The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. Building a next-generation data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data powered applications. We are seeking an experienced Senior Product Manager who will be accountable for designing and delivering the roadmap for molecule design products to support GSK Research and Development. This role will be pivotal in ensuring a cohesive enterprise level strategy towards molecule design solutions and will ensure our scientists have access to best in class technology products to improve research productivity and ultimately deliver new medicines for our patients. In this role you will: Own and lead the product roadmap, product development, launch and adoption of novel molecule design solutions to benefit the scientific community at GSK across multiple departments Play a key role in defining the strategic direction for molecule design tools with GenAI capabilities at the core Partner closely with the wider Onyx tech team, as well as R&D scientists and leaders, to deliver industry leading cloud based products and solutions with GenAI and agentic capabilities. Key Responsibilities: Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for molecule design solutions and tools, aligned with the Onyx's overall product vision and objectives. Customer Understanding: Conduct in depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements. Product Planning and Definition: Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals. Agile Product Development: Work closely with portfolio and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management. GenAI Product and Capability Upgrade: Spearhead the development of a new class of AI Agents, powered by LLMs and Generative AI, designed to autonomously execute complex scientific research tasks like hypothesis generation, experimental design, and data interpretation. Design and productize the human agent interaction layer, moving beyond traditional UIs to create conversational and goal driven interfaces that allow scientists to delegate multi step tasks and interpret the outputs of autonomous GenAI systems. Own the product lifecycle for models and agents, leading the strategy for data acquisition, model fine tuning, and the development of APIs/agents that allow them to be leveraged as "tools" by other agents and systems. Model In The Loop Design: Structuring products so that R&D users can easily challenge, verify, and provide feedback to improve the agentic tools and underlying models (human guided iteration). Demonstrate Human + AI collaboration with minimum friction to drive user adoption. Lead highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine tuning foundational models, vector databases, and multi agent system architectures. Cross Functional Collaboration: Collaborate with both tech and RD teams, including DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and RD data leadership teams, to align product strategies, gather input, and drive successful implementation plans. Product Launch and Adoption: Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction. Product Performance and Optimization: Continuously monitor product performance, collect and analyze data, and drive iterative improvements to enhance product usability, performance, and customer experience. Qualifications & Skills: Bachelors degree in Bioinformatics, Computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering, or related discipline. Significant experience in product management with a proven track record of shipping 0 to 1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large scale enterprise setting. Demonstrated experience defining product strategy for modern applications, including hands on experience with technologies core to AI systems such as vector databases, MLOps, retrieval augmented generation, and model fine tuning. Direct product management experience designing and launching AI agents that can utilize tools (APIs, function calling) to perform complex, multi step actions and reason about their environment. Deep technical fluency with cloud native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM based applications. Preferred Qualifications & Skills: Master's degree or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Data Science, Computer Science/Software Engineering, Cloud Computing or related discipline. Hands on software engineering or data science experience in a GenAI focused team prior to transitioning into product management. Familiarity with the architecture of modern transformer based models and the strategic product trade offs between using proprietary models (e.g., GPT 4, Claude), open source models (e.g., Llama, Mistral), and fine tuning custom models. Experience building products that manage or interpret complex, unstructured biomedical data. Extensive knowledge of bioinformatics, computational biology, or cheminformatics, and a strong vision for how agentic AI can revolutionize the drug discovery process. Extensive product experience designing, optimizing, and implementing Model Context Protocols (MCP) for LLM powered agents, including advanced strategies for prompt engineering, context window management, memory architectures (e.g., short term, long term memory), and ensuring model coherence over extended multi turn interactions. Hands on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc. Previous experience in life science industry or biopharma R&D is a plus. Closing Date for Applications: Wednesday 25th March 2026 (COB) Please note: As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and will review all applications, however response times may be longer than usual, and interviews may be scheduled after the New Year. We appreciate your understanding and look forward to connecting soon! Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used to monitor the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients . click apply for full job details
Apr 16, 2026
Full time
The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. Building a next-generation data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data powered applications. We are seeking an experienced Senior Product Manager who will be accountable for designing and delivering the roadmap for molecule design products to support GSK Research and Development. This role will be pivotal in ensuring a cohesive enterprise level strategy towards molecule design solutions and will ensure our scientists have access to best in class technology products to improve research productivity and ultimately deliver new medicines for our patients. In this role you will: Own and lead the product roadmap, product development, launch and adoption of novel molecule design solutions to benefit the scientific community at GSK across multiple departments Play a key role in defining the strategic direction for molecule design tools with GenAI capabilities at the core Partner closely with the wider Onyx tech team, as well as R&D scientists and leaders, to deliver industry leading cloud based products and solutions with GenAI and agentic capabilities. Key Responsibilities: Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for molecule design solutions and tools, aligned with the Onyx's overall product vision and objectives. Customer Understanding: Conduct in depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements. Product Planning and Definition: Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals. Agile Product Development: Work closely with portfolio and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management. GenAI Product and Capability Upgrade: Spearhead the development of a new class of AI Agents, powered by LLMs and Generative AI, designed to autonomously execute complex scientific research tasks like hypothesis generation, experimental design, and data interpretation. Design and productize the human agent interaction layer, moving beyond traditional UIs to create conversational and goal driven interfaces that allow scientists to delegate multi step tasks and interpret the outputs of autonomous GenAI systems. Own the product lifecycle for models and agents, leading the strategy for data acquisition, model fine tuning, and the development of APIs/agents that allow them to be leveraged as "tools" by other agents and systems. Model In The Loop Design: Structuring products so that R&D users can easily challenge, verify, and provide feedback to improve the agentic tools and underlying models (human guided iteration). Demonstrate Human + AI collaboration with minimum friction to drive user adoption. Lead highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine tuning foundational models, vector databases, and multi agent system architectures. Cross Functional Collaboration: Collaborate with both tech and RD teams, including DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and RD data leadership teams, to align product strategies, gather input, and drive successful implementation plans. Product Launch and Adoption: Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction. Product Performance and Optimization: Continuously monitor product performance, collect and analyze data, and drive iterative improvements to enhance product usability, performance, and customer experience. Qualifications & Skills: Bachelors degree in Bioinformatics, Computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering, or related discipline. Significant experience in product management with a proven track record of shipping 0 to 1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large scale enterprise setting. Demonstrated experience defining product strategy for modern applications, including hands on experience with technologies core to AI systems such as vector databases, MLOps, retrieval augmented generation, and model fine tuning. Direct product management experience designing and launching AI agents that can utilize tools (APIs, function calling) to perform complex, multi step actions and reason about their environment. Deep technical fluency with cloud native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM based applications. Preferred Qualifications & Skills: Master's degree or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Data Science, Computer Science/Software Engineering, Cloud Computing or related discipline. Hands on software engineering or data science experience in a GenAI focused team prior to transitioning into product management. Familiarity with the architecture of modern transformer based models and the strategic product trade offs between using proprietary models (e.g., GPT 4, Claude), open source models (e.g., Llama, Mistral), and fine tuning custom models. Experience building products that manage or interpret complex, unstructured biomedical data. Extensive knowledge of bioinformatics, computational biology, or cheminformatics, and a strong vision for how agentic AI can revolutionize the drug discovery process. Extensive product experience designing, optimizing, and implementing Model Context Protocols (MCP) for LLM powered agents, including advanced strategies for prompt engineering, context window management, memory architectures (e.g., short term, long term memory), and ensuring model coherence over extended multi turn interactions. Hands on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc. Previous experience in life science industry or biopharma R&D is a plus. Closing Date for Applications: Wednesday 25th March 2026 (COB) Please note: As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and will review all applications, however response times may be longer than usual, and interviews may be scheduled after the New Year. We appreciate your understanding and look forward to connecting soon! Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used to monitor the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients . click apply for full job details
Role summary DBD is a trusted advisor to the nuclear industry and is leading digital transformation within the organisations cleaning up the US legacy sites. We are looking for a Solutions Architect to design and implement innovative technology solutions that streamline and enhance our customers' operations. Within DBD, we expect you to speak on behalf of our clients and to articulate their requirements based on your interactions with them. You will use your in-depth domain knowledge to find the best solutions to meet their needs and kickstart their design and implementation, together with our development teams. What you will be doing Public cloud technologies, design patterns, and best practice (especially Microsoft Azure). Strong verbal and written communication skills, with the ability to work effectively across internal and external organizations. Presenting to our customers' technical governance forums. Effectively communicating the designed solution, highlighting any issues and risks to all parties involved. An understanding of business operations and logistics and the metrics used to determine and measure performance. Relational database design/modelling, technologies, design patterns, tools, and best practice, especially Microsoft SQL. Ensuring each solution complies with our customers' requirements, quality standards, cybersecurity concerns and best practices. Formal qualifications or training Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field. Proven experience as a Solutions Architect or in a similar technical leadership role, ideally within regulated industries or the nuclear sector. Deep expertise in public cloud technologies, design patterns, and best practices, with a strong focus on Microsoft Azure. Make a Difference with DBD At DBD, we know you're looking for more than just a job - you aspire to make a real impact in the nuclear industry. We offer unique opportunities for growth, empowering you to take influential roles within client organisations. Our dedicated team collaborates with clients to positively influence projects across Defence, Decommissioning and New Builds. Having doubled in headcount year-on-year,over the past two years, we continue to welcome new, talented individuals to our team. We're committed to your success. DBD invests in your development and supports your career trajectory in any direction you want to take it. Join us to play a key role in shaping the nuclear sector's future. Make a difference today with DBD. Benefits up to 20% bonus, 25 days holiday, enhanced pension, private health insurance, private dental, and more
Apr 16, 2026
Full time
Role summary DBD is a trusted advisor to the nuclear industry and is leading digital transformation within the organisations cleaning up the US legacy sites. We are looking for a Solutions Architect to design and implement innovative technology solutions that streamline and enhance our customers' operations. Within DBD, we expect you to speak on behalf of our clients and to articulate their requirements based on your interactions with them. You will use your in-depth domain knowledge to find the best solutions to meet their needs and kickstart their design and implementation, together with our development teams. What you will be doing Public cloud technologies, design patterns, and best practice (especially Microsoft Azure). Strong verbal and written communication skills, with the ability to work effectively across internal and external organizations. Presenting to our customers' technical governance forums. Effectively communicating the designed solution, highlighting any issues and risks to all parties involved. An understanding of business operations and logistics and the metrics used to determine and measure performance. Relational database design/modelling, technologies, design patterns, tools, and best practice, especially Microsoft SQL. Ensuring each solution complies with our customers' requirements, quality standards, cybersecurity concerns and best practices. Formal qualifications or training Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field. Proven experience as a Solutions Architect or in a similar technical leadership role, ideally within regulated industries or the nuclear sector. Deep expertise in public cloud technologies, design patterns, and best practices, with a strong focus on Microsoft Azure. Make a Difference with DBD At DBD, we know you're looking for more than just a job - you aspire to make a real impact in the nuclear industry. We offer unique opportunities for growth, empowering you to take influential roles within client organisations. Our dedicated team collaborates with clients to positively influence projects across Defence, Decommissioning and New Builds. Having doubled in headcount year-on-year,over the past two years, we continue to welcome new, talented individuals to our team. We're committed to your success. DBD invests in your development and supports your career trajectory in any direction you want to take it. Join us to play a key role in shaping the nuclear sector's future. Make a difference today with DBD. Benefits up to 20% bonus, 25 days holiday, enhanced pension, private health insurance, private dental, and more
Machine Learning Engineer Department: Project Delivery Employment Type: Permanent - Full Time Location: London Reporting To: Mike Winstanley Description The Machine Learning Engineer role sits within Client Delivery, embedded in the Data & Analytics Consulting (DACs) team - a technical, client facing group of Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI components across Xantura's projects. As an ML Engineer here, your core work is designing, training, evaluating, and productionising machine learning models on complex, multi source datasets from local authorities. You will engineer high performance training pipelines, build embedding based and sequence models, implement LLM and RAG workflows, and develop containerised model services that integrate directly into the OneView platform. This includes hands on work with model architectures, feature engineering, model optimisation, performance debugging, schema aligned data preparation, and ML driven interfaces. This role is for engineers who want to build real models, ship real systems, and solve real operational ML problems - not just prototypes. You will work directly with production data, client technical teams, and our internal engineering ecosystem to deliver AI components that are robust, scalable, and deployed into live environments. Key Responsibilities Machine learning engineering Design, train and optimise predictive models using advanced architectures such as gradient boosted trees, temporal models and embedding based models. Build robust training, evaluation and monitoring pipelines to ensure model quality, reproducibility and auditability. Implement feature engineering, hyperparameter tuning, model debugging and performance optimisation. Productionise models so they run reliably and efficiently at scale in client environments. Data engineering Own schema aware data flows for modelling and cohorts; validate, transform and version datasets used in training and inference. Manage and evolve database schemas; optimise SQL, indexing and partitioning for large training and scoring workloads. Technical delivery Lead the modelling and data engineering components of client projects alongside DACs and Business Consultants. Acquire and extract data from client source systems. Build and validate cohort logic to ensure accuracy, interpretability and alignment with client needs. Troubleshoot and resolve complex modelling and pipeline issues throughout delivery. AI engineering Build and integrate LLM based components including embedding pipelines, RAG workflows and text analysis models. Develop and deploy agentic and multicomponent AI systems using modern ML frameworks. Engineer high performance NLP and sequence models for information extraction, classification and risk prediction. Engineering level platform configuration Configure advanced OneView components linked to modelling outputs such as risk logic, summaries and scoring pathways. Contribute modelling innovations, performance insights and engineering improvements back into the platform. Knowledge sharing and technical leadership Act as an SME for machine learning, AI and model engineering within DACs. Mentor DACs on Python, modelling best practice, data engineering fundamentals and debugging approaches. Produce documentation, templates and reusable components to raise engineering standards across delivery. What are we looking for? We'd love to hear from you if you have: 3-5+ years' experience in machine learning engineering, taking models from development into production. Strong Python engineering skills and experience with modern ML frameworks. Practical experience training and evaluating models (tree based, temporal, embedding/NLP or LLM based). Ability to build reproducible training and evaluation pipelines. Experience containerising and deploying models (e.g., Docker, FastAPI). Solid data & database engineering Strong SQL and experience working with relational databases. Understanding of schemas, data transformations and (ideally) DBT. Experience preparing data for model training and scoring. Hands on AI/LLM experience Working with embeddings, vector databases or RAG style workflows. Experience applying NLP or sequence models to real world datasets. Experience delivering technical work to clients or stakeholders Comfortable defining data requirements, discussing modelling decisions and troubleshooting issues in real time. Clear communication and collaborative mindset Able to explain technical concepts simply and work closely with data scientists, engineers and consultants. Bonus points if you have Experience with Azure ML, AKS or similar cloud environments. Experience with public sector datasets or analytical workflows. Location This is a hybrid role based in our office in London (Borough). You would be expected to be able to work from the office at least 1 2 days per week. Some travel is also required for on site client engagements as needed. What can we offer you? Competitive salary reviewed annually. Work for a passionate, mission driven company solving society's big problems. Work flexible hours around life commitments with a focus on delivering company value rather than hours worked. Ability to work remotely (excluding face to face Team Meetings and client meetings). Training and development opportunities. 25 days annual leave (plus bank holidays). Company pension. Private medical insurance. Generous enhanced parental leave policies. Cycle to work scheme. Flu vaccinations. Eye test and contribution towards glasses for VDU use. Employee Assistance Programme Mental health and wellbeing support. Remote GP access. Counselling/therapy. Physiotherapy. Medical second opinions.
Apr 16, 2026
Full time
Machine Learning Engineer Department: Project Delivery Employment Type: Permanent - Full Time Location: London Reporting To: Mike Winstanley Description The Machine Learning Engineer role sits within Client Delivery, embedded in the Data & Analytics Consulting (DACs) team - a technical, client facing group of Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI components across Xantura's projects. As an ML Engineer here, your core work is designing, training, evaluating, and productionising machine learning models on complex, multi source datasets from local authorities. You will engineer high performance training pipelines, build embedding based and sequence models, implement LLM and RAG workflows, and develop containerised model services that integrate directly into the OneView platform. This includes hands on work with model architectures, feature engineering, model optimisation, performance debugging, schema aligned data preparation, and ML driven interfaces. This role is for engineers who want to build real models, ship real systems, and solve real operational ML problems - not just prototypes. You will work directly with production data, client technical teams, and our internal engineering ecosystem to deliver AI components that are robust, scalable, and deployed into live environments. Key Responsibilities Machine learning engineering Design, train and optimise predictive models using advanced architectures such as gradient boosted trees, temporal models and embedding based models. Build robust training, evaluation and monitoring pipelines to ensure model quality, reproducibility and auditability. Implement feature engineering, hyperparameter tuning, model debugging and performance optimisation. Productionise models so they run reliably and efficiently at scale in client environments. Data engineering Own schema aware data flows for modelling and cohorts; validate, transform and version datasets used in training and inference. Manage and evolve database schemas; optimise SQL, indexing and partitioning for large training and scoring workloads. Technical delivery Lead the modelling and data engineering components of client projects alongside DACs and Business Consultants. Acquire and extract data from client source systems. Build and validate cohort logic to ensure accuracy, interpretability and alignment with client needs. Troubleshoot and resolve complex modelling and pipeline issues throughout delivery. AI engineering Build and integrate LLM based components including embedding pipelines, RAG workflows and text analysis models. Develop and deploy agentic and multicomponent AI systems using modern ML frameworks. Engineer high performance NLP and sequence models for information extraction, classification and risk prediction. Engineering level platform configuration Configure advanced OneView components linked to modelling outputs such as risk logic, summaries and scoring pathways. Contribute modelling innovations, performance insights and engineering improvements back into the platform. Knowledge sharing and technical leadership Act as an SME for machine learning, AI and model engineering within DACs. Mentor DACs on Python, modelling best practice, data engineering fundamentals and debugging approaches. Produce documentation, templates and reusable components to raise engineering standards across delivery. What are we looking for? We'd love to hear from you if you have: 3-5+ years' experience in machine learning engineering, taking models from development into production. Strong Python engineering skills and experience with modern ML frameworks. Practical experience training and evaluating models (tree based, temporal, embedding/NLP or LLM based). Ability to build reproducible training and evaluation pipelines. Experience containerising and deploying models (e.g., Docker, FastAPI). Solid data & database engineering Strong SQL and experience working with relational databases. Understanding of schemas, data transformations and (ideally) DBT. Experience preparing data for model training and scoring. Hands on AI/LLM experience Working with embeddings, vector databases or RAG style workflows. Experience applying NLP or sequence models to real world datasets. Experience delivering technical work to clients or stakeholders Comfortable defining data requirements, discussing modelling decisions and troubleshooting issues in real time. Clear communication and collaborative mindset Able to explain technical concepts simply and work closely with data scientists, engineers and consultants. Bonus points if you have Experience with Azure ML, AKS or similar cloud environments. Experience with public sector datasets or analytical workflows. Location This is a hybrid role based in our office in London (Borough). You would be expected to be able to work from the office at least 1 2 days per week. Some travel is also required for on site client engagements as needed. What can we offer you? Competitive salary reviewed annually. Work for a passionate, mission driven company solving society's big problems. Work flexible hours around life commitments with a focus on delivering company value rather than hours worked. Ability to work remotely (excluding face to face Team Meetings and client meetings). Training and development opportunities. 25 days annual leave (plus bank holidays). Company pension. Private medical insurance. Generous enhanced parental leave policies. Cycle to work scheme. Flu vaccinations. Eye test and contribution towards glasses for VDU use. Employee Assistance Programme Mental health and wellbeing support. Remote GP access. Counselling/therapy. Physiotherapy. Medical second opinions.
Machine Learning Engineer (CS) Department: Customer Success Employment Type: Permanent - Full Time Location: London Reporting To: Mark Dale Description The Machine Learning Engineer role sits within Customer Success; is embedded within the Technical Operations team - a technical group of Data Engineers and ML Engineers responsible for optimising and maintaining advanced machine learning and AI components across Xantura's projects. As an ML Engineer here, your core work is monitoring, training, evaluating, and productionising machine learning models on complex, multi source datasets from local authorities. You will engineer high performance training pipelines, build embedding based and sequence models, implement LLM and RAG workflows, and develop containerised model services that integrate directly into the OneView platform. This includes hands on work with model architectures, feature engineering, model optimisation, performance debugging, schema aligned data preparation, and ML driven interfaces. This is a role for engineers who want to build and maintain real models, ship real systems, and solve real operational ML problems - not just prototypes. You will work directly with production data, client technical teams, and our internal engineering ecosystem to deliver AI components that are robust, scalable, and deployed into live environments. Key Responsibilities Machine learning engineering Design, train and optimise predictive models using advanced architectures such as gradient boosted trees, temporal models and embedding based models. Build robust training, evaluation and monitoring pipelines to ensure model quality, reproducibility and auditability. Implement feature engineering, hyperparameter tuning, model debugging and performance optimisation. Productionise models so they run reliably and efficiently at scale in client environments. Data engineering Own schema aware data flows for modelling and cohorts; validate, transform and version datasets used in training and inference. Manage and evolve database schemas; optimise SQL, indexing and partitioning for large training and scoring workloads. Technical delivery Lead the modelling and data engineering components of client projects alongside Data Engineers. Build and validate cohort logic to ensure accuracy, interpretability and alignment with client needs. Troubleshoot and resolve complex modelling and pipeline issues in BAU. AI engineering Optimise and integrate LLM based components including embedding pipelines, RAG workflows and text analysis models. Develop and deploy agentic and multi component AI systems using modern ML frameworks. Engineer high performance NLP and sequence models for information extraction, classification and risk prediction. Engineering level platform configuration Configure advanced OneView components linked to modelling outputs such as risk logic, summaries and scoring pathways. Contribute modelling innovations, performance insights and engineering improvements back into the platform. Knowledge sharing and technical leadership Act as an SME for machine learning, AI and model engineering within the Technical Operations team. Mentor Data Engineers on Python, modelling best practice, data engineering fundamentals and debugging approaches. Produce documentation, templates and reusable components to raise engineering standards across delivery. What are we looking for? We'd love to hear from you if you have: 3-5+ years' experience in machine learning engineering, taking models from development into production Strong Python engineering skills and experience with modern ML frameworks. Practical experience training and evaluating models (tree based, temporal, embedding/NLP or LLM based). Ability to build reproducible training and evaluation pipelines. Experience containerising and deploying models (e.g., Docker, FastAPI). Solid data and database engineering Strong SQL and experience working with relational databases. Understanding of schemas, data transformations and (ideally) dbt. Experience preparing data for model training and scoring. Hands on AI/LLM experience Working with embeddings, vector databases or RAG style workflows. Experience applying NLP or sequence models to real world datasets. Experience delivering technical work to clients or stakeholders Comfortable defining data requirements, discussing modelling decisions and troubleshooting issues in real time. Clear communication and collaborative mindset Able to explain technical concepts simply and work closely with data, engineers and customer success. Bonus points if you have: Experience with Azure ML, AKS or similar cloud environments. Experience with public sector datasets or analytical workflows. Location - This is a hybrid role based in our office in London (Borough). You would be expected to be able to work from the office at least 1 2 days per week. Some travel is also required for on site client engagements as needed. What can we offer you? Competitive salary reviewed annually Work for a passionate, mission driven company solving society's big problems Work flexible hours around life commitments with a focus on delivering company value rather than hours worked Ability to work remotely (excluding face to face Team Meetings and client meetings) Training and development opportunities 25 days annual leave (plus bank holidays) Company pension Private medical insurance Generous enhanced parental leave policies Cycle to work scheme Flu Vaccinations, Eye Test and contribution towards Glasses for VDU use Employee Assistance Programme Mental health and wellbeing support Remote GP access Counselling/therapy Physiotherapy Medical second opinions
Apr 16, 2026
Full time
Machine Learning Engineer (CS) Department: Customer Success Employment Type: Permanent - Full Time Location: London Reporting To: Mark Dale Description The Machine Learning Engineer role sits within Customer Success; is embedded within the Technical Operations team - a technical group of Data Engineers and ML Engineers responsible for optimising and maintaining advanced machine learning and AI components across Xantura's projects. As an ML Engineer here, your core work is monitoring, training, evaluating, and productionising machine learning models on complex, multi source datasets from local authorities. You will engineer high performance training pipelines, build embedding based and sequence models, implement LLM and RAG workflows, and develop containerised model services that integrate directly into the OneView platform. This includes hands on work with model architectures, feature engineering, model optimisation, performance debugging, schema aligned data preparation, and ML driven interfaces. This is a role for engineers who want to build and maintain real models, ship real systems, and solve real operational ML problems - not just prototypes. You will work directly with production data, client technical teams, and our internal engineering ecosystem to deliver AI components that are robust, scalable, and deployed into live environments. Key Responsibilities Machine learning engineering Design, train and optimise predictive models using advanced architectures such as gradient boosted trees, temporal models and embedding based models. Build robust training, evaluation and monitoring pipelines to ensure model quality, reproducibility and auditability. Implement feature engineering, hyperparameter tuning, model debugging and performance optimisation. Productionise models so they run reliably and efficiently at scale in client environments. Data engineering Own schema aware data flows for modelling and cohorts; validate, transform and version datasets used in training and inference. Manage and evolve database schemas; optimise SQL, indexing and partitioning for large training and scoring workloads. Technical delivery Lead the modelling and data engineering components of client projects alongside Data Engineers. Build and validate cohort logic to ensure accuracy, interpretability and alignment with client needs. Troubleshoot and resolve complex modelling and pipeline issues in BAU. AI engineering Optimise and integrate LLM based components including embedding pipelines, RAG workflows and text analysis models. Develop and deploy agentic and multi component AI systems using modern ML frameworks. Engineer high performance NLP and sequence models for information extraction, classification and risk prediction. Engineering level platform configuration Configure advanced OneView components linked to modelling outputs such as risk logic, summaries and scoring pathways. Contribute modelling innovations, performance insights and engineering improvements back into the platform. Knowledge sharing and technical leadership Act as an SME for machine learning, AI and model engineering within the Technical Operations team. Mentor Data Engineers on Python, modelling best practice, data engineering fundamentals and debugging approaches. Produce documentation, templates and reusable components to raise engineering standards across delivery. What are we looking for? We'd love to hear from you if you have: 3-5+ years' experience in machine learning engineering, taking models from development into production Strong Python engineering skills and experience with modern ML frameworks. Practical experience training and evaluating models (tree based, temporal, embedding/NLP or LLM based). Ability to build reproducible training and evaluation pipelines. Experience containerising and deploying models (e.g., Docker, FastAPI). Solid data and database engineering Strong SQL and experience working with relational databases. Understanding of schemas, data transformations and (ideally) dbt. Experience preparing data for model training and scoring. Hands on AI/LLM experience Working with embeddings, vector databases or RAG style workflows. Experience applying NLP or sequence models to real world datasets. Experience delivering technical work to clients or stakeholders Comfortable defining data requirements, discussing modelling decisions and troubleshooting issues in real time. Clear communication and collaborative mindset Able to explain technical concepts simply and work closely with data, engineers and customer success. Bonus points if you have: Experience with Azure ML, AKS or similar cloud environments. Experience with public sector datasets or analytical workflows. Location - This is a hybrid role based in our office in London (Borough). You would be expected to be able to work from the office at least 1 2 days per week. Some travel is also required for on site client engagements as needed. What can we offer you? Competitive salary reviewed annually Work for a passionate, mission driven company solving society's big problems Work flexible hours around life commitments with a focus on delivering company value rather than hours worked Ability to work remotely (excluding face to face Team Meetings and client meetings) Training and development opportunities 25 days annual leave (plus bank holidays) Company pension Private medical insurance Generous enhanced parental leave policies Cycle to work scheme Flu Vaccinations, Eye Test and contribution towards Glasses for VDU use Employee Assistance Programme Mental health and wellbeing support Remote GP access Counselling/therapy Physiotherapy Medical second opinions
Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity: Help Us Build the Future of Data We believe that when data is accessible, everyone wins. We're looking for a versatile Senior Software Engineer to join our Foundations Team. You'll be the bridge between complex infrastructure and the people who need it. This isn't just about moving data from point A to point B; it's about building the technical "nervous system" of our company-creating the APIs, tools, and security protocols that allow our entire team to innovate without friction. As a member of the Foundations team, you will work closely with Infrastructure, DevEx, and Security engineers. Your goal is to ensure the data platform integrates seamlessly with our other internal tools and becomes a core pillar of our Internal Developer Platform (IDP). Who You'll Empower Our Tech Teams: You'll build the secure APIs and Model Context Protocols (MCPs) that help them stay productive. Data & AI Pioneers: You'll create the stable environments they need to deploy the next generation of AI models. Business Leaders: You'll provide the high-quality dashboards that turn raw numbers into clear strategy. What You'll Do Architect for Growth: Define and refactor data models to ensure they stay fast and clear as we scale. Create a Universal Data Layer: Build GraphQL APIs and connectors so anyone can access data safely, even without deep infra knowledge. Enable GenAI: Get hands-on with the latest tech, building infrastructure for Vector Databases and AI-driven automation. Automate Safety: Implement "Privacy by Design" by automating security checks, so our speed never comes at the cost of safety. About You We care more about your talent and trajectory than a perfect checklist. If you're a curious engineer who loves building reliable, user-friendly systems, we want to hear from you! Engineering Excellence: You have significant experience in commercial software (we use Python, TypeScript, and Go) and a passion for modular, readable code. Systems Thinker: You understand how to treat "data as software" and are comfortable with cloud-native tools (AWS/Azure, Kubernetes). The "Human" Element: You can explain a complex architectural choice to a product manager just as easily as you can to a fellow engineer. Bonus Points: If you've dabbled in GenAI, event-driven architectures, or platform engineering, tell us about it! Benefits Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year Health & Wellness - private medical insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that's always stocked! Our Commitment to Diversity, Equity and Inclusion We're an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here. Our Commitment to Safeguarding Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children's Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.
Apr 15, 2026
Full time
Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity: Help Us Build the Future of Data We believe that when data is accessible, everyone wins. We're looking for a versatile Senior Software Engineer to join our Foundations Team. You'll be the bridge between complex infrastructure and the people who need it. This isn't just about moving data from point A to point B; it's about building the technical "nervous system" of our company-creating the APIs, tools, and security protocols that allow our entire team to innovate without friction. As a member of the Foundations team, you will work closely with Infrastructure, DevEx, and Security engineers. Your goal is to ensure the data platform integrates seamlessly with our other internal tools and becomes a core pillar of our Internal Developer Platform (IDP). Who You'll Empower Our Tech Teams: You'll build the secure APIs and Model Context Protocols (MCPs) that help them stay productive. Data & AI Pioneers: You'll create the stable environments they need to deploy the next generation of AI models. Business Leaders: You'll provide the high-quality dashboards that turn raw numbers into clear strategy. What You'll Do Architect for Growth: Define and refactor data models to ensure they stay fast and clear as we scale. Create a Universal Data Layer: Build GraphQL APIs and connectors so anyone can access data safely, even without deep infra knowledge. Enable GenAI: Get hands-on with the latest tech, building infrastructure for Vector Databases and AI-driven automation. Automate Safety: Implement "Privacy by Design" by automating security checks, so our speed never comes at the cost of safety. About You We care more about your talent and trajectory than a perfect checklist. If you're a curious engineer who loves building reliable, user-friendly systems, we want to hear from you! Engineering Excellence: You have significant experience in commercial software (we use Python, TypeScript, and Go) and a passion for modular, readable code. Systems Thinker: You understand how to treat "data as software" and are comfortable with cloud-native tools (AWS/Azure, Kubernetes). The "Human" Element: You can explain a complex architectural choice to a product manager just as easily as you can to a fellow engineer. Bonus Points: If you've dabbled in GenAI, event-driven architectures, or platform engineering, tell us about it! Benefits Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year Health & Wellness - private medical insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that's always stocked! Our Commitment to Diversity, Equity and Inclusion We're an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here. Our Commitment to Safeguarding Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children's Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.
Overview One of the most exciting prospects in the UK cyber security sector today, Bridewell is a leading cyber security services company specialising in protecting and transforming critical business functions for some of the world's most trusted organisations. We are the trusted partner for operators of essential services and provide end-to-end cyber security capabilities that help our clients overcome their security challenges, allowing them to operate safely and securely. Bridewell holds the Gold level Investors in People award which we feel solidifies and reflects on the outstanding calibre that makes us truly one team. What you'll be doing The Cloud Engineer is a senior technical role responsible for supporting, maintaining, and evolving Bridewell's Microsoft Azure environment and wider cloud-based services. Acting as a 3rd Line escalation point, you will lead on complex troubleshooting, automation, infrastructure-as-code implementation, and secure cloud operations. You will contribute to strengthening Bridewell's modern infrastructure platforms through innovation, automation, resilience and scalable design. This role includes participation in an on-call rota to support business-critical systems and ensure continuity of service. These are some of the key areas where your role will deliver impact and where most of your role-specific goals and objectives will be based. Responsibilities Azure Infrastructure Management Operate as the senior technical SME for Azure infrastructure, identity, networking, monitoring and governance. Implement improvements using Infrastructure as Code (Terraform or Bicep). Maintain secure configurations in line with best practice (CIS, Microsoft CAF, Zero Trust). Azure Secure Score achieved 90% 95-99.9% uptime across business-critical services, excluding planned maintenance. 3rd Line Escalation, Troubleshooting & Mentoring Resolve complex incidents across Azure, M365, Intune, identity, networking and related on-prem hybrid systems. Act as final escalation point for infrastructure issues. Mentor and upskill team. Automation & DevOps Enablement Build CI/CD pipelines (GitHub Actions or Azure DevOps). Use automation to reduce manual tasks across the IT landscape. Collaborate with Cyber and Engineering teams on secure cloud deployments. AI & Intelligent Automation (Desirable) Support the evaluation and adoption of AI driven capabilities across Azure and M365, including Defender AI features, Copilot integrations and automation opportunities. On Call Responsibility Participate in the IT on call rota to ensure 24/7 availability of key business systems. On-call response time within agreed RTO targets 100% of the time. All on-call incidents documented with follow-up actions within 24 hours. What are we looking for? Essential Proven experience as a 3rd Line IT/Cloud Engineer supporting Azure production environments. Strong hands-on experience with: Azure IaaS & PaaS services ARM/Bicep/Terraform IaC Azure networking (VNets, Firewalls, Private Endpoints, VPN/ExpressRoute) Azure AD/Entra ID, Conditional Access, Identity Governance Azure Monitor, Log Analytics, Sentinel (beneficial) Azure Storage, Key Vault, App Services, Function Apps Strong PowerShell scripting capabilities. Experience supporting modern workplace environments with Intune, Autopilot and Microsoft 365. Strong understanding of Zero Trust, security posture management and cloud governance. Ability to work autonomously and handle complex workloads. Data literacy - Interpreting and communicating system, performance and telemetry data to derive insights, support decision making, and demonstrate ITs contribution to the business. Digital agility - Leveraging Azure, automation tooling, and AI-enabled capabilities to modernise infrastructure, streamline processes, and enhance organisational efficiency. This includes using PowerShell, Terraform/Bicep, GitHub Actions/ADO pipelines, Defender for Cloud, and Power Automate to maximise impact. Desirable Certifications AZ 104 - Azure Administrator Associate AZ 305 - Designing Microsoft Azure Infrastructure Solutions AZ 400 - DevOps Engineer Expert AZ 500 - Azure Security Engineer Associate Experience with: GitHub or Azure DevOps repos and pipelines AI/ML tooling or Copilot integrations What's in it for you? Our vision is to create a safe, inclusive digital world where people and organisations can thrive. Our values of Do the Right Thing, One Team and Above and Beyond emphasise the importance of the part we play in society, and our commitment to our people and clients. Our story to-date has been phenomenal, but success doesn't end here and as we continue to grow and scale, we want to keep the same culture, passion and commitment to high quality that has enabled us to get this far. Bridewell will provide a great career opportunity with continual development as well as the following: 25 Days Holiday - Plus buy and sell options Flexible Working (around core office hours) Employee Benefit Trust Company Pension Personal Day & Birthday Off - After 1 year of service Family Leave - After 1 year of service Enhanced Maternity based on length of service Dedicated Training Budget Life Assurance Electric Vehicle Scheme & Cycle to Work Scheme Private Healthcare (incl. Gym discounts and vision care) Location: Bridewell operates a hybrid and flexible working policy, however you will be required to travel to different sites on occasion. Note: To be eligible for this job you must either hold SC or be eligible and willing to go through security clearance. Bridewell values diversity in the workplace and is a fair and equal opportunity employer. We are committed to creating an equal and inclusive working environment, with the aim that our employees will be truly representative of all sections of society and each person feels respected and able to give their best.
Apr 15, 2026
Full time
Overview One of the most exciting prospects in the UK cyber security sector today, Bridewell is a leading cyber security services company specialising in protecting and transforming critical business functions for some of the world's most trusted organisations. We are the trusted partner for operators of essential services and provide end-to-end cyber security capabilities that help our clients overcome their security challenges, allowing them to operate safely and securely. Bridewell holds the Gold level Investors in People award which we feel solidifies and reflects on the outstanding calibre that makes us truly one team. What you'll be doing The Cloud Engineer is a senior technical role responsible for supporting, maintaining, and evolving Bridewell's Microsoft Azure environment and wider cloud-based services. Acting as a 3rd Line escalation point, you will lead on complex troubleshooting, automation, infrastructure-as-code implementation, and secure cloud operations. You will contribute to strengthening Bridewell's modern infrastructure platforms through innovation, automation, resilience and scalable design. This role includes participation in an on-call rota to support business-critical systems and ensure continuity of service. These are some of the key areas where your role will deliver impact and where most of your role-specific goals and objectives will be based. Responsibilities Azure Infrastructure Management Operate as the senior technical SME for Azure infrastructure, identity, networking, monitoring and governance. Implement improvements using Infrastructure as Code (Terraform or Bicep). Maintain secure configurations in line with best practice (CIS, Microsoft CAF, Zero Trust). Azure Secure Score achieved 90% 95-99.9% uptime across business-critical services, excluding planned maintenance. 3rd Line Escalation, Troubleshooting & Mentoring Resolve complex incidents across Azure, M365, Intune, identity, networking and related on-prem hybrid systems. Act as final escalation point for infrastructure issues. Mentor and upskill team. Automation & DevOps Enablement Build CI/CD pipelines (GitHub Actions or Azure DevOps). Use automation to reduce manual tasks across the IT landscape. Collaborate with Cyber and Engineering teams on secure cloud deployments. AI & Intelligent Automation (Desirable) Support the evaluation and adoption of AI driven capabilities across Azure and M365, including Defender AI features, Copilot integrations and automation opportunities. On Call Responsibility Participate in the IT on call rota to ensure 24/7 availability of key business systems. On-call response time within agreed RTO targets 100% of the time. All on-call incidents documented with follow-up actions within 24 hours. What are we looking for? Essential Proven experience as a 3rd Line IT/Cloud Engineer supporting Azure production environments. Strong hands-on experience with: Azure IaaS & PaaS services ARM/Bicep/Terraform IaC Azure networking (VNets, Firewalls, Private Endpoints, VPN/ExpressRoute) Azure AD/Entra ID, Conditional Access, Identity Governance Azure Monitor, Log Analytics, Sentinel (beneficial) Azure Storage, Key Vault, App Services, Function Apps Strong PowerShell scripting capabilities. Experience supporting modern workplace environments with Intune, Autopilot and Microsoft 365. Strong understanding of Zero Trust, security posture management and cloud governance. Ability to work autonomously and handle complex workloads. Data literacy - Interpreting and communicating system, performance and telemetry data to derive insights, support decision making, and demonstrate ITs contribution to the business. Digital agility - Leveraging Azure, automation tooling, and AI-enabled capabilities to modernise infrastructure, streamline processes, and enhance organisational efficiency. This includes using PowerShell, Terraform/Bicep, GitHub Actions/ADO pipelines, Defender for Cloud, and Power Automate to maximise impact. Desirable Certifications AZ 104 - Azure Administrator Associate AZ 305 - Designing Microsoft Azure Infrastructure Solutions AZ 400 - DevOps Engineer Expert AZ 500 - Azure Security Engineer Associate Experience with: GitHub or Azure DevOps repos and pipelines AI/ML tooling or Copilot integrations What's in it for you? Our vision is to create a safe, inclusive digital world where people and organisations can thrive. Our values of Do the Right Thing, One Team and Above and Beyond emphasise the importance of the part we play in society, and our commitment to our people and clients. Our story to-date has been phenomenal, but success doesn't end here and as we continue to grow and scale, we want to keep the same culture, passion and commitment to high quality that has enabled us to get this far. Bridewell will provide a great career opportunity with continual development as well as the following: 25 Days Holiday - Plus buy and sell options Flexible Working (around core office hours) Employee Benefit Trust Company Pension Personal Day & Birthday Off - After 1 year of service Family Leave - After 1 year of service Enhanced Maternity based on length of service Dedicated Training Budget Life Assurance Electric Vehicle Scheme & Cycle to Work Scheme Private Healthcare (incl. Gym discounts and vision care) Location: Bridewell operates a hybrid and flexible working policy, however you will be required to travel to different sites on occasion. Note: To be eligible for this job you must either hold SC or be eligible and willing to go through security clearance. Bridewell values diversity in the workplace and is a fair and equal opportunity employer. We are committed to creating an equal and inclusive working environment, with the aim that our employees will be truly representative of all sections of society and each person feels respected and able to give their best.
A leading cybersecurity services company in Cardiff is seeking a Senior Cloud Engineer to manage and evolve their Azure infrastructure. Responsibilities include troubleshooting complex incidents, leading automation initiatives, and mentoring junior staff. Candidates should have strong experience with Azure services and PowerShell scripting. The position offers a flexible working environment with excellent benefits including a dedicated training budget and 25 days annual leave.
Apr 15, 2026
Full time
A leading cybersecurity services company in Cardiff is seeking a Senior Cloud Engineer to manage and evolve their Azure infrastructure. Responsibilities include troubleshooting complex incidents, leading automation initiatives, and mentoring junior staff. Candidates should have strong experience with Azure services and PowerShell scripting. The position offers a flexible working environment with excellent benefits including a dedicated training budget and 25 days annual leave.
Insight Investment is looking for Security Architect to join the Data Platform team in Manchester. The role will focus on designing, implementing, and continuously enhancing the security of our Snowflake-based data platform hosted on Microsoft Azure. This role has been created to strengthen security-by-design principles throughout the platform's development and delivery processes. Working collaboratively within the team, you will partner closely with engineers and fellow architects to proactively identify cyber threats, devise proportionate security controls, and see these measures through to practical implementation. Your efforts will be instrumental in ensuring our platform remains secure and compliant, while supporting efficient and frictionless delivery. This is a hands-on, delivery-oriented position, embedded within the wider Data Platform team. You will play a key part in shaping our secure system development practices, championing robust governance and regulatory compliance, and enabling trusted access to data for users across the organisation. Role Responsibilities Design and implement security architecture for the Snowflake data platform on Microsoft Azure, encompassing data, identity, network, and platform controls, while embedding security into Snowflake workspaces and GitHub-backed repositories (secure branching, code reviews, pipelines, secrets management, and deployment patterns) Secure integrations with Sigma, Collibra, on-premises systems, other clouds/SaaS, and third-party vendors by ensuring connectivity, authentication, data exchange, and auditability Lead threat modelling and hands-on security assessments for systems, data flows, integrations, and vendors; translate findings into actionable controls, prioritise remediation, and track closure Implement and refine controls across IAM (Entra ID/Azure AD, Snowflake roles/RBAC), networking (private endpoints, firewall rules), encryption and key management (customer-managed keys, Key Vault), secrets management, monitoring, and logging, ensuring operability and observability (logs, alerts, dashboards), incident response, and post-incident learning Define and embed reusable, automatable security patterns, guardrails, and reference architectures in CI/CD; enforce secure data lifecycle controls (ingestion, storage, processing, sharing, retention/deletion), including classification, masking, and least-privilege access Work closely with the platform team and Internal Security to align on standards and enable secure delivery, contribute to Architecture Review Boards and technical risk management, and ensure compliance with legal, regulatory, industry, and enterprise standards, focusing on real risk reduction. Elevate the platform team's security maturity and mindset in the process Experience Required Snowflake on Azure security: role/warehouse design, RBAC, masking/row level controls, network policies, private connectivity, secure data sharing patterns Azure security: identity (Entra ID), network isolation (VNets, Private Link), Key Vault / customer managed keys, policy/blueprints, logging/monitoring GitHub security & DevSecOps: protected branches, code owners, signed commits, secrets management, GitHub Actions hardening, SAST/secret scanning, supply chain hygiene Infrastructure as Code (e.g., Terraform) and pipeline embedded controls (policy as code, automated checks, drift detection) Threat modelling & risk assessment skills; ability to turn threats into concrete, testable mitigations and track them to done Zero Trust and principal of least privilege mindset; strong grasp of enforcing role entitlement over data security (classification, tokenisation/masking, lineage, audit) Security observability: designing for logs, metrics and alerts that support detection, response and auditability Working familiarity with industry frameworks (e.g., NIST CSF, CSA Cloud Controls) to communicate design rationale in governance forums Clear, pragmatic communication to brief engineers, product, architects and ARB succinctly; documents decisions and residual risk Behaviours: collaborative, embedded, outcome focused, balances speed and safety, takes ownership, learns from incidents, influences through expertise, consultative stakeholder style, curiosity, continuous improvement mindset, transparent about trade offs and residual risk Insight is committed to being an inclusive employer and encourages applications from all suitably qualified applicants irrespective of background, circumstances, age, disability, gender identity, ethnicity, religion or belief and sexual orientation. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at About Insight Investment Insight Investment is a leading asset manager focused on designing investment solutions to meet its clients' needs. Founded in 2002, Insight's collaborative approach has delivered both investment performance and growth in assets under management. Insight manages assets across its core liability-driven investment, risk management, full-spectrum fixed income, currency and absolute return capabilities. Insight has a global network of operations in the UK, Ireland, Germany, US, Japan and Australia. More information about Insight Investment can be found at:
Apr 15, 2026
Full time
Insight Investment is looking for Security Architect to join the Data Platform team in Manchester. The role will focus on designing, implementing, and continuously enhancing the security of our Snowflake-based data platform hosted on Microsoft Azure. This role has been created to strengthen security-by-design principles throughout the platform's development and delivery processes. Working collaboratively within the team, you will partner closely with engineers and fellow architects to proactively identify cyber threats, devise proportionate security controls, and see these measures through to practical implementation. Your efforts will be instrumental in ensuring our platform remains secure and compliant, while supporting efficient and frictionless delivery. This is a hands-on, delivery-oriented position, embedded within the wider Data Platform team. You will play a key part in shaping our secure system development practices, championing robust governance and regulatory compliance, and enabling trusted access to data for users across the organisation. Role Responsibilities Design and implement security architecture for the Snowflake data platform on Microsoft Azure, encompassing data, identity, network, and platform controls, while embedding security into Snowflake workspaces and GitHub-backed repositories (secure branching, code reviews, pipelines, secrets management, and deployment patterns) Secure integrations with Sigma, Collibra, on-premises systems, other clouds/SaaS, and third-party vendors by ensuring connectivity, authentication, data exchange, and auditability Lead threat modelling and hands-on security assessments for systems, data flows, integrations, and vendors; translate findings into actionable controls, prioritise remediation, and track closure Implement and refine controls across IAM (Entra ID/Azure AD, Snowflake roles/RBAC), networking (private endpoints, firewall rules), encryption and key management (customer-managed keys, Key Vault), secrets management, monitoring, and logging, ensuring operability and observability (logs, alerts, dashboards), incident response, and post-incident learning Define and embed reusable, automatable security patterns, guardrails, and reference architectures in CI/CD; enforce secure data lifecycle controls (ingestion, storage, processing, sharing, retention/deletion), including classification, masking, and least-privilege access Work closely with the platform team and Internal Security to align on standards and enable secure delivery, contribute to Architecture Review Boards and technical risk management, and ensure compliance with legal, regulatory, industry, and enterprise standards, focusing on real risk reduction. Elevate the platform team's security maturity and mindset in the process Experience Required Snowflake on Azure security: role/warehouse design, RBAC, masking/row level controls, network policies, private connectivity, secure data sharing patterns Azure security: identity (Entra ID), network isolation (VNets, Private Link), Key Vault / customer managed keys, policy/blueprints, logging/monitoring GitHub security & DevSecOps: protected branches, code owners, signed commits, secrets management, GitHub Actions hardening, SAST/secret scanning, supply chain hygiene Infrastructure as Code (e.g., Terraform) and pipeline embedded controls (policy as code, automated checks, drift detection) Threat modelling & risk assessment skills; ability to turn threats into concrete, testable mitigations and track them to done Zero Trust and principal of least privilege mindset; strong grasp of enforcing role entitlement over data security (classification, tokenisation/masking, lineage, audit) Security observability: designing for logs, metrics and alerts that support detection, response and auditability Working familiarity with industry frameworks (e.g., NIST CSF, CSA Cloud Controls) to communicate design rationale in governance forums Clear, pragmatic communication to brief engineers, product, architects and ARB succinctly; documents decisions and residual risk Behaviours: collaborative, embedded, outcome focused, balances speed and safety, takes ownership, learns from incidents, influences through expertise, consultative stakeholder style, curiosity, continuous improvement mindset, transparent about trade offs and residual risk Insight is committed to being an inclusive employer and encourages applications from all suitably qualified applicants irrespective of background, circumstances, age, disability, gender identity, ethnicity, religion or belief and sexual orientation. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at About Insight Investment Insight Investment is a leading asset manager focused on designing investment solutions to meet its clients' needs. Founded in 2002, Insight's collaborative approach has delivered both investment performance and growth in assets under management. Insight manages assets across its core liability-driven investment, risk management, full-spectrum fixed income, currency and absolute return capabilities. Insight has a global network of operations in the UK, Ireland, Germany, US, Japan and Australia. More information about Insight Investment can be found at:
Join a high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI / ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI powered products and services and increasing opportunity for re use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. Job responsibilities Build robust Data Science capabilities which can be scaled across multiple business use cases Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems Research and analyse data sets using a variety of statistical and machine learning techniques Communicate AI capabilities and results to both technical and non-technical audiences Document approaches taken, techniques used and processes followed to comply with industry regulation Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions. Act as an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience. Required qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well-researched interest in NLP Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive experience with pytorch and related data science python libraries (e.g. pandas) Experience of containerising applications or models for deployment (Docker) Experience with one of the major public cloud providers (Azure, AWS, GCP) Ability to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders. Preferred qualifications, capabilities, and skills Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray) Experience of big data technologies Have constructed batch and streaming microservices exposed as REST/gRPC endpoints Experience with container orchestration tools (e.g. Kubernetes, Helm) Knowledge of open source datasets and benchmarks in NLP Hands on experience in implementing distributed/multi threaded/scalable applications Track record of developing, deploying business critical machine learning models
Apr 15, 2026
Full time
Join a high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI / ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI powered products and services and increasing opportunity for re use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. Job responsibilities Build robust Data Science capabilities which can be scaled across multiple business use cases Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems Research and analyse data sets using a variety of statistical and machine learning techniques Communicate AI capabilities and results to both technical and non-technical audiences Document approaches taken, techniques used and processes followed to comply with industry regulation Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions. Act as an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience. Required qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well-researched interest in NLP Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive experience with pytorch and related data science python libraries (e.g. pandas) Experience of containerising applications or models for deployment (Docker) Experience with one of the major public cloud providers (Azure, AWS, GCP) Ability to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders. Preferred qualifications, capabilities, and skills Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray) Experience of big data technologies Have constructed batch and streaming microservices exposed as REST/gRPC endpoints Experience with container orchestration tools (e.g. Kubernetes, Helm) Knowledge of open source datasets and benchmarks in NLP Hands on experience in implementing distributed/multi threaded/scalable applications Track record of developing, deploying business critical machine learning models
Infrastructure Engineer - £60 000 - £65 000 London (Hybrid): 3 days on-site Permanent Full-Time Our client is a globally recognised organisation delivering large-scale digital and media services to audiences worldwide. They operate in a high-availability, enterprise technology environment where infrastructure plays a critical role in supporting production, distribution, and operational systems. As part of continued growth and technology investment, they are expanding their infrastructure capability and modernising their on-premise and cloud platforms to support high-volume data and mission critical services. This is an opportunity to join a technically strong team working on complex infrastructure within a large-scale, performance-driven environment. The Role We are looking for an experienced Infrastructure Engineer to support and maintain core server, storage, and virtualisation platforms across a hybrid infrastructure environment. You will work across physical and virtual systems, ensuring reliability, performance, and security while contributing to infrastructure improvements and operational stability. This role suits someone who enjoys hands on infrastructure engineering, problem solving, and working with enterprise technologies in a collaborative team. Key Responsibilities Install, configure, and maintain enterprise server infrastructure Administer Windows and/or Linux server environments Manage and support enterprise storage platforms (SAN / NAS) Maintain and optimise virtualisation environments (e.g., Hyper V) Support hybrid cloud infrastructure (Azure / AWS) Monitor system performance, availability, and security Troubleshoot infrastructure issues across server, storage, and virtual platforms Maintain infrastructure documentation and system configurations Provide 2nd / 3rd line infrastructure support Participate in an on call rota where required Collaborate with networking and security teams on infrastructure initiatives Required Skills & Experience Experience in an Infrastructure Engineer, Systems Administrator, or similar role Strong knowledge of Windows Server and/or Linux Hands on experience with virtualisation technologies (Hyper V, VMware, or similar) Experience managing enterprise storage (SAN / NAS) Understanding of networking fundamentals: TCP/IP DNS DHCP Strong troubleshooting and analytical skills Ability to manage multiple priorities in a technical environment Strong communication and teamwork skills Experience with Azure or AWS cloud platform Apply directly or reach out on
Apr 15, 2026
Full time
Infrastructure Engineer - £60 000 - £65 000 London (Hybrid): 3 days on-site Permanent Full-Time Our client is a globally recognised organisation delivering large-scale digital and media services to audiences worldwide. They operate in a high-availability, enterprise technology environment where infrastructure plays a critical role in supporting production, distribution, and operational systems. As part of continued growth and technology investment, they are expanding their infrastructure capability and modernising their on-premise and cloud platforms to support high-volume data and mission critical services. This is an opportunity to join a technically strong team working on complex infrastructure within a large-scale, performance-driven environment. The Role We are looking for an experienced Infrastructure Engineer to support and maintain core server, storage, and virtualisation platforms across a hybrid infrastructure environment. You will work across physical and virtual systems, ensuring reliability, performance, and security while contributing to infrastructure improvements and operational stability. This role suits someone who enjoys hands on infrastructure engineering, problem solving, and working with enterprise technologies in a collaborative team. Key Responsibilities Install, configure, and maintain enterprise server infrastructure Administer Windows and/or Linux server environments Manage and support enterprise storage platforms (SAN / NAS) Maintain and optimise virtualisation environments (e.g., Hyper V) Support hybrid cloud infrastructure (Azure / AWS) Monitor system performance, availability, and security Troubleshoot infrastructure issues across server, storage, and virtual platforms Maintain infrastructure documentation and system configurations Provide 2nd / 3rd line infrastructure support Participate in an on call rota where required Collaborate with networking and security teams on infrastructure initiatives Required Skills & Experience Experience in an Infrastructure Engineer, Systems Administrator, or similar role Strong knowledge of Windows Server and/or Linux Hands on experience with virtualisation technologies (Hyper V, VMware, or similar) Experience managing enterprise storage (SAN / NAS) Understanding of networking fundamentals: TCP/IP DNS DHCP Strong troubleshooting and analytical skills Ability to manage multiple priorities in a technical environment Strong communication and teamwork skills Experience with Azure or AWS cloud platform Apply directly or reach out on
Staff Software Engineer (Golang) Department: Engineering Employment Type: Full Time Location: London Description Hybrid: 2 days per week in our Tower Bridge office and 1 time per month to our Fleet office Tempcover is at the forefront of the fast-growing world of short-term insurance. Our mission is to make car insurance flexible, quick, and easy for drivers. We've sold millions of policies that have helped drivers get where they need to go, but we're not finished there. We're growing our team to help us continue in that mission. If you are extraordinary at what you do and want to be a part of a rapidly growing business at the cutting edge of the Insurtech industry, we would love to hear from you! We're part of RVU, a group of online brands that include: Confused, Uswitch, money.co.uk, and Mojo Mortgages. About the role Tempcover is investing heavily in modernising our technology to power the next growth phase of our business. We are looking for a Staff (or Principle) Engineer who can bring a depth and breadth of experience to help shape this journey, working in a role with a high level of ownership, empowerment, impact, and mentorship. The ideal candidate will have strong proficiency in Golang and help shape our new architecture and adoption of this technology in the team. Each engineer plays an integral role in the development, delivery, maintenance, and support of our insurance-based systems, both public-facing and internal. We are looking for a Principal Engineer to serve as the technical anchor for our organization. In this high-impact role, you will move beyond individual contribution to shape the future of our technology. You will unify multiple teams towards a technical strategy together with our long-term company vision. What you'll be doing You will work directly with the VP Engineering to help set the new standard for large-scale system architecture. You will lead by example, personally designing and delivering high quality code which builds systems that are resilient, scalable, and observable, ensuring they can handle our next phase of growth. You will lead the evolution of our platform and will act as the bridge between technical estate and business requirements, ensuring stakeholders understand the why behind technical decisions and tradeoffs, and helping engineers understand how we can get there. Teams will look to you for guidance and you will serve as the escalation point for the most complex technical decisions. You will be mentoring and pairing with senior engineers, helping them grow into technical leaders and foster a culture of technical excellence and continuous learning. What we're looking for The highest level of proficiency designing, developing, operating and improving highly observable applications using Golang and other modern languages Deep understanding of AWS and AWS products like Lambdas, DynamoDB, etc but also comfortable or with tracked experience in Azure and Azure devops Knowledge of containerisation and IaC (Terraform, Pulumi, SST) Experience of having worked on, and led, modernisation initiatives, using techniques like the Strangler Fig Experience with technologies like Cloudflare or similar A solid understanding of development methodologies and design patterns Proficiency with C# ASP.NET, .Net Core are a plus (future work will be written in Golang/TypeScript though) React, Typescript, Astro, NodeJS are also a nice-to-have. You don't need to tick off everything on this list - so don't let that hold you back from applying. We want to make sure you're learning plenty during your time with us! Our commitment to you We are dedicated to developing valuable, inclusive, and user-friendly products and services that deliver positive outcomes for all of our customers. To achieve this, it's essential that our teams reflect the diverse range of people in our community. We believe in being the change we wish to see in the world, by embracing our differences and holding ourselves accountable to being open and inclusive teammates and wider community members. What we offer We want to give you a great work environment, support your growth both personally and professionally, and provide benefits that make your time at RVU even more enjoyable. Here are some of the benefits you can look forward to: 10% discretionary yearly bonus and yearly pay reviews (based on RVU and personal performance) A hybrid working approach with 2 in-office days per week and up to 22 working days per year to "work from anywhere" Employer matching pension contributions up to 7.5% A one-off £300 "work from home" budget to help contribute towards a great work environment at home Excellent maternity, paternity, shared parental and adoption leave policy, for those key moments in your life 25 days holiday (increasing with years of employment to 30 days) + 2 days "my time" per year Private medical cover, critical illness cover and employee assistance programme A healthy learning and training budget Electric vehicle and cycle to work schemes Regular events - from team socials to company-wide events with insightful external speakers, we want to make sure our colleagues continue to feel connected.
Apr 15, 2026
Full time
Staff Software Engineer (Golang) Department: Engineering Employment Type: Full Time Location: London Description Hybrid: 2 days per week in our Tower Bridge office and 1 time per month to our Fleet office Tempcover is at the forefront of the fast-growing world of short-term insurance. Our mission is to make car insurance flexible, quick, and easy for drivers. We've sold millions of policies that have helped drivers get where they need to go, but we're not finished there. We're growing our team to help us continue in that mission. If you are extraordinary at what you do and want to be a part of a rapidly growing business at the cutting edge of the Insurtech industry, we would love to hear from you! We're part of RVU, a group of online brands that include: Confused, Uswitch, money.co.uk, and Mojo Mortgages. About the role Tempcover is investing heavily in modernising our technology to power the next growth phase of our business. We are looking for a Staff (or Principle) Engineer who can bring a depth and breadth of experience to help shape this journey, working in a role with a high level of ownership, empowerment, impact, and mentorship. The ideal candidate will have strong proficiency in Golang and help shape our new architecture and adoption of this technology in the team. Each engineer plays an integral role in the development, delivery, maintenance, and support of our insurance-based systems, both public-facing and internal. We are looking for a Principal Engineer to serve as the technical anchor for our organization. In this high-impact role, you will move beyond individual contribution to shape the future of our technology. You will unify multiple teams towards a technical strategy together with our long-term company vision. What you'll be doing You will work directly with the VP Engineering to help set the new standard for large-scale system architecture. You will lead by example, personally designing and delivering high quality code which builds systems that are resilient, scalable, and observable, ensuring they can handle our next phase of growth. You will lead the evolution of our platform and will act as the bridge between technical estate and business requirements, ensuring stakeholders understand the why behind technical decisions and tradeoffs, and helping engineers understand how we can get there. Teams will look to you for guidance and you will serve as the escalation point for the most complex technical decisions. You will be mentoring and pairing with senior engineers, helping them grow into technical leaders and foster a culture of technical excellence and continuous learning. What we're looking for The highest level of proficiency designing, developing, operating and improving highly observable applications using Golang and other modern languages Deep understanding of AWS and AWS products like Lambdas, DynamoDB, etc but also comfortable or with tracked experience in Azure and Azure devops Knowledge of containerisation and IaC (Terraform, Pulumi, SST) Experience of having worked on, and led, modernisation initiatives, using techniques like the Strangler Fig Experience with technologies like Cloudflare or similar A solid understanding of development methodologies and design patterns Proficiency with C# ASP.NET, .Net Core are a plus (future work will be written in Golang/TypeScript though) React, Typescript, Astro, NodeJS are also a nice-to-have. You don't need to tick off everything on this list - so don't let that hold you back from applying. We want to make sure you're learning plenty during your time with us! Our commitment to you We are dedicated to developing valuable, inclusive, and user-friendly products and services that deliver positive outcomes for all of our customers. To achieve this, it's essential that our teams reflect the diverse range of people in our community. We believe in being the change we wish to see in the world, by embracing our differences and holding ourselves accountable to being open and inclusive teammates and wider community members. What we offer We want to give you a great work environment, support your growth both personally and professionally, and provide benefits that make your time at RVU even more enjoyable. Here are some of the benefits you can look forward to: 10% discretionary yearly bonus and yearly pay reviews (based on RVU and personal performance) A hybrid working approach with 2 in-office days per week and up to 22 working days per year to "work from anywhere" Employer matching pension contributions up to 7.5% A one-off £300 "work from home" budget to help contribute towards a great work environment at home Excellent maternity, paternity, shared parental and adoption leave policy, for those key moments in your life 25 days holiday (increasing with years of employment to 30 days) + 2 days "my time" per year Private medical cover, critical illness cover and employee assistance programme A healthy learning and training budget Electric vehicle and cycle to work schemes Regular events - from team socials to company-wide events with insightful external speakers, we want to make sure our colleagues continue to feel connected.
?Data Engineer / BI Specialist (Azure & Microsoft Fabric) Ready to turn complex data into real business impact? Join a forward-thinking organisation where you'll take ownership of a modern Azure & Microsoft Fabric data platform-driving powerful insights, shaping strategy, and enabling smarter decisions across the business. What you'll be doing Designing and managing a cutting-edge Microsoft Fabric ecosystem (Warehouses & Lakehouses) Building and optimising data pipelines (ADF / Fabric) to deliver clean, reliable data Creating high-impact Power BI dashboards & semantic models used by key stakeholders Driving data governance, security, and compliance (GDPR, PCI, ITAR) Championing a data-driven culture, empowering teams through training and self-service analytics What we're looking for Strong experience with Azure, Microsoft Fabric, and Power BI Expertise in data modelling, ETL/ELT pipelines, and DAX Solid understanding of data warehousing, cloud architecture, and analytics Experience with ERP/SAP data (desirable) Ability to translate complex data into clear, actionable insights Why join? Work with a modern, enterprise-scale data platform Influence how data is used across the organisation Be at the forefront of innovation in analytics and reporting Opportunity to gain UK SC Clearance and work in a highly regulated, high-impact environment Hybrid Working Model (3 days a week on site). Please only apply if you are eligible for UK Security Clearance.
Apr 15, 2026
Contractor
?Data Engineer / BI Specialist (Azure & Microsoft Fabric) Ready to turn complex data into real business impact? Join a forward-thinking organisation where you'll take ownership of a modern Azure & Microsoft Fabric data platform-driving powerful insights, shaping strategy, and enabling smarter decisions across the business. What you'll be doing Designing and managing a cutting-edge Microsoft Fabric ecosystem (Warehouses & Lakehouses) Building and optimising data pipelines (ADF / Fabric) to deliver clean, reliable data Creating high-impact Power BI dashboards & semantic models used by key stakeholders Driving data governance, security, and compliance (GDPR, PCI, ITAR) Championing a data-driven culture, empowering teams through training and self-service analytics What we're looking for Strong experience with Azure, Microsoft Fabric, and Power BI Expertise in data modelling, ETL/ELT pipelines, and DAX Solid understanding of data warehousing, cloud architecture, and analytics Experience with ERP/SAP data (desirable) Ability to translate complex data into clear, actionable insights Why join? Work with a modern, enterprise-scale data platform Influence how data is used across the organisation Be at the forefront of innovation in analytics and reporting Opportunity to gain UK SC Clearance and work in a highly regulated, high-impact environment Hybrid Working Model (3 days a week on site). Please only apply if you are eligible for UK Security Clearance.
Trades Workforce Solutions
City, Newcastle Upon Tyne
Senior Agile Delivery Manager (Contract) Duration: 12 Months Contract Type: Inside IR35 Day Rate: Up to £600/day via Umbrella + Expenses Location: Leeds, Newcastle or Birmingham (60% Onsite Requirement) Opportunity Overview A large, complex organisation is seeking a Senior Agile Delivery Manager to support the delivery of a newly formed software engineering team. This team will focus on a defined backlog of critical improvements across service security, resilience, testability, and recoverability. This is a hands on delivery role, not a coordination position. You will operate as an embedded Scrum Master within an active engineering team, working closely with developers, testers, and DevOps engineers to drive high quality software delivery. The successful candidate will play a key role in ensuring backlogs are technically ready, prioritised, and executable, working in close partnership with architecture and business analysis functions. Key Responsibilities Agile Delivery (Hands on) Act as Scrum Master / Delivery Manager within a live software engineering environment Lead core agile ceremonies including sprint planning, stand ups, reviews, and retrospectives Actively remove blockers and manage delivery flow, scope, and prioritisation Maintain consistent delivery momentum across sustained build activity Software Delivery & Technical Engagement Work closely with engineers across development, testing, and DevOps Operate effectively within modern software delivery lifecycles Engage confidently in technical discussions, trade offs, and challenges Support delivery across complex areas such as security, resilience, and recoverability Senior Stakeholder Engagement Influence and challenge senior technical and non technical stakeholders Provide clear, evidence based reporting on delivery progress Build trust through transparency and consistent performance Planning, Coordination & Governance Collaborate with Product Managers and technical leads to maintain prioritised backlogs Proactively manage risks, issues, and cross team dependencies Utilise Jira for detailed planning, tracking, and reporting Support governance and change processes where required Essential Skills and Experience Recent, hands on experience delivering software within agile engineering teams Proven track record operating as a Scrum Master or Delivery Manager in active build environments Strong understanding of modern software engineering practices, including: Version control (e.g. Git) CI/CD pipelines Cloud native or platform based architectures Experience working directly with developers, testers, and DevOps engineers Ability to manage complex delivery risks, dependencies, and backlogs Strong stakeholder management and influencing skills at a senior level High proficiency in Jira for team and programme level delivery Demonstrable experience aligned to senior capability (e.g. SFIA Level 6 equivalent) CV evidence must clearly outline delivery outcomes, technical context, and problem solving approach Technical Environment Cloud platforms (e.g. AWS and/or Azure) within active software delivery environments Infrastructure as Code (e.g. Terraform) CI/CD tooling and DevOps practices Automated testing and quality engineering approaches Secure and resilient digital service delivery Desirable Experience Experience working with platform or data engineering teams Exposure to large scale, regulated or public sector environments Familiarity with service management or change tools (e.g. ServiceNow) Location & Working Pattern Primary locations: Newcastle, Leeds, or Birmingham Minimum 60% on site presence required Candidates must live within a realistic commuting distance (approximately 90 minutes) for sustained attendance What's on Offer 12 month contract engagement Competitive day rate via umbrella Opportunity to work within a high impact, delivery focused engineering environment Exposure to complex, large scale digital services Application Process For further information or to apply, please get in touch for a confidential discussion.
Apr 15, 2026
Full time
Senior Agile Delivery Manager (Contract) Duration: 12 Months Contract Type: Inside IR35 Day Rate: Up to £600/day via Umbrella + Expenses Location: Leeds, Newcastle or Birmingham (60% Onsite Requirement) Opportunity Overview A large, complex organisation is seeking a Senior Agile Delivery Manager to support the delivery of a newly formed software engineering team. This team will focus on a defined backlog of critical improvements across service security, resilience, testability, and recoverability. This is a hands on delivery role, not a coordination position. You will operate as an embedded Scrum Master within an active engineering team, working closely with developers, testers, and DevOps engineers to drive high quality software delivery. The successful candidate will play a key role in ensuring backlogs are technically ready, prioritised, and executable, working in close partnership with architecture and business analysis functions. Key Responsibilities Agile Delivery (Hands on) Act as Scrum Master / Delivery Manager within a live software engineering environment Lead core agile ceremonies including sprint planning, stand ups, reviews, and retrospectives Actively remove blockers and manage delivery flow, scope, and prioritisation Maintain consistent delivery momentum across sustained build activity Software Delivery & Technical Engagement Work closely with engineers across development, testing, and DevOps Operate effectively within modern software delivery lifecycles Engage confidently in technical discussions, trade offs, and challenges Support delivery across complex areas such as security, resilience, and recoverability Senior Stakeholder Engagement Influence and challenge senior technical and non technical stakeholders Provide clear, evidence based reporting on delivery progress Build trust through transparency and consistent performance Planning, Coordination & Governance Collaborate with Product Managers and technical leads to maintain prioritised backlogs Proactively manage risks, issues, and cross team dependencies Utilise Jira for detailed planning, tracking, and reporting Support governance and change processes where required Essential Skills and Experience Recent, hands on experience delivering software within agile engineering teams Proven track record operating as a Scrum Master or Delivery Manager in active build environments Strong understanding of modern software engineering practices, including: Version control (e.g. Git) CI/CD pipelines Cloud native or platform based architectures Experience working directly with developers, testers, and DevOps engineers Ability to manage complex delivery risks, dependencies, and backlogs Strong stakeholder management and influencing skills at a senior level High proficiency in Jira for team and programme level delivery Demonstrable experience aligned to senior capability (e.g. SFIA Level 6 equivalent) CV evidence must clearly outline delivery outcomes, technical context, and problem solving approach Technical Environment Cloud platforms (e.g. AWS and/or Azure) within active software delivery environments Infrastructure as Code (e.g. Terraform) CI/CD tooling and DevOps practices Automated testing and quality engineering approaches Secure and resilient digital service delivery Desirable Experience Experience working with platform or data engineering teams Exposure to large scale, regulated or public sector environments Familiarity with service management or change tools (e.g. ServiceNow) Location & Working Pattern Primary locations: Newcastle, Leeds, or Birmingham Minimum 60% on site presence required Candidates must live within a realistic commuting distance (approximately 90 minutes) for sustained attendance What's on Offer 12 month contract engagement Competitive day rate via umbrella Opportunity to work within a high impact, delivery focused engineering environment Exposure to complex, large scale digital services Application Process For further information or to apply, please get in touch for a confidential discussion.
Senior Agile Delivery Manager (Contract) Duration: 12 Months Contract Type: Inside IR35 Day Rate: Up to £600/day via Umbrella + Expenses Location: Leeds, Newcastle or Birmingham (60% Onsite Requirement) Opportunity Overview A large, complex organisation is seeking a Senior Agile Delivery Manager to support the delivery of a newly formed software engineering team. This team will focus on a defined backlog of critical improvements across service security, resilience, testability, and recoverability. This is a hands on delivery role, not a coordination position. You will operate as an embedded Scrum Master within an active engineering team, working closely with developers, testers, and DevOps engineers to drive high quality software delivery. The successful candidate will play a key role in ensuring backlogs are technically ready, prioritised, and executable, working in close partnership with architecture and business analysis functions. Key Responsibilities Agile Delivery (Hands on) Act as Scrum Master / Delivery Manager within a live software engineering environment Lead core agile ceremonies including sprint planning, stand ups, reviews, and retrospectives Actively remove blockers and manage delivery flow, scope, and prioritisation Maintain consistent delivery momentum across sustained build activity Software Delivery & Technical Engagement Work closely with engineers across development, testing, and DevOps Operate effectively within modern software delivery lifecycles Engage confidently in technical discussions, trade offs, and challenges Support delivery across complex areas such as security, resilience, and recoverability Senior Stakeholder Engagement Influence and challenge senior technical and non technical stakeholders Provide clear, evidence based reporting on delivery progress Build trust through transparency and consistent performance Planning, Coordination & Governance Collaborate with Product Managers and technical leads to maintain prioritised backlogs Proactively manage risks, issues, and cross team dependencies Utilise Jira for detailed planning, tracking, and reporting Support governance and change processes where required Essential Skills and Experience Recent, hands on experience delivering software within agile engineering teams Proven track record operating as a Scrum Master or Delivery Manager in active build environments Strong understanding of modern software engineering practices, including: Version control (e.g. Git) CI/CD pipelines Cloud native or platform based architectures Experience working directly with developers, testers, and DevOps engineers Ability to manage complex delivery risks, dependencies, and backlogs Strong stakeholder management and influencing skills at a senior level High proficiency in Jira for team and programme level delivery Demonstrable experience aligned to senior capability (e.g. SFIA Level 6 equivalent) CV evidence must clearly outline delivery outcomes, technical context, and problem solving approach Technical Environment Cloud platforms (e.g. AWS and/or Azure) within active software delivery environments Infrastructure as Code (e.g. Terraform) CI/CD tooling and DevOps practices Automated testing and quality engineering approaches Secure and resilient digital service delivery Desirable Experience Experience working with platform or data engineering teams Exposure to large scale, regulated or public sector environments Familiarity with service management or change tools (e.g. ServiceNow) Location & Working Pattern Primary locations: Newcastle, Leeds, or Birmingham Minimum 60% on site presence required Candidates must live within a realistic commuting distance (approximately 90 minutes) for sustained attendance What's on Offer 12 month contract engagement Competitive day rate via umbrella Opportunity to work within a high impact, delivery focused engineering environment Exposure to complex, large scale digital services Application Process For further information or to apply, please get in touch for a confidential discussion.
Apr 15, 2026
Full time
Senior Agile Delivery Manager (Contract) Duration: 12 Months Contract Type: Inside IR35 Day Rate: Up to £600/day via Umbrella + Expenses Location: Leeds, Newcastle or Birmingham (60% Onsite Requirement) Opportunity Overview A large, complex organisation is seeking a Senior Agile Delivery Manager to support the delivery of a newly formed software engineering team. This team will focus on a defined backlog of critical improvements across service security, resilience, testability, and recoverability. This is a hands on delivery role, not a coordination position. You will operate as an embedded Scrum Master within an active engineering team, working closely with developers, testers, and DevOps engineers to drive high quality software delivery. The successful candidate will play a key role in ensuring backlogs are technically ready, prioritised, and executable, working in close partnership with architecture and business analysis functions. Key Responsibilities Agile Delivery (Hands on) Act as Scrum Master / Delivery Manager within a live software engineering environment Lead core agile ceremonies including sprint planning, stand ups, reviews, and retrospectives Actively remove blockers and manage delivery flow, scope, and prioritisation Maintain consistent delivery momentum across sustained build activity Software Delivery & Technical Engagement Work closely with engineers across development, testing, and DevOps Operate effectively within modern software delivery lifecycles Engage confidently in technical discussions, trade offs, and challenges Support delivery across complex areas such as security, resilience, and recoverability Senior Stakeholder Engagement Influence and challenge senior technical and non technical stakeholders Provide clear, evidence based reporting on delivery progress Build trust through transparency and consistent performance Planning, Coordination & Governance Collaborate with Product Managers and technical leads to maintain prioritised backlogs Proactively manage risks, issues, and cross team dependencies Utilise Jira for detailed planning, tracking, and reporting Support governance and change processes where required Essential Skills and Experience Recent, hands on experience delivering software within agile engineering teams Proven track record operating as a Scrum Master or Delivery Manager in active build environments Strong understanding of modern software engineering practices, including: Version control (e.g. Git) CI/CD pipelines Cloud native or platform based architectures Experience working directly with developers, testers, and DevOps engineers Ability to manage complex delivery risks, dependencies, and backlogs Strong stakeholder management and influencing skills at a senior level High proficiency in Jira for team and programme level delivery Demonstrable experience aligned to senior capability (e.g. SFIA Level 6 equivalent) CV evidence must clearly outline delivery outcomes, technical context, and problem solving approach Technical Environment Cloud platforms (e.g. AWS and/or Azure) within active software delivery environments Infrastructure as Code (e.g. Terraform) CI/CD tooling and DevOps practices Automated testing and quality engineering approaches Secure and resilient digital service delivery Desirable Experience Experience working with platform or data engineering teams Exposure to large scale, regulated or public sector environments Familiarity with service management or change tools (e.g. ServiceNow) Location & Working Pattern Primary locations: Newcastle, Leeds, or Birmingham Minimum 60% on site presence required Candidates must live within a realistic commuting distance (approximately 90 minutes) for sustained attendance What's on Offer 12 month contract engagement Competitive day rate via umbrella Opportunity to work within a high impact, delivery focused engineering environment Exposure to complex, large scale digital services Application Process For further information or to apply, please get in touch for a confidential discussion.
Software Engineer Tech Lead page is loaded Software Engineer Tech Leadlocations: United Kingdom - Bristoltime type: Full timeposted on: Posted 7 Days Agojob requisition id: R57063 Job Summary: The Technical Lead is responsible for setting the technical direction, ensuring engineering excellence, and guiding development teams in delivering secure, scalable, high quality software products. This role combines architectural ownership, hands on technical leadership, and people development to drive consistent engineering standards across the organisation. The Technical Lead acts as the authority on technical decisions and owns the long term technical roadmap. Job Description: As the Technical Lead, you will be responsible for setting the technical direction, ensuring engineering excellence, and guiding development teams in delivering secure, scalable, high quality software products. This role combines architectural ownership, hands on technical leadership, and people development to drive consistent engineering standards across the organisation. You will acts as the authority on technical decisions and owns the long term technical roadmap.This is a hybrid role based in Bristol. Responsibilities Technical Architecture Define, document, and maintain the overarching technical architecture across all products. Evaluate and recommend technology choices aligned with business goals and long term scalability. Ensure architectural consistency, interoperability, and adherence to best practices across teams. Establish and maintain design patterns, coding standards, and architectural guidelines. Security & Quality Lead security architecture, including vulnerability remediation strategies and secure by design principles. Define and enforce code review standards, practices, and quality gates. Establish quality metrics, measurement frameworks, and continuous improvement cycles. Provide guidance on performance optimisation, scalability strategies, and system reliability. DevOps & Automation Architect and evolve CI/CD pipelines to support efficient, reliable delivery. Define standards for test automation frameworks and ensure adoption across teams. Champion infrastructure as code practices and modern deployment automation. Oversee deployment, release management, and environment strategy. AI Strategy & Tooling Lead the adoption and effective use of the organisation's AI assisted development tool-chain across all engineering teams. Define best practices, standards, and guardrails for AI assisted development, including code generation, automated code review, and intelligent testing. Establish policies for responsible AI use within engineering workflows, aligned with organisational governance frameworks (e.g. ISO/IEC 42001). Drive measurable productivity improvements through consistent, disciplined use of AI tooling. Champion AI literacy and up-skilling across development teams, ensuring capability keeps pace with tooling. People & Team Development Provide technical mentoring, coaching, and support for developers at all levels. Facilitate knowledge sharing, engineering communities of practice, and cross team collaboration. Identify skills gaps, training needs, and development opportunities within engineering teams. Support technical hiring, including interviews, assessments, and on-boarding. Guide career development for technical staff, helping shape progression pathways. Decision Authority Hold decision making authority on technical architecture and design. Enforce coding standards, quality expectations, and engineering best practices. Mandate technical practices such as test coverage thresholds, documentation standards, and review processes. Own the technical roadmap, including technical debt prioritisation and long term platform evolution. Other Duties Assist in ad hoc projects. Travel to Company sites (Northampton and Bristol) and for events as required. Any other duties assigned by your line manager.# Skills and Experience Essential Proven experience in a senior engineering or technical leadership role. Strong background in software architecture, system design, and modern engineering practices. Deep understanding of DevOps, CI/CD, cloud platforms, and automation tooling. Expertise in secure coding, performance optimisation, and scalable system design. Demonstrated ability to mentor, influence, and lead technical teams. Excellent communication skills, able to translate complex technical concepts for diverse audiences. Proven ability to lead adoption of AI assisted development practices, embedding best practice and driving consistent usage across engineering teams. Hands on experience with AI powered development tools and a clear understanding of their effective and responsible use in professional software delivery. C#/Java and Azure. Desirable Experience working in multi product or platform based environments. Familiarity with compliance frameworks, security standards, or regulated industries. Exposure to agile delivery models and cross functional team leadership. Experience defining AI governance policies aligned with frameworks such as ISO/IEC 42001. Track record of driving measurable productivity gains through AI tooling in CI/CD and development workflows.Strong prompt engineering skills and practical understanding of LLM capabilities and limitations in a software engineering context. Worker Type: Regular Number of Openings Available: 1Imperial is the UK's largest and most experienced provider of parking, environmental and traffic management systems. With over thirty years' experience, Imperial provides fully-integrated business processing and IT solutions to public authorities, universities, hospitals and private enforcement contractors right across the country. With award-winning services, utilisation of proven, yet leading-edge, technology, Imperial now has the UK's largest client portfolio in civil enforcement. We bring an unrivalled combination of sector insight, technology skills and the experience of a number of successful service partnerships; undoubtedly providing the capacity, experience and expertise needed to deliver integrated enforcement solutions.Being part of the Imperial Business Systems Group continues to mean that all clients benefit from a stable and successful resource dedicated to the development and application of enforcement technology. The company's established team of system engineers has pioneered recent advances in parking enforcement technology as a direct result of its close client and e-Government partnerships and its progressive User Group. These ongoing developments are supported by stringent management disciplines, a full range of application support services and an overriding commitment to meet the evolving priorities and operational requirements of each client, as well as periodic changes in traffic management legislation. The software allows for easy integration with third-party products, technologies and interfaces to support the Government's joined-up approach. Imperial is an equal opportunity employer, we recruit, hire, train, promote and provide all other privileges of employment to qualified people without regard to age, race, creed, national origin, gender, gender identity, gender expression, disability, marital status, citizenship status, ethnicity, familial status, religion, sexual orientation or any other classification for which discrimination is prohibited.
Apr 15, 2026
Full time
Software Engineer Tech Lead page is loaded Software Engineer Tech Leadlocations: United Kingdom - Bristoltime type: Full timeposted on: Posted 7 Days Agojob requisition id: R57063 Job Summary: The Technical Lead is responsible for setting the technical direction, ensuring engineering excellence, and guiding development teams in delivering secure, scalable, high quality software products. This role combines architectural ownership, hands on technical leadership, and people development to drive consistent engineering standards across the organisation. The Technical Lead acts as the authority on technical decisions and owns the long term technical roadmap. Job Description: As the Technical Lead, you will be responsible for setting the technical direction, ensuring engineering excellence, and guiding development teams in delivering secure, scalable, high quality software products. This role combines architectural ownership, hands on technical leadership, and people development to drive consistent engineering standards across the organisation. You will acts as the authority on technical decisions and owns the long term technical roadmap.This is a hybrid role based in Bristol. Responsibilities Technical Architecture Define, document, and maintain the overarching technical architecture across all products. Evaluate and recommend technology choices aligned with business goals and long term scalability. Ensure architectural consistency, interoperability, and adherence to best practices across teams. Establish and maintain design patterns, coding standards, and architectural guidelines. Security & Quality Lead security architecture, including vulnerability remediation strategies and secure by design principles. Define and enforce code review standards, practices, and quality gates. Establish quality metrics, measurement frameworks, and continuous improvement cycles. Provide guidance on performance optimisation, scalability strategies, and system reliability. DevOps & Automation Architect and evolve CI/CD pipelines to support efficient, reliable delivery. Define standards for test automation frameworks and ensure adoption across teams. Champion infrastructure as code practices and modern deployment automation. Oversee deployment, release management, and environment strategy. AI Strategy & Tooling Lead the adoption and effective use of the organisation's AI assisted development tool-chain across all engineering teams. Define best practices, standards, and guardrails for AI assisted development, including code generation, automated code review, and intelligent testing. Establish policies for responsible AI use within engineering workflows, aligned with organisational governance frameworks (e.g. ISO/IEC 42001). Drive measurable productivity improvements through consistent, disciplined use of AI tooling. Champion AI literacy and up-skilling across development teams, ensuring capability keeps pace with tooling. People & Team Development Provide technical mentoring, coaching, and support for developers at all levels. Facilitate knowledge sharing, engineering communities of practice, and cross team collaboration. Identify skills gaps, training needs, and development opportunities within engineering teams. Support technical hiring, including interviews, assessments, and on-boarding. Guide career development for technical staff, helping shape progression pathways. Decision Authority Hold decision making authority on technical architecture and design. Enforce coding standards, quality expectations, and engineering best practices. Mandate technical practices such as test coverage thresholds, documentation standards, and review processes. Own the technical roadmap, including technical debt prioritisation and long term platform evolution. Other Duties Assist in ad hoc projects. Travel to Company sites (Northampton and Bristol) and for events as required. Any other duties assigned by your line manager.# Skills and Experience Essential Proven experience in a senior engineering or technical leadership role. Strong background in software architecture, system design, and modern engineering practices. Deep understanding of DevOps, CI/CD, cloud platforms, and automation tooling. Expertise in secure coding, performance optimisation, and scalable system design. Demonstrated ability to mentor, influence, and lead technical teams. Excellent communication skills, able to translate complex technical concepts for diverse audiences. Proven ability to lead adoption of AI assisted development practices, embedding best practice and driving consistent usage across engineering teams. Hands on experience with AI powered development tools and a clear understanding of their effective and responsible use in professional software delivery. C#/Java and Azure. Desirable Experience working in multi product or platform based environments. Familiarity with compliance frameworks, security standards, or regulated industries. Exposure to agile delivery models and cross functional team leadership. Experience defining AI governance policies aligned with frameworks such as ISO/IEC 42001. Track record of driving measurable productivity gains through AI tooling in CI/CD and development workflows.Strong prompt engineering skills and practical understanding of LLM capabilities and limitations in a software engineering context. Worker Type: Regular Number of Openings Available: 1Imperial is the UK's largest and most experienced provider of parking, environmental and traffic management systems. With over thirty years' experience, Imperial provides fully-integrated business processing and IT solutions to public authorities, universities, hospitals and private enforcement contractors right across the country. With award-winning services, utilisation of proven, yet leading-edge, technology, Imperial now has the UK's largest client portfolio in civil enforcement. We bring an unrivalled combination of sector insight, technology skills and the experience of a number of successful service partnerships; undoubtedly providing the capacity, experience and expertise needed to deliver integrated enforcement solutions.Being part of the Imperial Business Systems Group continues to mean that all clients benefit from a stable and successful resource dedicated to the development and application of enforcement technology. The company's established team of system engineers has pioneered recent advances in parking enforcement technology as a direct result of its close client and e-Government partnerships and its progressive User Group. These ongoing developments are supported by stringent management disciplines, a full range of application support services and an overriding commitment to meet the evolving priorities and operational requirements of each client, as well as periodic changes in traffic management legislation. The software allows for easy integration with third-party products, technologies and interfaces to support the Government's joined-up approach. Imperial is an equal opportunity employer, we recruit, hire, train, promote and provide all other privileges of employment to qualified people without regard to age, race, creed, national origin, gender, gender identity, gender expression, disability, marital status, citizenship status, ethnicity, familial status, religion, sexual orientation or any other classification for which discrimination is prohibited.
Expected Salary : £52,000 - £74,000 (depending upon experience) Flexible Working : This is a hybrid working role, therefore your time will primarily be split between working from home (in the UK) and London Head Office / Bracknell Head Office. However, there will also be an expectation to visit other locations as the need arises. This is an opportunity to join one of our agile product teams working as a Senior Back-End Software Engineer using Kotlin or Java. You will be leveraging your excellent backend skills from your Kotlin or Java background to build and support new features adding value for Our Business. As a Senior Engineer, you will also use your knowledge of Software Engineering to support the shaping of new projects and support the professional development of less experienced Engineers. There are opportunities to become a people manager for your fellow engineers if that is something that appeals to you. Successful candidates will have a passion for using technology to deliver outstanding and innovative software solutions, and will have a track record of working in teams delivering complex, performant, high quality software. Learning new skills is extremely important to us. You would be expected to constantly improve your engineering skills and keep up to date with the latest technologies and techniques. In return for your commitment you will receive the support and resources needed to achieve your learning goals. Server side Kotlin or a modern version of Java. A structured approach to systems analysis and development. Experience with application frameworks such as http4k or Spring Boot. An understanding of Agile development methods such as Scrum or Kanban. Familiarity with techniques like TDD, pair programming. Continuous Integration/Continuous Delivery. An understanding of Microservice and Event Driven Architectures. REST API development and/or consumption. Experience with Cloud Platforms such as AWS, GCP or Azure. Docker, Kubernetes. Jenkins, Gitlab CI.
Apr 15, 2026
Full time
Expected Salary : £52,000 - £74,000 (depending upon experience) Flexible Working : This is a hybrid working role, therefore your time will primarily be split between working from home (in the UK) and London Head Office / Bracknell Head Office. However, there will also be an expectation to visit other locations as the need arises. This is an opportunity to join one of our agile product teams working as a Senior Back-End Software Engineer using Kotlin or Java. You will be leveraging your excellent backend skills from your Kotlin or Java background to build and support new features adding value for Our Business. As a Senior Engineer, you will also use your knowledge of Software Engineering to support the shaping of new projects and support the professional development of less experienced Engineers. There are opportunities to become a people manager for your fellow engineers if that is something that appeals to you. Successful candidates will have a passion for using technology to deliver outstanding and innovative software solutions, and will have a track record of working in teams delivering complex, performant, high quality software. Learning new skills is extremely important to us. You would be expected to constantly improve your engineering skills and keep up to date with the latest technologies and techniques. In return for your commitment you will receive the support and resources needed to achieve your learning goals. Server side Kotlin or a modern version of Java. A structured approach to systems analysis and development. Experience with application frameworks such as http4k or Spring Boot. An understanding of Agile development methods such as Scrum or Kanban. Familiarity with techniques like TDD, pair programming. Continuous Integration/Continuous Delivery. An understanding of Microservice and Event Driven Architectures. REST API development and/or consumption. Experience with Cloud Platforms such as AWS, GCP or Azure. Docker, Kubernetes. Jenkins, Gitlab CI.
Join Nordcloud and be part of the European cloud revolution. We supercharge our customers to innovate in hyperscaler cloud, enabling seamless migration, advanced security, and data-driven success. Senior Python Developer (AI Augmented) Level: Senior (5-7 years) Location: London / Hybrid policy Employment type: Permanent Reporting to: Lead Architect Why this role exists We're modernising a complex back end and need senior developers who can move fast with quality-leveraging AI augmented coding tools (Claude, GitHub Copilot, CodeLlama/Codex, etc.) to accelerate analysis of the current system and delivery of well tested, maintainable features. You'll pair program frequently, practice TDD, and own your code from dev to prod. What you'll do Build & ship Python services: Design, implement, and maintain backend services/APIs (Django or FastAPI), with clear boundaries, strong typing, and robust observability. Use AI for the heavy lifting: Employ AI tools to analyse legacy code, draft migration plans, generate scaffolds/tests, and speed up refactors-while applying human judgment to validate outputs and manage risks. TDD as standard: Write tests first and automate end to end validation (e.g., Playwright for web flows; pytest for unit/integration). Pair program often: Co design and co code to raise quality, share context, and keep momentum; rotate pairs for knowledge spread. Own the path to production: Build and maintain CI/CD pipelines; configure environments; instrument services (logging/metrics/traces); champion release health. Provision infra as code: Use Terraform to define cloud resources; keep everything reproducible and reviewable. Data & persistence: Model and optimise relational stores (SQL), write migrations, and tune performance. Engineering rigor: Code reviews, ADRs, threat modelling, performance profiling, and continuous refactoring. Team leadership: Mentor peers, help refine tickets, contribute to roadmaps, and uphold engineering standards. What you'll bring Must haves 5-7 years professional software development experience, with a very strong Python background. Hands on experience with AI augmented coding (e.g., Claude, GitHub Copilot, Codex), including practical understanding of pros/cons (context windows, hallucinations, privacy, licensing, code provenance, and when not to use AI). Solid web service development with Django or FastAPI. Strong SQL skills (schema design, migrations, query optimisation). Proven TDD mindset (unit/integration) and UI/E2E testing with Playwright. DevOps fluency: build/deploy your own pipelines (GitHub Actions/Azure DevOps/GitLab CI, etc.), containerisation (Docker), environment configuration, and infrastructure as code with Terraform. Comfortable with pair programming as a default practice; excellent communication and collaboration. Bias for action: you work quickly, test thoroughly, and keep quality high. Nice to haves Java experience (helpful for legacy interop; not essential). Cloud experience (AWS/Azure/GCP), including networking, secrets, and observability stacks (OpenTelemetry/Prometheus/Grafana). Security by design: OWASP, dependency scanning, SBOMs, and least privilege IAM. Performance tuning at API/database layers. How we build (principles) AI accelerated, human validated: Use AI to explore, summarise, and draft-engineers remain accountable for correctness, security, and maintainability. Test first: Every change includes tests; flaky tests are treated as production bugs. Small batches: Short lived branches, frequent merges, and automated deploys. Observability: SLOs, golden signals, and actionable alerts. Code health: Continuous refactoring, dependency hygiene, and ADRs for key decisions. We encourage you to apply, even if you don't meet all of the requirements. We value your growth potential and enthusiasm! What we offer Individual training budget and exam fees for certifications Flexible working hours and hybrid working model Company laptop and needed equipment Local package such as up to 7% matched pension contributions, extensive private health care, Bupa dental plan, and a seasonal ticket loan, enhanced maternity and parental leave, gym expense or well being monthly and mobile phone allowance Please read our Recruitment Privacy Policy before applying. All applicants must have the right to work in the UK. About Nordcloud Nordcloud is a European leader in cloud implementation, application development, managed services and training. It's a recognised cloud-native pioneer with a proven track record helping organisations leverage public cloud in a way that balances quick wins, immediate savings and sustainable value. Nordcloud is triple-certified across Amazon Web Services, Microsoft Azure and Google Cloud Platform - with 10 European hubs, over 1,300 employees and has delivered over 1,000 successful cloud projects for companies ranging from midsize to large corporates. Our clients benefit from multi cloud expertise that guides best practices, preempts pitfalls, provides essential technical support and steers teams through cultural change. From strategy planning to application management, we take our customers through the whole cloud journey to drive real business outcomes from cloud technology. Learn more at Nordcloud values diversity and is dedicated to providing equal opportunities for all candidates and employees.
Apr 15, 2026
Full time
Join Nordcloud and be part of the European cloud revolution. We supercharge our customers to innovate in hyperscaler cloud, enabling seamless migration, advanced security, and data-driven success. Senior Python Developer (AI Augmented) Level: Senior (5-7 years) Location: London / Hybrid policy Employment type: Permanent Reporting to: Lead Architect Why this role exists We're modernising a complex back end and need senior developers who can move fast with quality-leveraging AI augmented coding tools (Claude, GitHub Copilot, CodeLlama/Codex, etc.) to accelerate analysis of the current system and delivery of well tested, maintainable features. You'll pair program frequently, practice TDD, and own your code from dev to prod. What you'll do Build & ship Python services: Design, implement, and maintain backend services/APIs (Django or FastAPI), with clear boundaries, strong typing, and robust observability. Use AI for the heavy lifting: Employ AI tools to analyse legacy code, draft migration plans, generate scaffolds/tests, and speed up refactors-while applying human judgment to validate outputs and manage risks. TDD as standard: Write tests first and automate end to end validation (e.g., Playwright for web flows; pytest for unit/integration). Pair program often: Co design and co code to raise quality, share context, and keep momentum; rotate pairs for knowledge spread. Own the path to production: Build and maintain CI/CD pipelines; configure environments; instrument services (logging/metrics/traces); champion release health. Provision infra as code: Use Terraform to define cloud resources; keep everything reproducible and reviewable. Data & persistence: Model and optimise relational stores (SQL), write migrations, and tune performance. Engineering rigor: Code reviews, ADRs, threat modelling, performance profiling, and continuous refactoring. Team leadership: Mentor peers, help refine tickets, contribute to roadmaps, and uphold engineering standards. What you'll bring Must haves 5-7 years professional software development experience, with a very strong Python background. Hands on experience with AI augmented coding (e.g., Claude, GitHub Copilot, Codex), including practical understanding of pros/cons (context windows, hallucinations, privacy, licensing, code provenance, and when not to use AI). Solid web service development with Django or FastAPI. Strong SQL skills (schema design, migrations, query optimisation). Proven TDD mindset (unit/integration) and UI/E2E testing with Playwright. DevOps fluency: build/deploy your own pipelines (GitHub Actions/Azure DevOps/GitLab CI, etc.), containerisation (Docker), environment configuration, and infrastructure as code with Terraform. Comfortable with pair programming as a default practice; excellent communication and collaboration. Bias for action: you work quickly, test thoroughly, and keep quality high. Nice to haves Java experience (helpful for legacy interop; not essential). Cloud experience (AWS/Azure/GCP), including networking, secrets, and observability stacks (OpenTelemetry/Prometheus/Grafana). Security by design: OWASP, dependency scanning, SBOMs, and least privilege IAM. Performance tuning at API/database layers. How we build (principles) AI accelerated, human validated: Use AI to explore, summarise, and draft-engineers remain accountable for correctness, security, and maintainability. Test first: Every change includes tests; flaky tests are treated as production bugs. Small batches: Short lived branches, frequent merges, and automated deploys. Observability: SLOs, golden signals, and actionable alerts. Code health: Continuous refactoring, dependency hygiene, and ADRs for key decisions. We encourage you to apply, even if you don't meet all of the requirements. We value your growth potential and enthusiasm! What we offer Individual training budget and exam fees for certifications Flexible working hours and hybrid working model Company laptop and needed equipment Local package such as up to 7% matched pension contributions, extensive private health care, Bupa dental plan, and a seasonal ticket loan, enhanced maternity and parental leave, gym expense or well being monthly and mobile phone allowance Please read our Recruitment Privacy Policy before applying. All applicants must have the right to work in the UK. About Nordcloud Nordcloud is a European leader in cloud implementation, application development, managed services and training. It's a recognised cloud-native pioneer with a proven track record helping organisations leverage public cloud in a way that balances quick wins, immediate savings and sustainable value. Nordcloud is triple-certified across Amazon Web Services, Microsoft Azure and Google Cloud Platform - with 10 European hubs, over 1,300 employees and has delivered over 1,000 successful cloud projects for companies ranging from midsize to large corporates. Our clients benefit from multi cloud expertise that guides best practices, preempts pitfalls, provides essential technical support and steers teams through cultural change. From strategy planning to application management, we take our customers through the whole cloud journey to drive real business outcomes from cloud technology. Learn more at Nordcloud values diversity and is dedicated to providing equal opportunities for all candidates and employees.
We have a fantastic opportunity for an experienced Network Engineer to join our highly skilled Infrastructure team to deliver exceptional 3rd line support to the global infrastructure network and deliver various network projects within tight timeframes. Qualifications and Experience CCNP level certification or above Strong experience as Level 3 Network Engineer Vendor Experience: Cisco and Meraki products Experience in configuration and troubleshooting of Cisco FTD, Cisco FMC, Cisco Switches & Nexus 5k/9k switches Experience in configuration and troubleshooting of Meraki Products - MX, MS, MR, and SD WAN Administration of Cisco Catalyst Switches, Cisco ISR routers and Cisco DNA Center In-depth experience in working with Cisco ISE (Identity Services Engine) Fundamental Multicast problem solving skills Good understanding and troubleshooting skills of Azure cloud based networks Network Automation - write and execute scripts in Python Configuration and troubleshooting Cisco Anyconnect remote access VPN Ideally some Linux experience Knowledge and application of ITIL processes Responsibilities Lead or contribute to the technical delivery of various network projects that include design, configuration and installation of office moves and expansion, replacement of existing vendors, and managing data centre networks. Create and maintain project related documentation, ensuring that accurate information is available to team members and other teams. Conduct workshops at regular intervals to share knowledge with others. Create and maintain site documentation and technical documentation. Develop knowledge in a specific technology area to become a trusted SME in that field. Proactively monitor IT systems and take preventative measures to reduce system downtime. Write post incident review documents and suggest/implement recommendation plans to reduce/prevent further incidents. Test business applications, network, and server performance, provide performance statistics and reports, develop strategies for maintaining and improving core infrastructure. Adhere to all IT security policies and assist in enforcing and monitoring IT security policies. Spot potential vulnerabilities and suggest resolution. Evaluate, design, and maintain infrastructure systems, including LANs, WANs, Internet, intranet, security, and incident and change management systems. Understand business requirements and suggest appropriate technologies to help deliver business goals. On call rota and regular weekend network maintenance.
Apr 15, 2026
Full time
We have a fantastic opportunity for an experienced Network Engineer to join our highly skilled Infrastructure team to deliver exceptional 3rd line support to the global infrastructure network and deliver various network projects within tight timeframes. Qualifications and Experience CCNP level certification or above Strong experience as Level 3 Network Engineer Vendor Experience: Cisco and Meraki products Experience in configuration and troubleshooting of Cisco FTD, Cisco FMC, Cisco Switches & Nexus 5k/9k switches Experience in configuration and troubleshooting of Meraki Products - MX, MS, MR, and SD WAN Administration of Cisco Catalyst Switches, Cisco ISR routers and Cisco DNA Center In-depth experience in working with Cisco ISE (Identity Services Engine) Fundamental Multicast problem solving skills Good understanding and troubleshooting skills of Azure cloud based networks Network Automation - write and execute scripts in Python Configuration and troubleshooting Cisco Anyconnect remote access VPN Ideally some Linux experience Knowledge and application of ITIL processes Responsibilities Lead or contribute to the technical delivery of various network projects that include design, configuration and installation of office moves and expansion, replacement of existing vendors, and managing data centre networks. Create and maintain project related documentation, ensuring that accurate information is available to team members and other teams. Conduct workshops at regular intervals to share knowledge with others. Create and maintain site documentation and technical documentation. Develop knowledge in a specific technology area to become a trusted SME in that field. Proactively monitor IT systems and take preventative measures to reduce system downtime. Write post incident review documents and suggest/implement recommendation plans to reduce/prevent further incidents. Test business applications, network, and server performance, provide performance statistics and reports, develop strategies for maintaining and improving core infrastructure. Adhere to all IT security policies and assist in enforcing and monitoring IT security policies. Spot potential vulnerabilities and suggest resolution. Evaluate, design, and maintain infrastructure systems, including LANs, WANs, Internet, intranet, security, and incident and change management systems. Understand business requirements and suggest appropriate technologies to help deliver business goals. On call rota and regular weekend network maintenance.
TL;DR Deducta is a fast-growing startup serving some of the world's largest and most recognizable companies. We are well funded and actively solving the most pressing business challenges in the modern enterprise. We are looking for a Senior Backend Engineer to be a leader in the design, building, and maintenance of our core systems. Specifically, you will be responsible for: Building and maintaining high-volume, low-latency APIs for enterprise grade data processing systems Shipping excellent code, fast Location: London, UK. Our office is located near London Bridge and we like to work in person. Comp: Total compensation for this role starts at £150k Visas: We will sponsor a visa for the right candidate to join us What is Deducta? Deducta is a data intelligence platform for global enterprises. We deliver unprecedented clarity into mission-critical data for the world's largest and most complex enterprises, starting with spend data. We are the leading edge for major business transformations. Our partners use Deducta to deliver results that matter, orders of magnitude faster. What is the Role? We ingest massive datasets containing critical enterprise knowledge from multiple sources and formats, and create structure where there was none previously. Our system leverages state-of-the-art LLMs to solve this problem with unprecedented accuracy, at previously unthinkable scales. As a Senior Backend Engineer, you will design, build, and maintain the backbone of our platform as it grows. What you'll do: Architect, build, and maintain data ingestion and processing engines with the scale and reliability to manage mission critical operations for the largest companies in the world Build and maintain ultra-fast, high volume, well documented APIs to enable these systems Drive business growth through a combination of ideation and experimentation to optimize our product, and front-line problem solving for our customers Collaborate closely with technical and non-technical teammates to understand our customers' problems and build products that solve them Success in this role means: Leading development efforts from idea inception to production Constantly driving improvements and new functionality Who will be the right fit? We're looking for a technically exceptional engineer who thrives with agency and ownership. You might be the right fit if you have Solid experience with object oriented programming in cloud environments (e.g. AWS, GCP, or Azure), with .NET experience being a plus Experience with SOLID, domain driven design, and Clean Architecture principles A passion for good software craft, strong intuition for distinguishing good technical debt from bad, and sense for distinguishing good architectural choices from bad ones A demonstrated track record of delivering technical excellence to drive product and business impact A deep sense of care about your work and the people around you You will thrive in our work environment if You do well when given a high level of ownership over execution. We strive to set common and transparent priorities, provide full context, and give every team member the freedom to decide on the "how" You demonstrate unreasonable hospitality to prospects, clients, and teammates as a default You value candour, love feedback, and deliver it thoughtfully You are genuinely excited by the possibilities of applied AI, both as a technology to deploy and as a tool to enhance the developer workflow You are energized by the opportunity to build with a high performing team As an early team member, you'll be trusted and expected to actively contribute to the trajectory of our product and business. You'll be part of a team of exceptional people building something category-defining. ️ Hiring Process Intro call Technical Interview Final call Offer, Referencing, and Start
Apr 15, 2026
Full time
TL;DR Deducta is a fast-growing startup serving some of the world's largest and most recognizable companies. We are well funded and actively solving the most pressing business challenges in the modern enterprise. We are looking for a Senior Backend Engineer to be a leader in the design, building, and maintenance of our core systems. Specifically, you will be responsible for: Building and maintaining high-volume, low-latency APIs for enterprise grade data processing systems Shipping excellent code, fast Location: London, UK. Our office is located near London Bridge and we like to work in person. Comp: Total compensation for this role starts at £150k Visas: We will sponsor a visa for the right candidate to join us What is Deducta? Deducta is a data intelligence platform for global enterprises. We deliver unprecedented clarity into mission-critical data for the world's largest and most complex enterprises, starting with spend data. We are the leading edge for major business transformations. Our partners use Deducta to deliver results that matter, orders of magnitude faster. What is the Role? We ingest massive datasets containing critical enterprise knowledge from multiple sources and formats, and create structure where there was none previously. Our system leverages state-of-the-art LLMs to solve this problem with unprecedented accuracy, at previously unthinkable scales. As a Senior Backend Engineer, you will design, build, and maintain the backbone of our platform as it grows. What you'll do: Architect, build, and maintain data ingestion and processing engines with the scale and reliability to manage mission critical operations for the largest companies in the world Build and maintain ultra-fast, high volume, well documented APIs to enable these systems Drive business growth through a combination of ideation and experimentation to optimize our product, and front-line problem solving for our customers Collaborate closely with technical and non-technical teammates to understand our customers' problems and build products that solve them Success in this role means: Leading development efforts from idea inception to production Constantly driving improvements and new functionality Who will be the right fit? We're looking for a technically exceptional engineer who thrives with agency and ownership. You might be the right fit if you have Solid experience with object oriented programming in cloud environments (e.g. AWS, GCP, or Azure), with .NET experience being a plus Experience with SOLID, domain driven design, and Clean Architecture principles A passion for good software craft, strong intuition for distinguishing good technical debt from bad, and sense for distinguishing good architectural choices from bad ones A demonstrated track record of delivering technical excellence to drive product and business impact A deep sense of care about your work and the people around you You will thrive in our work environment if You do well when given a high level of ownership over execution. We strive to set common and transparent priorities, provide full context, and give every team member the freedom to decide on the "how" You demonstrate unreasonable hospitality to prospects, clients, and teammates as a default You value candour, love feedback, and deliver it thoughtfully You are genuinely excited by the possibilities of applied AI, both as a technology to deploy and as a tool to enhance the developer workflow You are energized by the opportunity to build with a high performing team As an early team member, you'll be trusted and expected to actively contribute to the trajectory of our product and business. You'll be part of a team of exceptional people building something category-defining. ️ Hiring Process Intro call Technical Interview Final call Offer, Referencing, and Start
