focused. The Role Strategic & Technical Leadership Define and evolve the data science roadmap aligned to business priorities. Identify high-value ML use cases and translate commercial problems into scalable analytical solutions. Lead end-to-end model lifecycle delivery: problem framing, feature engineering, experimentation, validation, deployment, monitoring, and iteration. Establish best practices for experimentation, evaluation, reproducibility, and documentation. Set standards for model governance, explainability, monitoring, and auditability within a regulated financial environment. Machine Learning & Delivery Architect and develop robust ML models (e.g., classification, regression, anomaly detection) using Python and cloud-based tooling. Design scalable feature pipelines in collaboration with Data Engineering. Lead productionisation efforts, including pipeline design, model versioning, and monitoring frameworks. Implement safe deployment strategies (e.g., champion/challenger models, shadow runs, A/B testing). Ensure model performance, drift detection, and continuous improvement processes are embedded. Stakeholder Engagement Partner with Risk, Compliance, Product, and Technology teams to ensure solutions are commercially viable and regulator-ready. Communicate complex modelling approaches and outcomes clearly to senior stakeholders and non-technical audiences. Influence strategic decision-making through insight and evidence-based recommendations. Governance & Risk • Own model documentation (model cards, lineage, assumptions, validation evidence).• Embed privacy-by-design, fairness, and bias monitoring practices.• Operate confidently within FCA-regulated environments and support audit and regulatory requirements. Team Leadership • Mentor and coach junior and mid-level data scientists.• Lead code reviews and promote engineering best practice (Git, testing, CI/CD awareness).• Contribute to hiring, technical assessment, and capability development.• Foster a culture of curiosity, collaboration, and high performance. About the Candidate The ideal candidate is commercially minded, technically strong, and delivery-focused. They understand that high-quality models create value only when deployed safely and embedded into business processes. They will be comfortable owning ambiguity, setting direction, and raising technical standards. They will combine statistical rigour with pragmatic decision-making and be confident influencing senior stakeholders. They will enjoy mentoring others and developing team capability alongside delivering impactful work. What My Client Is Looking For: • Significant hands-on experience building and deploying machine learning models into production environments.• Strong Python expertise (e.g., pandas, scikit-learn, ML frameworks) with production-quality coding standards.• Advanced SQL skills and deep understanding of relational data.• Strong statistical foundations and model validation expertise.• Experience working within cloud-based data platforms (AWS or equivalent).• Demonstrable experience productionising models and implementing monitoring frameworks.• Experience operating within a regulated environment (financial services preferred).• Ability to communicate effectively with senior stakeholders.• Experience mentoring or leading other data scientists. Desirable • Experience in credit risk, fraud detection, affordability modelling, or payments analytics.• Familiarity with model risk management frameworks.• Exposure to MLOps tooling (CI/CD pipelines, automated testing, model registries).• Experience with model explainability techniques (e.g., SHAP, LIME).• Experience shaping data science roadmaps or leading multiple concurrent initiatives. Benefits Hybrid working Training and development budget Flexible working Interested? Please Click Apply Now! Lead Data Scientist - Manchester
Jun 11, 2026
Full time
Lead Data Scientist - Manchester My client is seeking a Lead Data Scientist to own and drive the end-to-end data science strategy across high-impact business domains (e.g., risk, fraud, affordability, customer value). This role will translate complex, real-world financial data into production-grade machine learning systems that deliver measurable commercial and customer outcomes. The successful candidate will lead model development from ideation through deployment and monitoring, working closely with Data Engineers, Analysts, Product, Risk, and Technology stakeholders. They will set standards for experimentation, governance, and MLOps while mentoring and developing other data scientists within the function. This is a hands-on technical leadership role - both strategic and delivery-focused. The Role Strategic & Technical Leadership Define and evolve the data science roadmap aligned to business priorities. Identify high-value ML use cases and translate commercial problems into scalable analytical solutions. Lead end-to-end model lifecycle delivery: problem framing, feature engineering, experimentation, validation, deployment, monitoring, and iteration. Establish best practices for experimentation, evaluation, reproducibility, and documentation. Set standards for model governance, explainability, monitoring, and auditability within a regulated financial environment. Machine Learning & Delivery Architect and develop robust ML models (e.g., classification, regression, anomaly detection) using Python and cloud-based tooling. Design scalable feature pipelines in collaboration with Data Engineering. Lead productionisation efforts, including pipeline design, model versioning, and monitoring frameworks. Implement safe deployment strategies (e.g., champion/challenger models, shadow runs, A/B testing). Ensure model performance, drift detection, and continuous improvement processes are embedded. Stakeholder Engagement Partner with Risk, Compliance, Product, and Technology teams to ensure solutions are commercially viable and regulator-ready. Communicate complex modelling approaches and outcomes clearly to senior stakeholders and non-technical audiences. Influence strategic decision-making through insight and evidence-based recommendations. Governance & Risk • Own model documentation (model cards, lineage, assumptions, validation evidence).• Embed privacy-by-design, fairness, and bias monitoring practices.• Operate confidently within FCA-regulated environments and support audit and regulatory requirements. Team Leadership • Mentor and coach junior and mid-level data scientists.• Lead code reviews and promote engineering best practice (Git, testing, CI/CD awareness).• Contribute to hiring, technical assessment, and capability development.• Foster a culture of curiosity, collaboration, and high performance. About the Candidate The ideal candidate is commercially minded, technically strong, and delivery-focused. They understand that high-quality models create value only when deployed safely and embedded into business processes. They will be comfortable owning ambiguity, setting direction, and raising technical standards. They will combine statistical rigour with pragmatic decision-making and be confident influencing senior stakeholders. They will enjoy mentoring others and developing team capability alongside delivering impactful work. What My Client Is Looking For: • Significant hands-on experience building and deploying machine learning models into production environments.• Strong Python expertise (e.g., pandas, scikit-learn, ML frameworks) with production-quality coding standards.• Advanced SQL skills and deep understanding of relational data.• Strong statistical foundations and model validation expertise.• Experience working within cloud-based data platforms (AWS or equivalent).• Demonstrable experience productionising models and implementing monitoring frameworks.• Experience operating within a regulated environment (financial services preferred).• Ability to communicate effectively with senior stakeholders.• Experience mentoring or leading other data scientists. Desirable • Experience in credit risk, fraud detection, affordability modelling, or payments analytics.• Familiarity with model risk management frameworks.• Exposure to MLOps tooling (CI/CD pipelines, automated testing, model registries).• Experience with model explainability techniques (e.g., SHAP, LIME).• Experience shaping data science roadmaps or leading multiple concurrent initiatives. Benefits Hybrid working Training and development budget Flexible working Interested? Please Click Apply Now! Lead Data Scientist - Manchester
Harnham - Data & Analytics Recruitment
Edinburgh, Midlothian
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Jun 11, 2026
Full time
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Jun 11, 2026
Full time
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Harnham - Data & Analytics Recruitment
Manchester, Lancashire
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Jun 11, 2026
Full time
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Lead Software Engineer - MongoDB / Node.js / JavaScript As a Lead Engineer, you'll play a pivotal role in shaping the technical direction of the product. You'll guide a talented squad of engineers, drive architectural decisions, and deliver scalable backend systems that directly impact thousands of users. This is a hands-on leadership role where you'll balance technical excellence with mentorship, collaboration, and strategic thinking. What You'll Be Doing Technical Leadership Set the technical direction and lead architectural decision-making Mentor and support junior and senior engineers Conduct code reviews and uphold engineering best practices Backend Engineering Build and maintain scalable backend services and RESTful APIs Design and optimise MongoDB database solutions Improve and maintain existing backend infrastructure Troubleshoot production issues and implement robust solutions Collaboration & Delivery Work closely with cross-functional teams to deliver meaningful customer outcomes Participate in technical interviews and help grow the engineering team Drive improvements in processes, tooling, and development practices Core Technical Skills You'll thrive if you have experience with: MongoDB (data modelling, indexing, aggregation, performance tuning) Node.js and the wider JavaScript/TypeScript ecosystem Express.js and/or Fastify RESTful API design AWS or similar cloud platforms Microservices architecture Testing frameworks (Vitest, Jest, Mocha, etc.) CI/CD pipelines & DevOps practices GitHub workflows Observability tools (e.g., DataDog) Docker / Kubernetes Tech Stack You'll Be Working With Node.js, JavaScript/TypeScript Express.js, Fastify MongoDB AWS Vue.js, Nuxt.js Nice to Have - AI Experience Not essential, but a big bonus: Integrating AI/ML models Working with LLM APIs (OpenAI, Anthropic, etc.) Prompt engineering AI workflow tools (LangChain, Flowise) Building internal AI automation tools Benefits This company genuinely invests in its people. You'll enjoy: Remote-first working with offices in London, Manchester Flexible hours 25 days annual leave + 8 bank holidays + 2 Christmas shutdown days Option to purchase an extra week off Interested? Please Click Apply Now!
Jun 11, 2026
Full time
Lead Software Engineer - MongoDB / Node.js / JavaScript As a Lead Engineer, you'll play a pivotal role in shaping the technical direction of the product. You'll guide a talented squad of engineers, drive architectural decisions, and deliver scalable backend systems that directly impact thousands of users. This is a hands-on leadership role where you'll balance technical excellence with mentorship, collaboration, and strategic thinking. What You'll Be Doing Technical Leadership Set the technical direction and lead architectural decision-making Mentor and support junior and senior engineers Conduct code reviews and uphold engineering best practices Backend Engineering Build and maintain scalable backend services and RESTful APIs Design and optimise MongoDB database solutions Improve and maintain existing backend infrastructure Troubleshoot production issues and implement robust solutions Collaboration & Delivery Work closely with cross-functional teams to deliver meaningful customer outcomes Participate in technical interviews and help grow the engineering team Drive improvements in processes, tooling, and development practices Core Technical Skills You'll thrive if you have experience with: MongoDB (data modelling, indexing, aggregation, performance tuning) Node.js and the wider JavaScript/TypeScript ecosystem Express.js and/or Fastify RESTful API design AWS or similar cloud platforms Microservices architecture Testing frameworks (Vitest, Jest, Mocha, etc.) CI/CD pipelines & DevOps practices GitHub workflows Observability tools (e.g., DataDog) Docker / Kubernetes Tech Stack You'll Be Working With Node.js, JavaScript/TypeScript Express.js, Fastify MongoDB AWS Vue.js, Nuxt.js Nice to Have - AI Experience Not essential, but a big bonus: Integrating AI/ML models Working with LLM APIs (OpenAI, Anthropic, etc.) Prompt engineering AI workflow tools (LangChain, Flowise) Building internal AI automation tools Benefits This company genuinely invests in its people. You'll enjoy: Remote-first working with offices in London, Manchester Flexible hours 25 days annual leave + 8 bank holidays + 2 Christmas shutdown days Option to purchase an extra week off Interested? Please Click Apply Now!
Harnham - Data & Analytics Recruitment
Sheffield, Yorkshire
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Jun 11, 2026
Full time
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Senior C++ Developer - Manchester / Hybrid (Senior C++ Developer, C++ Developer, Software Developer, C++, Qt/QML, API Design, Agile DevOps, Low latency, C4/UML, Senior C++ Developer, C++ Developer, Software Developer) Our client is a global innovator and world leader with one of the most recognisable names within technology. They are continually growing and are looking for a technically savvy Senior C++ Developer to join an award winning technical team and help to lead the technical direction for projects and contribute to the technical architecture. We are seeking passionate Senior C++ Developers with extensive experience using the Qt framework, working on customer facing applications implementing user interface designs and developing business logic and integrating with hardware. You will have excellent C++ skills, as well as being an expert with Qt/QML and considerable experience in API Design (Rest, GraphQL and events), Application monitoring and high performance, low latency engineering. You will possess a DevOps mindset and come from an Agile environment, as well as having system documentation (C4/UML) experience. This is a rare opportunity to join and have a huge impact within a truly exciting global brand. The company is quick to recognise talent and keen to nurture and develop it, as such your career with the company will go as far as your ambitions take you. The diversity of the projects, the client exposure and exceptional career opportunities really make this an elite environment for Senior C++ Developers. To apply for this position please send your CV to Nathan Warner at Noir. Salary: £50k - £65k + Benefits NOIRUKTECHREC NOIRUKREC
Jun 11, 2026
Full time
Senior C++ Developer - Manchester / Hybrid (Senior C++ Developer, C++ Developer, Software Developer, C++, Qt/QML, API Design, Agile DevOps, Low latency, C4/UML, Senior C++ Developer, C++ Developer, Software Developer) Our client is a global innovator and world leader with one of the most recognisable names within technology. They are continually growing and are looking for a technically savvy Senior C++ Developer to join an award winning technical team and help to lead the technical direction for projects and contribute to the technical architecture. We are seeking passionate Senior C++ Developers with extensive experience using the Qt framework, working on customer facing applications implementing user interface designs and developing business logic and integrating with hardware. You will have excellent C++ skills, as well as being an expert with Qt/QML and considerable experience in API Design (Rest, GraphQL and events), Application monitoring and high performance, low latency engineering. You will possess a DevOps mindset and come from an Agile environment, as well as having system documentation (C4/UML) experience. This is a rare opportunity to join and have a huge impact within a truly exciting global brand. The company is quick to recognise talent and keen to nurture and develop it, as such your career with the company will go as far as your ambitions take you. The diversity of the projects, the client exposure and exceptional career opportunities really make this an elite environment for Senior C++ Developers. To apply for this position please send your CV to Nathan Warner at Noir. Salary: £50k - £65k + Benefits NOIRUKTECHREC NOIRUKREC
Senior / Lead Machine Learning Engineer - Time-Series, Pricing, Customer Behaviour, Feature stores, MLOps London Hybrid £100,000 - £120,000 + Equity This is a genuinely interesting opportunity for someone who enjoys solving large-scale, real-world machine learning problems rather than purely experimental work. The team is building forecasting, recommendation, pricing, and AI-driven decision systems that operate across a huge global dataset, with models directly influencing commercial decisions at scale. The role is heavily focused on machine learning engineering, particularly around time-series forecasting, scalable ML systems, feature stores, and MLOps. There's also some exposure to generative AI and LLM-related work, but this is primarily a deeply technical ML engineering role rather than a pure GenAI position. What makes the opportunity stand out is the blend of scale, technical complexity, and visibility. You'd be joining a relatively small but high-calibre AI team with strong research and engineering backgrounds, helping shape systems that directly influence pricing, marketing, and customer experience across thousands of businesses globally. They're looking for somebody who can stay hands-on technically while also helping guide more junior engineers and contribute to the wider technical direction of the team. The environment feels like a startup within a larger global business. There's plenty of ownership, freedom to influence technical decisions, and the opportunity to work on genuinely impactful AI systems at scale. The setup is hybrid with two days per week onsite in London. Experience around forecasting, time-series modelling, recommendation systems, production ML infrastructure, or large-scale MLOps environments would all be highly relevant. Salary: £100,000 - £120,000 plus equity and benefits. APPLY NOW for immediate consideration. N.B. - They do not offer visa sponsorship
Jun 11, 2026
Full time
Senior / Lead Machine Learning Engineer - Time-Series, Pricing, Customer Behaviour, Feature stores, MLOps London Hybrid £100,000 - £120,000 + Equity This is a genuinely interesting opportunity for someone who enjoys solving large-scale, real-world machine learning problems rather than purely experimental work. The team is building forecasting, recommendation, pricing, and AI-driven decision systems that operate across a huge global dataset, with models directly influencing commercial decisions at scale. The role is heavily focused on machine learning engineering, particularly around time-series forecasting, scalable ML systems, feature stores, and MLOps. There's also some exposure to generative AI and LLM-related work, but this is primarily a deeply technical ML engineering role rather than a pure GenAI position. What makes the opportunity stand out is the blend of scale, technical complexity, and visibility. You'd be joining a relatively small but high-calibre AI team with strong research and engineering backgrounds, helping shape systems that directly influence pricing, marketing, and customer experience across thousands of businesses globally. They're looking for somebody who can stay hands-on technically while also helping guide more junior engineers and contribute to the wider technical direction of the team. The environment feels like a startup within a larger global business. There's plenty of ownership, freedom to influence technical decisions, and the opportunity to work on genuinely impactful AI systems at scale. The setup is hybrid with two days per week onsite in London. Experience around forecasting, time-series modelling, recommendation systems, production ML infrastructure, or large-scale MLOps environments would all be highly relevant. Salary: £100,000 - £120,000 plus equity and benefits. APPLY NOW for immediate consideration. N.B. - They do not offer visa sponsorship
Operational Efficiency and Automation Specialist Reference: 56493 Umbrella Rate: £29.96/hr (Inside IR35) Do you have a background in data analysis & visualisation, with experience working with ETL? This is your chance to join a forward-thinking organisation as an Operational Efficiency and Automation Specialist. This role offers an incredible opportunity to drive innovation, collaborate across departments, and make a real impact within a dynamic and inspiring environment. With a focus on digital transformation and operational excellence, this position is perfect for someone looking to challenge themselves and be part of meaningful change. What You Will Do: • Lead the strategic migration and decommissioning of legacy Alteryx workflows by 2027, ensuring a seamless transition to modern tools. • Analyse operational data to uncover trends, develop actionable insights, and create data-driven recommendations for process optimisation. • Design, develop, and implement automation solutions using tools such as Power Automate and Power Apps, integrating them with core platforms like Salesforce. • Collaborate with various departments to map, optimise, and document workflows, ensuring processes are streamlined. • Provide expert support and training on AI tools, helping operational teams maximise their effectiveness. • Work closely with compliance, product, and engineering teams to ensure data quality and adherence to regulations during migrations and integrations. What You Will Bring: • Proven experience in data analysis and visualisation, with proficiency in SQL and tools like Power BI. • Hands-on expertise in ETL processes and data migration, with desirable experience in Alteryx or similar tools. • Demonstrated ability to implement automation solutions using low-code platforms such as Power Automate or Power Apps. • Familiarity with Salesforce, including data extraction, report generation, and integration with external tools. • Strong project management skills, particularly in time-bound migration or systems-transition projects. • Direct experience leading a software decommissioning or tool-migration project would be advantageous. This role is integral to the company's mission to enhance operational efficiency and deliver customer-centric solutions. By leveraging advanced tools and methodologies, you'll contribute to the company's vision of creating innovative and streamlined processes. Your expertise will play a critical role in ensuring the company remains at the forefront of industry transformation. Location: This role is based in Manchester, offering a vibrant and accessible city location. Interested? If you're ready to make an impact and be part of an exciting journey, apply today and take the first step towards an inspiring career as an Operational Efficiency and Automation Specialist. Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency.In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.
Jun 11, 2026
Contractor
Operational Efficiency and Automation Specialist Reference: 56493 Umbrella Rate: £29.96/hr (Inside IR35) Do you have a background in data analysis & visualisation, with experience working with ETL? This is your chance to join a forward-thinking organisation as an Operational Efficiency and Automation Specialist. This role offers an incredible opportunity to drive innovation, collaborate across departments, and make a real impact within a dynamic and inspiring environment. With a focus on digital transformation and operational excellence, this position is perfect for someone looking to challenge themselves and be part of meaningful change. What You Will Do: • Lead the strategic migration and decommissioning of legacy Alteryx workflows by 2027, ensuring a seamless transition to modern tools. • Analyse operational data to uncover trends, develop actionable insights, and create data-driven recommendations for process optimisation. • Design, develop, and implement automation solutions using tools such as Power Automate and Power Apps, integrating them with core platforms like Salesforce. • Collaborate with various departments to map, optimise, and document workflows, ensuring processes are streamlined. • Provide expert support and training on AI tools, helping operational teams maximise their effectiveness. • Work closely with compliance, product, and engineering teams to ensure data quality and adherence to regulations during migrations and integrations. What You Will Bring: • Proven experience in data analysis and visualisation, with proficiency in SQL and tools like Power BI. • Hands-on expertise in ETL processes and data migration, with desirable experience in Alteryx or similar tools. • Demonstrated ability to implement automation solutions using low-code platforms such as Power Automate or Power Apps. • Familiarity with Salesforce, including data extraction, report generation, and integration with external tools. • Strong project management skills, particularly in time-bound migration or systems-transition projects. • Direct experience leading a software decommissioning or tool-migration project would be advantageous. This role is integral to the company's mission to enhance operational efficiency and deliver customer-centric solutions. By leveraging advanced tools and methodologies, you'll contribute to the company's vision of creating innovative and streamlined processes. Your expertise will play a critical role in ensuring the company remains at the forefront of industry transformation. Location: This role is based in Manchester, offering a vibrant and accessible city location. Interested? If you're ready to make an impact and be part of an exciting journey, apply today and take the first step towards an inspiring career as an Operational Efficiency and Automation Specialist. Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency.In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.
Empower Advisory UK (a part of the BMD Group based in Australia) is a project management and advisory business that makes large, complex projects simple. Our team is composed entirely of people who have made a career in delivering large, complex projects both here in UK and in Australia and who know how to make projects deliver ahead of time and budget and generate exceptional outcomes. BMD Group is Australia's leading integrated engineering, construction, and urban development business. We are dedicated to powering futures and creating legacies through a commitment to collaboration. Our team is built on the principles of collaboration and sustainability, ensuring the highest standards are met for every project and client. Job Summary and role description: This is a full-time site-based role for a Consultant Section Engineer based in Plymouth. The Consultant will manage and mentor junior engineers, and assist the Agent in managing all construction operations and technical compliance of the project in order to fulfil the assigned project safely, on time and to the required quality. Daily tasks include: Regular communication and reporting to multiple stakeholders to ensure the seamless execution of projects, including management of subcontractors and liaising with Client representatives. Assist with the construction strategy, including kick-off meetings, pre-commencement documentation such as Method Statements, Environmental and Quality Plans, Construction programmes, procurement, change management and design deliverable schedules. Allocate labour, plant, materials and temporary works to carry out activities to the required standards, programme and budget. Assist with the production of programmes, progress reports, resource and cost plans. Identify and resolve technical problems arising from technical site issues Conduct site evaluations, develop Health & Safety and Quality documentation, provide technical expertise, prepare reports, and ensure compliance with relevant regulations and standards. Qualifications and Experience Essential Degree level/HNC/HND qualification in a Civil Engineering (or equivalent experience) Proven years of construction and engineering experience, including reinforced concrete IT skills including MS Office Excellent Communication and Interpersonal skills Strong Problem-Solving and Decision-Making skills Excellent understanding of CDM regulations and site safety standards Due to the nature of the work and location, a BPSS level of security clearance is necessary. Only candidates holding EU, NATO, 5 Eyes, or MISWG member passports can be considered for this role. Desirable CSCS, SMSTS, TWS or TWC BIM / Digital including Autodesk Working knowledge of NEC contracts, commercial awareness of project delivery, planning, cost control and supply chain
Jun 11, 2026
Full time
Empower Advisory UK (a part of the BMD Group based in Australia) is a project management and advisory business that makes large, complex projects simple. Our team is composed entirely of people who have made a career in delivering large, complex projects both here in UK and in Australia and who know how to make projects deliver ahead of time and budget and generate exceptional outcomes. BMD Group is Australia's leading integrated engineering, construction, and urban development business. We are dedicated to powering futures and creating legacies through a commitment to collaboration. Our team is built on the principles of collaboration and sustainability, ensuring the highest standards are met for every project and client. Job Summary and role description: This is a full-time site-based role for a Consultant Section Engineer based in Plymouth. The Consultant will manage and mentor junior engineers, and assist the Agent in managing all construction operations and technical compliance of the project in order to fulfil the assigned project safely, on time and to the required quality. Daily tasks include: Regular communication and reporting to multiple stakeholders to ensure the seamless execution of projects, including management of subcontractors and liaising with Client representatives. Assist with the construction strategy, including kick-off meetings, pre-commencement documentation such as Method Statements, Environmental and Quality Plans, Construction programmes, procurement, change management and design deliverable schedules. Allocate labour, plant, materials and temporary works to carry out activities to the required standards, programme and budget. Assist with the production of programmes, progress reports, resource and cost plans. Identify and resolve technical problems arising from technical site issues Conduct site evaluations, develop Health & Safety and Quality documentation, provide technical expertise, prepare reports, and ensure compliance with relevant regulations and standards. Qualifications and Experience Essential Degree level/HNC/HND qualification in a Civil Engineering (or equivalent experience) Proven years of construction and engineering experience, including reinforced concrete IT skills including MS Office Excellent Communication and Interpersonal skills Strong Problem-Solving and Decision-Making skills Excellent understanding of CDM regulations and site safety standards Due to the nature of the work and location, a BPSS level of security clearance is necessary. Only candidates holding EU, NATO, 5 Eyes, or MISWG member passports can be considered for this role. Desirable CSCS, SMSTS, TWS or TWC BIM / Digital including Autodesk Working knowledge of NEC contracts, commercial awareness of project delivery, planning, cost control and supply chain
Position Title: Operational Efficiency and Automation Specialist Duration: 6 Month Contract Location: Manchester Applicants MUST have proof of immediate, on-going and valid eligibility to work full time in the UK and travel within the EU. Position Description: The Operational Efficiency and Automation Specialist plays a critical role in driving the Clients' Credit's digital transformation within the Manchester Business Centre (MBC) Operations. This role focuses on leveraging data analysis, automation, and cross-functional collaboration to improve operational efficiency and create customer-centric solutions. A key immediate focus for this role will be leading the strategic migration and decommissioning of legacy Alteryx workflows by 2027, evaluating modern alternative tools, and transitioning processes seamlessly. The successful candidate will work closely with MBC Departments, Compliance, Product, and Engineering teams to identify, implement, and maintain efficient processes, ensuring Salesforce and other core systems are leveraged to their full potential. Essential Skills & Experience: Data Analysis & Visualisation: Proven ability to analyse operational data, identify trends, and extract actionable insights. Proficiency in SQL and data visualisation tools (specifically Power BI). ETL & Data Migration Experience: Experience working with ETL (Extract, Transform, Load) processes. Hands-on experience with Alteryx (or a strong understanding of how to audit and migrate Alteryx workflows to other modern tools) is highly desirable. Automation & Low-Code Development: Hands-on experience implementing workflow automation and business applications using Power Automate, Power Apps, or similar tools. Salesforce Familiarity: Experience working with Salesforce, including extracting data, understanding Salesforce object structures, running reports, or integrating Salesforce with external databases and automation tools. Process Mapping & Problem Solving: Strong understanding of process optimisation methodologies and experience documenting workflows. Project Management: Proven ability to manage projects from inception to completion specifically time-bound migration or systems-transition projects. Communication & Collaboration: Excellent communication skills, with the ability to translate complex technical, migration, or data concepts to non-technical operational stakeholders. Preferred Skills & Experience: Direct experience leading a software decommissioning or tool-migration project. Experience with Python or R for advanced data analysis and ETL scripting. Experience working with Big Data environments and cloud-based platforms (e.g., Microsoft Azure, Google Cloud Platform). Salesforce Administrator or Developer certifications (or equivalent hands-on experience configuring Salesforce flows). Experience working within a regulated financial services environment (e.g., previous Client Credit or similar). Experience Required: Principle Duties: Alteryx Migration & Tool Evaluation (Key Strategic Project): Lead the audit, decommissioning, and migration of legacy Alteryx workflows by 2027. Evaluate modern alternative solutions (e.g., Power Platform, Python, SQL, or other ETL tools), design the transition roadmap, and execute the migration of data pipelines to ensure zero business disruption. Data Analysis & Insight Generation: Analyse operational data (including Salesforce and other core platform data) to identify trends, patterns, and areas for improvement. Develop data-driven recommendations for process optimisation. Create and maintain reports and dashboards (primarily in Power BI) to visualise key performance indicators (KPIs). Automation Solution Development & Implementation: Design, develop, and implement automation solutions (using Power Automate, Power Apps, or similar low-code tools) to streamline operational processes. Integrate these solutions with core platforms like Salesforce to automate manual data entry and system updates. Process Optimisation & Re-engineering: Identify and eliminate inefficiencies in operational processes. Partner with business units to map, develop, and implement improved workflows, documenting changes and training staff as needed. AI Tool Optimisation & Support: Provide expert support and training to operational teams on the effective use of existing AI tools. Develop training materials, troubleshoot issues, and track user adoption. Cross-Functional Collaboration & Data Governance: Collaborate closely with Product, Engineering, and Compliance teams to support the deployment of new AI and automation projects. Ensure data quality, accuracy, and compliance with relevant regulations during migrations and integrations. Additional Information : Location: Hybrid (minimum 3 days per week in the Manchester office) Contechs is a leading Automotive, Design, Engineering, Technology and Innovation Recruitment Consultancy. Founded in 1997, with an inhouse Contractor Care Team to support all external employees, acts as an employment agency for permanent and contract recruitment. How to Apply If you're interested in applying for this position, submit your application and one of our recruiters will be in touch.
Jun 11, 2026
Contractor
Position Title: Operational Efficiency and Automation Specialist Duration: 6 Month Contract Location: Manchester Applicants MUST have proof of immediate, on-going and valid eligibility to work full time in the UK and travel within the EU. Position Description: The Operational Efficiency and Automation Specialist plays a critical role in driving the Clients' Credit's digital transformation within the Manchester Business Centre (MBC) Operations. This role focuses on leveraging data analysis, automation, and cross-functional collaboration to improve operational efficiency and create customer-centric solutions. A key immediate focus for this role will be leading the strategic migration and decommissioning of legacy Alteryx workflows by 2027, evaluating modern alternative tools, and transitioning processes seamlessly. The successful candidate will work closely with MBC Departments, Compliance, Product, and Engineering teams to identify, implement, and maintain efficient processes, ensuring Salesforce and other core systems are leveraged to their full potential. Essential Skills & Experience: Data Analysis & Visualisation: Proven ability to analyse operational data, identify trends, and extract actionable insights. Proficiency in SQL and data visualisation tools (specifically Power BI). ETL & Data Migration Experience: Experience working with ETL (Extract, Transform, Load) processes. Hands-on experience with Alteryx (or a strong understanding of how to audit and migrate Alteryx workflows to other modern tools) is highly desirable. Automation & Low-Code Development: Hands-on experience implementing workflow automation and business applications using Power Automate, Power Apps, or similar tools. Salesforce Familiarity: Experience working with Salesforce, including extracting data, understanding Salesforce object structures, running reports, or integrating Salesforce with external databases and automation tools. Process Mapping & Problem Solving: Strong understanding of process optimisation methodologies and experience documenting workflows. Project Management: Proven ability to manage projects from inception to completion specifically time-bound migration or systems-transition projects. Communication & Collaboration: Excellent communication skills, with the ability to translate complex technical, migration, or data concepts to non-technical operational stakeholders. Preferred Skills & Experience: Direct experience leading a software decommissioning or tool-migration project. Experience with Python or R for advanced data analysis and ETL scripting. Experience working with Big Data environments and cloud-based platforms (e.g., Microsoft Azure, Google Cloud Platform). Salesforce Administrator or Developer certifications (or equivalent hands-on experience configuring Salesforce flows). Experience working within a regulated financial services environment (e.g., previous Client Credit or similar). Experience Required: Principle Duties: Alteryx Migration & Tool Evaluation (Key Strategic Project): Lead the audit, decommissioning, and migration of legacy Alteryx workflows by 2027. Evaluate modern alternative solutions (e.g., Power Platform, Python, SQL, or other ETL tools), design the transition roadmap, and execute the migration of data pipelines to ensure zero business disruption. Data Analysis & Insight Generation: Analyse operational data (including Salesforce and other core platform data) to identify trends, patterns, and areas for improvement. Develop data-driven recommendations for process optimisation. Create and maintain reports and dashboards (primarily in Power BI) to visualise key performance indicators (KPIs). Automation Solution Development & Implementation: Design, develop, and implement automation solutions (using Power Automate, Power Apps, or similar low-code tools) to streamline operational processes. Integrate these solutions with core platforms like Salesforce to automate manual data entry and system updates. Process Optimisation & Re-engineering: Identify and eliminate inefficiencies in operational processes. Partner with business units to map, develop, and implement improved workflows, documenting changes and training staff as needed. AI Tool Optimisation & Support: Provide expert support and training to operational teams on the effective use of existing AI tools. Develop training materials, troubleshoot issues, and track user adoption. Cross-Functional Collaboration & Data Governance: Collaborate closely with Product, Engineering, and Compliance teams to support the deployment of new AI and automation projects. Ensure data quality, accuracy, and compliance with relevant regulations during migrations and integrations. Additional Information : Location: Hybrid (minimum 3 days per week in the Manchester office) Contechs is a leading Automotive, Design, Engineering, Technology and Innovation Recruitment Consultancy. Founded in 1997, with an inhouse Contractor Care Team to support all external employees, acts as an employment agency for permanent and contract recruitment. How to Apply If you're interested in applying for this position, submit your application and one of our recruiters will be in touch.
Technical Lead - TypeScript / Node.js As a Technical Lead, you ll work directly with the founder to shape the technical vision and execution of a high-growth startup backed by a larger, established group. You ll lead a talented engineering squad, drive architectural decisions, and deliver scalable backend systems that support thousands of users-all while influencing the strategic direction of the product. This is a hands-on leadership role where you ll combine deep technical expertise with mentorship, strategic thinking, and cross-functional collaboration in a fast-moving startup environment. The Role Technical Strategy & Leadership Work alongside the founder to define and evolve the technical roadmap Lead architectural design and critical technology decisions Champion engineering best practices, code quality, and technical excellence Mentor, coach, and grow engineers at all levels Foster a culture of ownership, collaboration, and innovation Backend Architecture & Development Architect, build, and scale backend services and RESTful APIs Design, optimise, and maintain MongoDB database solutions Improve system reliability, performance, and scalability Resolve complex production issues with robust solutions Implement microservices and modern backend patterns Collaboration & Delivery Partner with Product, Design, and the founder to deliver high-impact outcomes Participate in hiring and technical interviews to grow the engineering team Drive improvements in processes, CI/CD pipelines, and DevOps practices Ensure effective planning, estimation, and execution across initiatives Core Technical Expertise You ll thrive in this role if you have strong experience with: MongoDB (data modelling, indexing, aggregation pipelines, performance tuning) Node.js and the wider JavaScript/TypeScript ecosystem RESTful API design and distributed systems AWS or similar cloud platforms Microservices architecture CI/CD pipelines and DevOps best practices GitHub workflows Observability and monitoring tools (e.g., Datadog) Docker and Kubernetes Tech Stack You ll be working with: Node.js, JavaScript/TypeScript Express.js, Fastify MongoDB AWS Vue.js, Nuxt.js Nice to Have AI Experience Not essential, but highly desirable: Integrating AI/ML models into production systems Working with LLM APIs (OpenAI, Anthropic, etc.) Prompt engineering AI workflow tools (LangChain, Flowise) Building internal AI-powered automation tools Why This Role is Exciting Work directly with the founder on a startup backed by a larger, established group Influence the technical and product direction from the ground up Hands-on leadership in a fast-moving, high-impact environment Benefits We genuinely invest in our people. You ll enjoy: Hybrid Working Flexible working hours 25 days annual leave + 8 bank holidays + 2 Christmas shutdown days Option to purchase an additional week of leave Interested? Please Click Apply Now! Technical Lead - TypeScript / Node.js
Jun 11, 2026
Full time
Technical Lead - TypeScript / Node.js As a Technical Lead, you ll work directly with the founder to shape the technical vision and execution of a high-growth startup backed by a larger, established group. You ll lead a talented engineering squad, drive architectural decisions, and deliver scalable backend systems that support thousands of users-all while influencing the strategic direction of the product. This is a hands-on leadership role where you ll combine deep technical expertise with mentorship, strategic thinking, and cross-functional collaboration in a fast-moving startup environment. The Role Technical Strategy & Leadership Work alongside the founder to define and evolve the technical roadmap Lead architectural design and critical technology decisions Champion engineering best practices, code quality, and technical excellence Mentor, coach, and grow engineers at all levels Foster a culture of ownership, collaboration, and innovation Backend Architecture & Development Architect, build, and scale backend services and RESTful APIs Design, optimise, and maintain MongoDB database solutions Improve system reliability, performance, and scalability Resolve complex production issues with robust solutions Implement microservices and modern backend patterns Collaboration & Delivery Partner with Product, Design, and the founder to deliver high-impact outcomes Participate in hiring and technical interviews to grow the engineering team Drive improvements in processes, CI/CD pipelines, and DevOps practices Ensure effective planning, estimation, and execution across initiatives Core Technical Expertise You ll thrive in this role if you have strong experience with: MongoDB (data modelling, indexing, aggregation pipelines, performance tuning) Node.js and the wider JavaScript/TypeScript ecosystem RESTful API design and distributed systems AWS or similar cloud platforms Microservices architecture CI/CD pipelines and DevOps best practices GitHub workflows Observability and monitoring tools (e.g., Datadog) Docker and Kubernetes Tech Stack You ll be working with: Node.js, JavaScript/TypeScript Express.js, Fastify MongoDB AWS Vue.js, Nuxt.js Nice to Have AI Experience Not essential, but highly desirable: Integrating AI/ML models into production systems Working with LLM APIs (OpenAI, Anthropic, etc.) Prompt engineering AI workflow tools (LangChain, Flowise) Building internal AI-powered automation tools Why This Role is Exciting Work directly with the founder on a startup backed by a larger, established group Influence the technical and product direction from the ground up Hands-on leadership in a fast-moving, high-impact environment Benefits We genuinely invest in our people. You ll enjoy: Hybrid Working Flexible working hours 25 days annual leave + 8 bank holidays + 2 Christmas shutdown days Option to purchase an additional week of leave Interested? Please Click Apply Now! Technical Lead - TypeScript / Node.js
Senior Software Developer - Industrial Automation Environment We are seeking a Senior Software Developer to play a key role in designing, building and maintaining core software applications that support advanced automated materials handling, warehouse automation and robotics-led production environments. This is a software-led position, focused on developing production-grade applications, platforms and user interfaces. While the software operates within an industrial setting, the primary responsibility is software engineering - not hardware configuration or PLC programming. You will join a team responsible for modernising an existing technology stack, contributing to the transition from Python/Django to C#/.NET and Blazor. This role offers ownership across application design, architecture, and long-term maintainability, alongside close collaboration with engineering teams to ensure software aligns with real-world systems. Key Responsibilities Design, develop and maintain core software applications used in automation and production environments Lead hands-on development in C#/.NET, contributing to system migration and platform evolution Build and enhance operator-facing applications, dashboards and visualisation tools displaying real-time system data Own application logic, workflows and behaviour within production systems Contribute to overall software architecture, technical standards and development best practices Implement and maintain version control and CI/CD pipelines using GitHub Ensure applications are reliable, maintainable and resilient, with a strong emphasis on fault handling and diagnostics Collaborate with controls, robotics and mechanical engineers to ensure seamless integration with physical systems Support testing, commissioning and deployment of software releases Mentor junior developers and contribute to technical decision-making within the team Required Skills & Experience Software Development Strong commercial experience with C# and .NET Experience building user interfaces and application logic using Blazor or similar frameworks Background in Python, ideally within Django environments (particularly for legacy systems or migrations) Hands-on experience with GitHub, including branching strategies, pull requests and CI/CD workflows Strong understanding of clean code principles, maintainability and scalable software design Industrial / Operational Environments Experience developing software for industrial, manufacturing, automation, logistics or IoT environments Understanding of how software interacts with PLC-controlled or machine-driven systems (no PLC programming required) Comfortable working in environments where uptime, reliability and performance are critical Systems & Architecture Experience designing and maintaining long-running, production-grade systems Ability to build fault-tolerant applications interacting with external systems and data sources Strong debugging, troubleshooting and problem-solving capability What This Role Offers The opportunity to work on real-world, high-impact systems combining software, robotics and automation Ownership of critical applications that directly influence operational performance Involvement in a large-scale technology modernisation programme A collaborative, multidisciplinary environment with exposure to cutting-edge automation technologies Influence over technical direction, standards and best practices Role Scope This role is: A hands-on senior software development position Focused on building robust, scalable applications Product and platform oriented Embedded within a real-world automation environment This role is not: A PLC programming position A controls engineering or systems integration-only role A pure web or SaaS-focused development job To find out more about Computer Futures please visit (url removed) Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales
Jun 11, 2026
Full time
Senior Software Developer - Industrial Automation Environment We are seeking a Senior Software Developer to play a key role in designing, building and maintaining core software applications that support advanced automated materials handling, warehouse automation and robotics-led production environments. This is a software-led position, focused on developing production-grade applications, platforms and user interfaces. While the software operates within an industrial setting, the primary responsibility is software engineering - not hardware configuration or PLC programming. You will join a team responsible for modernising an existing technology stack, contributing to the transition from Python/Django to C#/.NET and Blazor. This role offers ownership across application design, architecture, and long-term maintainability, alongside close collaboration with engineering teams to ensure software aligns with real-world systems. Key Responsibilities Design, develop and maintain core software applications used in automation and production environments Lead hands-on development in C#/.NET, contributing to system migration and platform evolution Build and enhance operator-facing applications, dashboards and visualisation tools displaying real-time system data Own application logic, workflows and behaviour within production systems Contribute to overall software architecture, technical standards and development best practices Implement and maintain version control and CI/CD pipelines using GitHub Ensure applications are reliable, maintainable and resilient, with a strong emphasis on fault handling and diagnostics Collaborate with controls, robotics and mechanical engineers to ensure seamless integration with physical systems Support testing, commissioning and deployment of software releases Mentor junior developers and contribute to technical decision-making within the team Required Skills & Experience Software Development Strong commercial experience with C# and .NET Experience building user interfaces and application logic using Blazor or similar frameworks Background in Python, ideally within Django environments (particularly for legacy systems or migrations) Hands-on experience with GitHub, including branching strategies, pull requests and CI/CD workflows Strong understanding of clean code principles, maintainability and scalable software design Industrial / Operational Environments Experience developing software for industrial, manufacturing, automation, logistics or IoT environments Understanding of how software interacts with PLC-controlled or machine-driven systems (no PLC programming required) Comfortable working in environments where uptime, reliability and performance are critical Systems & Architecture Experience designing and maintaining long-running, production-grade systems Ability to build fault-tolerant applications interacting with external systems and data sources Strong debugging, troubleshooting and problem-solving capability What This Role Offers The opportunity to work on real-world, high-impact systems combining software, robotics and automation Ownership of critical applications that directly influence operational performance Involvement in a large-scale technology modernisation programme A collaborative, multidisciplinary environment with exposure to cutting-edge automation technologies Influence over technical direction, standards and best practices Role Scope This role is: A hands-on senior software development position Focused on building robust, scalable applications Product and platform oriented Embedded within a real-world automation environment This role is not: A PLC programming position A controls engineering or systems integration-only role A pure web or SaaS-focused development job To find out more about Computer Futures please visit (url removed) Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales
Senior Software Engineer - UI / GUI (C# WPF / XAML) Portsmouth, Hampshire Up to 85,000 + Benefits Onsite 4 or 5 day working week Some projects are maintenance. Some are migrations. And then something genuinely rare comes along - a blank canvas, a serious engineering challenge, and a product deployed on military vessels around the world. A well-established international maritime technology company is building a brand new Integrated Maritime Management System (IMMS) from scratch in Waterlooville. The pace is real - there's a client demo in January. You'll be among the first engineers into the UK team, with a clear expectation that early hires grow into team lead roles. The Role You'll own the front-end - building modular, reusable WPF components for a data-rich desktop application that runs across different display systems in naval environments. Working from wireframes supplied by a Canadian design lead, you'll create clean, performant GUIs fed by real-time data streams. Technically demanding, purposeful, and built for real-world deployment. Stack C# / WPF / XAML - greenfield from scratch MVVM, DI, Data Templates, Styling - modular composable front-end SignalR, gRPC, Pub/Sub, Data Flow TPL - real-time data integration Visual Studio Nice-to-have: Managed C++, server-side C# / ORM What We're Looking For 5+ years C# WPF/XAML engineering experience Strong MVVM, DI, and modular UI architecture Experience with real-time or streamed data in a desktop GUI N-tier and message-based architecture familiarity Eligible for SC security clearance Onsite in Portsmouth (circa 30-person office). 40 hours over 4 or 5 days with start/finish flexibility. Degree in Software Engineering or related discipline preferred. Interested? This role is being managed exclusively by Spectrum IT Recruitment. Contact Daniel Sumpter, Senior Consultant, (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Jun 11, 2026
Full time
Senior Software Engineer - UI / GUI (C# WPF / XAML) Portsmouth, Hampshire Up to 85,000 + Benefits Onsite 4 or 5 day working week Some projects are maintenance. Some are migrations. And then something genuinely rare comes along - a blank canvas, a serious engineering challenge, and a product deployed on military vessels around the world. A well-established international maritime technology company is building a brand new Integrated Maritime Management System (IMMS) from scratch in Waterlooville. The pace is real - there's a client demo in January. You'll be among the first engineers into the UK team, with a clear expectation that early hires grow into team lead roles. The Role You'll own the front-end - building modular, reusable WPF components for a data-rich desktop application that runs across different display systems in naval environments. Working from wireframes supplied by a Canadian design lead, you'll create clean, performant GUIs fed by real-time data streams. Technically demanding, purposeful, and built for real-world deployment. Stack C# / WPF / XAML - greenfield from scratch MVVM, DI, Data Templates, Styling - modular composable front-end SignalR, gRPC, Pub/Sub, Data Flow TPL - real-time data integration Visual Studio Nice-to-have: Managed C++, server-side C# / ORM What We're Looking For 5+ years C# WPF/XAML engineering experience Strong MVVM, DI, and modular UI architecture Experience with real-time or streamed data in a desktop GUI N-tier and message-based architecture familiarity Eligible for SC security clearance Onsite in Portsmouth (circa 30-person office). 40 hours over 4 or 5 days with start/finish flexibility. Degree in Software Engineering or related discipline preferred. Interested? This role is being managed exclusively by Spectrum IT Recruitment. Contact Daniel Sumpter, Senior Consultant, (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
The Opportunity Join a global leader in flight simulation technology, delivering cutting-edge Full Flight Simulators (FFS) and Fixed Training Devices (FTD) used worldwide to train pilots and improve aviation safety. This role sits at the heart of our technology transformation, offering the opportunity to work on real-time, safety-critical systems in a fast-paced, collaborative engineering environment. You ll play a key role in developing next-generation simulation capabilities that directly contribute to Creating Safer Skies. Why Join? • Work on high-fidelity flight simulators used by leading aerospace organisations • Collaborate across systems, software, avionics, and hardware teams • Be part of a growing, forward-thinking engineering environment • Strong opportunities for career progression and technical development What You ll Be Doing • Develop real-time software for flight simulation systems (control systems, GUIs, simulation logic) • Support system integration, testing, debugging, and fault resolution • Contribute across the full engineering lifecycle: o Requirements Design Development V&V Customer Acceptance • Work within a Systems Engineering (V-Model) environment • Support post-delivery enhancements and customer support What We re Looking For • Strong proficiency in C programming (C++/C# beneficial) • Understanding of Systems Engineering V-Model / SDLC • Integration, test, and debugging of complex systems • Ability to work independently and within multidisciplinary teams • Strong communication and stakeholder engagement skills Desirable • Safety-critical systems (aerospace, automotive, defence) • Knowledge of ARINC / AFDX / CAN bus protocols • Visual Studio / Windows development • Familiarity with Atlassian tools (Jira, Confluence, Bitbucket) • Exposure to web technologies (JavaScript, HTML)
Jun 11, 2026
Full time
The Opportunity Join a global leader in flight simulation technology, delivering cutting-edge Full Flight Simulators (FFS) and Fixed Training Devices (FTD) used worldwide to train pilots and improve aviation safety. This role sits at the heart of our technology transformation, offering the opportunity to work on real-time, safety-critical systems in a fast-paced, collaborative engineering environment. You ll play a key role in developing next-generation simulation capabilities that directly contribute to Creating Safer Skies. Why Join? • Work on high-fidelity flight simulators used by leading aerospace organisations • Collaborate across systems, software, avionics, and hardware teams • Be part of a growing, forward-thinking engineering environment • Strong opportunities for career progression and technical development What You ll Be Doing • Develop real-time software for flight simulation systems (control systems, GUIs, simulation logic) • Support system integration, testing, debugging, and fault resolution • Contribute across the full engineering lifecycle: o Requirements Design Development V&V Customer Acceptance • Work within a Systems Engineering (V-Model) environment • Support post-delivery enhancements and customer support What We re Looking For • Strong proficiency in C programming (C++/C# beneficial) • Understanding of Systems Engineering V-Model / SDLC • Integration, test, and debugging of complex systems • Ability to work independently and within multidisciplinary teams • Strong communication and stakeholder engagement skills Desirable • Safety-critical systems (aerospace, automotive, defence) • Knowledge of ARINC / AFDX / CAN bus protocols • Visual Studio / Windows development • Familiarity with Atlassian tools (Jira, Confluence, Bitbucket) • Exposure to web technologies (JavaScript, HTML)
A leading civil engineering contractor with an annual turnover exceeding 100 million is seeking an experienced Freelance Site Manager to support the delivery of major infrastructure and environmental projects. Working as part of a well-established delivery team, you will play a key role in the successful execution of projects secured through the Environment Agency (EA) Framework, including flood defence, river restoration, coastal protection, and wider civil engineering schemes. Key Responsibilities - Manage day-to-day site operations, ensuring projects are delivered safely, on time, and within budget. - Coordinate subcontractors, direct labour, plant, and materials. - Ensure compliance with health, safety, environmental, and quality standards. - Conduct site briefings, toolbox talks, and progress meetings. - Liaise with clients, consultants, and key stakeholders. - Maintain accurate site records and reporting documentation. - Support programme delivery and resolve on-site issues proactively. Requirements - Proven experience as a Site Manager within civil engineering or infrastructure projects. - Previous experience delivering works under the Environment Agency framework is highly desirable. - Strong knowledge of NEC contracts and civil engineering construction practices. - Valid SMSTS, CSCS, and First Aid qualifications. - Excellent leadership, communication, and organisational skills. - Ability to manage multiple stakeholders in a fast-paced project environment. What's on Offer - Opportunity to work with a highly respected 100m turnover civil engineering contractor. - Long-term pipeline of secured framework work. - Competitive freelance day rates. - Weekly CIS payments available. - Supportive project teams and established operational structures.
Jun 11, 2026
Contractor
A leading civil engineering contractor with an annual turnover exceeding 100 million is seeking an experienced Freelance Site Manager to support the delivery of major infrastructure and environmental projects. Working as part of a well-established delivery team, you will play a key role in the successful execution of projects secured through the Environment Agency (EA) Framework, including flood defence, river restoration, coastal protection, and wider civil engineering schemes. Key Responsibilities - Manage day-to-day site operations, ensuring projects are delivered safely, on time, and within budget. - Coordinate subcontractors, direct labour, plant, and materials. - Ensure compliance with health, safety, environmental, and quality standards. - Conduct site briefings, toolbox talks, and progress meetings. - Liaise with clients, consultants, and key stakeholders. - Maintain accurate site records and reporting documentation. - Support programme delivery and resolve on-site issues proactively. Requirements - Proven experience as a Site Manager within civil engineering or infrastructure projects. - Previous experience delivering works under the Environment Agency framework is highly desirable. - Strong knowledge of NEC contracts and civil engineering construction practices. - Valid SMSTS, CSCS, and First Aid qualifications. - Excellent leadership, communication, and organisational skills. - Ability to manage multiple stakeholders in a fast-paced project environment. What's on Offer - Opportunity to work with a highly respected 100m turnover civil engineering contractor. - Long-term pipeline of secured framework work. - Competitive freelance day rates. - Weekly CIS payments available. - Supportive project teams and established operational structures.
Owen Daniels are currently recruiting for an experienced Senior Authorised Person (SAP) to join a growing and dynamic engineering organisation delivering HV infrastructure and electrical network projects across the UK.This is an excellent opportunity for a qualified and safety-focused HV professional with strong operational experience within electrical transmission, distribution, or critical infrastructure environments.Key Responsibilities Operate as a Senior Authorised Person on HV electrical systems. Carry out switching, isolation, sanctioning and permitting activities in accordance with company safety rules. Manage and supervise HV works on substations, power distribution and network infrastructure projects. Ensure all works are completed safely, efficiently and in compliance with industry regulations. Support commissioning, maintenance and fault response activities. Provide technical guidance and mentorship to engineers and site teams. Liaise with clients, contractors and project stakeholders. Essential Requirements Current Senior Authorised Person (SAP) qualification / authorisation. Proven experience working on HV systems up to 11kV, 33kV, 66kV or above. Strong understanding of electrical safety rules and operational procedures. Relevant electrical qualifications such as: City & Guilds / NVQ Level 3 Electrical HNC/HND in Electrical Engineering (desirable) Full UK Driving Licence. Excellent communication and leadership skills. What's On Offer £60,000 basic salary Overtime opportunities Company vehicle or allowance Pension scheme Training and career progression Opportunity to work on major UK infrastructure projects If you are a qualified Senior Authorised Person looking for your next challenge, we would like to hear from you.Apply today with your updated CV.
Jun 11, 2026
Full time
Owen Daniels are currently recruiting for an experienced Senior Authorised Person (SAP) to join a growing and dynamic engineering organisation delivering HV infrastructure and electrical network projects across the UK.This is an excellent opportunity for a qualified and safety-focused HV professional with strong operational experience within electrical transmission, distribution, or critical infrastructure environments.Key Responsibilities Operate as a Senior Authorised Person on HV electrical systems. Carry out switching, isolation, sanctioning and permitting activities in accordance with company safety rules. Manage and supervise HV works on substations, power distribution and network infrastructure projects. Ensure all works are completed safely, efficiently and in compliance with industry regulations. Support commissioning, maintenance and fault response activities. Provide technical guidance and mentorship to engineers and site teams. Liaise with clients, contractors and project stakeholders. Essential Requirements Current Senior Authorised Person (SAP) qualification / authorisation. Proven experience working on HV systems up to 11kV, 33kV, 66kV or above. Strong understanding of electrical safety rules and operational procedures. Relevant electrical qualifications such as: City & Guilds / NVQ Level 3 Electrical HNC/HND in Electrical Engineering (desirable) Full UK Driving Licence. Excellent communication and leadership skills. What's On Offer £60,000 basic salary Overtime opportunities Company vehicle or allowance Pension scheme Training and career progression Opportunity to work on major UK infrastructure projects If you are a qualified Senior Authorised Person looking for your next challenge, we would like to hear from you.Apply today with your updated CV.
Matchtech are working closely with a UK defence technology organisation delivering secure communications and cyber solutions used in mission-critical environments. Their teams build high-assurance cryptographic and key management capabilities that enable the confidential exchange of sensitive information for customers operating across tactical and strategic settings. If you enjoy solving hard engineering problems where security, reliability, and real-world outcomes matter, this is a good fit. Important information Clearance Due to the nature of the work, applicants will need to meet UK security clearance eligibility requirements (including UK residency criteria). DV clearance is required (you must be eligible and willing to obtain and maintain DV; SC is typically required first). Working arrangement Fully onsite: please only apply if you can work onsite in Maidenhead The role You'll provide technical leadership in a software engineering team (typically 5 to 20 engineers) delivering multiple concurrent R&D and production programmes. The focus is on embedded and/or application software in secure environments, with end-to-end ownership across the software lifecycle (requirements through design, implementation, test, verification, deployment and support). You may also have line management responsibility (up to c. 5 engineers, depending on team structure). Key responsibilities Lead the architecture, design, development, documentation, and testing of embedded and/or application software. Derive software requirements and architecture from higher-level system requirements and design artefacts. Apply object-oriented design principles to support reuse and integration with test frameworks. Produce and maintain designs/models using tools such as UML/SysML approaches and modelling environments (e.g., Enterprise Architect-type tooling). Promote strong engineering practice: secure development, coding standards, static/runtime analysis, CI, and automated testing. Estimate effort and deliver against agreed cost/schedule commitments. Contribute to improving tools, processes, and engineering standards across the wider software community. Provide technical input to bids/proposals, including estimates and risk assessments. Mentor engineers; lead reviews and sign-off of significant technical deliverables. Maintain information security in line with government and programme requirements. Essential skills and experience Degree in an engineering/science/maths discipline (or equivalent practical experience). Strong experience in at least one of the following: Embedded product development (bare-metal and/or RTOS, e.g., ThreadX/QNX or similar) Embedded Linux application, kernel, and/or driver development Strong C and C++ development background. Solid understanding of modern software lifecycle practices (requirements, design, implementation, test/verification). Experience with OO design, design patterns, and principles such as SOLID. Strong testing mindset: design for test, automated test approaches, and verification. Desirable Rust JavaScript / Node.js / React (where relevant to tooling or supporting applications) Communications protocols (e.g., TCP/IP) CI/CD and automated test frameworks Secure/defensive coding standards (e.g., MISRA exposure) Requirements/model-based tooling exposure (e.g., DOORS-like requirements tools, UML/SysML modelling) Working pattern & benefits Fully onsite role in Maidenhead. Competitive package including bonus, pension, private medical, strong holiday allowance, and security allowance (where applicable and dependent on clearance held).
Jun 11, 2026
Full time
Matchtech are working closely with a UK defence technology organisation delivering secure communications and cyber solutions used in mission-critical environments. Their teams build high-assurance cryptographic and key management capabilities that enable the confidential exchange of sensitive information for customers operating across tactical and strategic settings. If you enjoy solving hard engineering problems where security, reliability, and real-world outcomes matter, this is a good fit. Important information Clearance Due to the nature of the work, applicants will need to meet UK security clearance eligibility requirements (including UK residency criteria). DV clearance is required (you must be eligible and willing to obtain and maintain DV; SC is typically required first). Working arrangement Fully onsite: please only apply if you can work onsite in Maidenhead The role You'll provide technical leadership in a software engineering team (typically 5 to 20 engineers) delivering multiple concurrent R&D and production programmes. The focus is on embedded and/or application software in secure environments, with end-to-end ownership across the software lifecycle (requirements through design, implementation, test, verification, deployment and support). You may also have line management responsibility (up to c. 5 engineers, depending on team structure). Key responsibilities Lead the architecture, design, development, documentation, and testing of embedded and/or application software. Derive software requirements and architecture from higher-level system requirements and design artefacts. Apply object-oriented design principles to support reuse and integration with test frameworks. Produce and maintain designs/models using tools such as UML/SysML approaches and modelling environments (e.g., Enterprise Architect-type tooling). Promote strong engineering practice: secure development, coding standards, static/runtime analysis, CI, and automated testing. Estimate effort and deliver against agreed cost/schedule commitments. Contribute to improving tools, processes, and engineering standards across the wider software community. Provide technical input to bids/proposals, including estimates and risk assessments. Mentor engineers; lead reviews and sign-off of significant technical deliverables. Maintain information security in line with government and programme requirements. Essential skills and experience Degree in an engineering/science/maths discipline (or equivalent practical experience). Strong experience in at least one of the following: Embedded product development (bare-metal and/or RTOS, e.g., ThreadX/QNX or similar) Embedded Linux application, kernel, and/or driver development Strong C and C++ development background. Solid understanding of modern software lifecycle practices (requirements, design, implementation, test/verification). Experience with OO design, design patterns, and principles such as SOLID. Strong testing mindset: design for test, automated test approaches, and verification. Desirable Rust JavaScript / Node.js / React (where relevant to tooling or supporting applications) Communications protocols (e.g., TCP/IP) CI/CD and automated test frameworks Secure/defensive coding standards (e.g., MISRA exposure) Requirements/model-based tooling exposure (e.g., DOORS-like requirements tools, UML/SysML modelling) Working pattern & benefits Fully onsite role in Maidenhead. Competitive package including bonus, pension, private medical, strong holiday allowance, and security allowance (where applicable and dependent on clearance held).
