Vice President, Private Credit Investment Analytics Pantheon has been at the forefront of private markets investing for more than 40 years, earning a reputation for an innovative approach to investing in secondaries, co investments, and primary fund investments, as well as capital formation across commingled funds, evergreen vehicles and customized solutions. Pantheon currently manages approximately $82.3 billion in AUM across all its strategies, serving more than 750 institutional and 638 private wealth clients worldwide. The Vice President of Investment Analytics (Private Credit) will lead the development of Pantheon's private credit data and intelligence capability, transforming investment data into structured, decision ready insight for Portfolio Management teams. This role sits at the intersection of Investment, Data & Operations, and will focus on strengthening the firm's ability to generate consistent, comparable, and actionable intelligence from credit portfolio data - across funds, GPs, structures, and geographies. The VP will architect and operate scalable analytical frameworks that standardize how private credit data is defined, sourced, governed, and translated into insight. The role will partner closely with Investment Data Operations and Data Engineering teams to embed credit analytics into Pantheon's evolving data platforms, reducing reliance on bespoke spreadsheets and increasing transparency, comparability, and confidence. This is a high impact opportunity to shape Pantheon's private credit intelligence capability at a time of significant growth and platform transformation. Key Responsibilities Build private credit investment analytics across Pantheon to help evaluate and monitor investments. Act as a senior analytics partner to Investment and Portfolio Management teams, translating complex investment needs into structured data requirements and analytical frameworks. Own the definition, sourcing, and validation of investment relevant datasets, ensuring analytical outputs are complete, comparable, and decision ready. Deliver differentiated, investment grade insights by combining internal investment operations data with GP reported and external market data, moving beyond descriptive reporting to comparative, diagnostic, and thematic analysis. Serve as the primary data and analytics interface with GPs and external data/technology providers, shaping data standards, templates, and requirements to improve transparency, coverage, and usability. Operate Investment Analytics as a business facing function with a product mindset, creating a roadmap that prioritises initiatives based on investment impact, adoption, and measurable decision enablement. Lead, develop, and mentor a high performing Investment Analytics team, fostering disciplined delivery and strong stakeholder relationships. Knowledge & Experience Required Significant experience in private markets, with strong exposure to private credit, portfolio data, analytics or investment operations. Deep understanding of private credit structures, performance drivers, and portfolio monitoring. Strong analytical mindset with experience supporting investment or portfolio decision making. Strong understanding of data governance, comparability challenges, and portfolio transparency. Demonstrated ability to operate at both strategic and hands on levels. Proven ability to partner effectively with investment professionals and influence senior stakeholders. Strong written and verbal communication skills; able to articulate complex information clearly and concisely. Track record of delivering high quality outputs under tight timelines. Experience leading and developing teams in a collaborative environment. Experience with working with 3rd party providers, data vendors & offshore teams. Professional qualification (CFA, ACA, ACCA, IMC) or equivalent experience preferred but not essential. Familiarity with modern data environments and analytics tools (e.g., Power BI, SQL, Python, Databricks, Snowflake). Experience systemizing investment analytics within centralized data platforms. Exposure to automation or advanced analytical techniques to enhance portfolio monitoring. Demonstrated comfort integrating AI tools into daily analytical workflows (e.g., structured research, synthesis, data interrogation). Ability to evaluate AI outputs critically, refine prompts, and build repeatable AI assisted workflows. This job description is not to be construed as an exhaustive statement of duties, responsibilities, or requirements. You may be required to perform other job related duties as reasonably requested by your manager. Pantheon is an Equal Opportunities employer, we are committed to building a diverse and inclusive workforce so if you're excited about this role but your past experience doesn't perfectly align we'd still encourage you to apply.
Feb 22, 2026
Full time
Vice President, Private Credit Investment Analytics Pantheon has been at the forefront of private markets investing for more than 40 years, earning a reputation for an innovative approach to investing in secondaries, co investments, and primary fund investments, as well as capital formation across commingled funds, evergreen vehicles and customized solutions. Pantheon currently manages approximately $82.3 billion in AUM across all its strategies, serving more than 750 institutional and 638 private wealth clients worldwide. The Vice President of Investment Analytics (Private Credit) will lead the development of Pantheon's private credit data and intelligence capability, transforming investment data into structured, decision ready insight for Portfolio Management teams. This role sits at the intersection of Investment, Data & Operations, and will focus on strengthening the firm's ability to generate consistent, comparable, and actionable intelligence from credit portfolio data - across funds, GPs, structures, and geographies. The VP will architect and operate scalable analytical frameworks that standardize how private credit data is defined, sourced, governed, and translated into insight. The role will partner closely with Investment Data Operations and Data Engineering teams to embed credit analytics into Pantheon's evolving data platforms, reducing reliance on bespoke spreadsheets and increasing transparency, comparability, and confidence. This is a high impact opportunity to shape Pantheon's private credit intelligence capability at a time of significant growth and platform transformation. Key Responsibilities Build private credit investment analytics across Pantheon to help evaluate and monitor investments. Act as a senior analytics partner to Investment and Portfolio Management teams, translating complex investment needs into structured data requirements and analytical frameworks. Own the definition, sourcing, and validation of investment relevant datasets, ensuring analytical outputs are complete, comparable, and decision ready. Deliver differentiated, investment grade insights by combining internal investment operations data with GP reported and external market data, moving beyond descriptive reporting to comparative, diagnostic, and thematic analysis. Serve as the primary data and analytics interface with GPs and external data/technology providers, shaping data standards, templates, and requirements to improve transparency, coverage, and usability. Operate Investment Analytics as a business facing function with a product mindset, creating a roadmap that prioritises initiatives based on investment impact, adoption, and measurable decision enablement. Lead, develop, and mentor a high performing Investment Analytics team, fostering disciplined delivery and strong stakeholder relationships. Knowledge & Experience Required Significant experience in private markets, with strong exposure to private credit, portfolio data, analytics or investment operations. Deep understanding of private credit structures, performance drivers, and portfolio monitoring. Strong analytical mindset with experience supporting investment or portfolio decision making. Strong understanding of data governance, comparability challenges, and portfolio transparency. Demonstrated ability to operate at both strategic and hands on levels. Proven ability to partner effectively with investment professionals and influence senior stakeholders. Strong written and verbal communication skills; able to articulate complex information clearly and concisely. Track record of delivering high quality outputs under tight timelines. Experience leading and developing teams in a collaborative environment. Experience with working with 3rd party providers, data vendors & offshore teams. Professional qualification (CFA, ACA, ACCA, IMC) or equivalent experience preferred but not essential. Familiarity with modern data environments and analytics tools (e.g., Power BI, SQL, Python, Databricks, Snowflake). Experience systemizing investment analytics within centralized data platforms. Exposure to automation or advanced analytical techniques to enhance portfolio monitoring. Demonstrated comfort integrating AI tools into daily analytical workflows (e.g., structured research, synthesis, data interrogation). Ability to evaluate AI outputs critically, refine prompts, and build repeatable AI assisted workflows. This job description is not to be construed as an exhaustive statement of duties, responsibilities, or requirements. You may be required to perform other job related duties as reasonably requested by your manager. Pantheon is an Equal Opportunities employer, we are committed to building a diverse and inclusive workforce so if you're excited about this role but your past experience doesn't perfectly align we'd still encourage you to apply.
Data Science Manager page is loaded Data Science Managerlocations: London / Hybrid: Bexhill / Hybrid: Leicester / Hybridtime type: Full timeposted on: Posted Todayjob requisition id: Job Title: Data Science Manager Location: Bexhill/Leicester/London - Hybrid Welcome to Hastings Direct We're a digital insurance provider with ambitious plans to become the best and biggest in the UK market. We've made huge investments in our pricing and data capabilities over the past few years, along with nurturing our 4Cs culture.We provide insurance for over four million customers, but we know there's even bigger opportunity out there - our Pricing, Data and Analytics community value curiosity, collaboration and constructive challenge.We are always looking for new ideas and diverse perspectives to question established thinking and drive meaningful change. Great pricing is built on trust, innovation and precision, so our aim is to ensure customers receive a fair and accurate price based on their individual risk, supporting fair outcomes, while delivering sustainable and profitable growth for our company.Pricing is more than just a number - it's a strategic capability. At the heart of Hastings is deep risk insight - continually improving how we assess, segment and price risk through data and analytics. The Role: It's a very exciting time for us; we're transforming our business to become a truly data-led, digital first insurer, and we're looking for an Data Scientists to join us on our journey.The Senior Data Scientist will play a vital role in the evolution of cutting-edge data assets and predictive models that feed into Hastings' market-leading pricing activities.This will be a prominent role where the results of your contributions will be measurably felt in the performance of the business. We are looking for someone with an appetite for initiative, a curiosity for data exploration, and a desire to champion the latest machine learning (ML) techniques for creating production grade models. Accountabilities Your remit will include the following: Create and maintain analytical tools to support in the management of our risk portfolio. Develop best in-class models to predict claims outcomes, fraud and other risk KPIs. Engineer powerful new rating factors to be deployed into our rating algorithms. Identify, analyse and monetise new data sources. What we are looking for: Essential Experience building predictive models in a commercial environment. Keen interest in emerging ML techniques and their commercial value. Proficiency in Python and SQL. Strong communication skills. Ability to work cross-functionally with Data Engineers, Data Scientists, Actuaries and Pricing Analysts.Desirable Experience using cloud-based ML technologies. Proficiency in R. GitHub as a code collaboration tool.Personal Attributes Natural problem solver who loves building quality solutions to complex real-world challenges. Ability to work independently to deliver solutions to a well-defined set of requirements. Dynamic, flexible and delivery-focused work ethic required to adapt to a fast-paced environment Interview Process: Recruiter screening call1st Round - Intro call with Hiring manager2nd Round - Case study round What we will give you: Join us and you'll find a different way of doing things. We call it the 4Cs. We focus on getting it right for our colleagues, customers, company and community. As one of our colleagues, you'll be helping to drive our growth, so in return, we'll give you all the support, training and development you need. Not to mention plenty of recognition and rewards, and the scope to voice your ideas and put them into practice.As a Disability Confident employer, we're committed to ensuring our recruitment processes are fully inclusive - what this means to you is if you're applying for a job with us, you'll have fair access to support and adjustments throughout your recruitment journey. We also welcome applications through the Disability Confident Scheme (DCS).For more information on the DCS, please visit our inclusive business page on our career's website Benefits: in addition to a competitive salary and £5k car allowance you will also receive Flexible working - we champion a flexible hybrid working approach - please speak to your recruiter to discuss in more detail Competitive bonus scheme - all colleagues are eligible for our annual 4Cs performance bonus Physical wellbeing - as a Band 4 colleague, Hastings pay for you to receive private medical Insurance (also known as PMI). This gives you flexibility and convenience to see a specialist or consultant and allows you to decide when and where you will be seen Financial wellbeing - as well as providing you with 4x your salary with our life assurance cover, income protection at no extra cost, and matched pension contributions up to 10%, we are proud to provide you with an award-winning package which includes - discounts, cashback, free independent mortgage advice and free access to financial wellbeing support Mental wellbeing programme - we have the thrive mental health app, our colleague assistance programme available 24/7, our own in-house mental health first aiders, support groups and a dedicated team to make sure we are covering your needs There's more! - 27 days annual leave + bank holidays, with the option to buy or sell one of your weeks, access to our health care cash back plans, dental plans, discounted health assessments, Cycle to work and tech schemes, discounted and free onsite facilities, social events throughout the year and much more .Join us and you'll find a different way of doing things. We call it the 4Cs. We focus on getting it right for our colleagues, customers, company and community. As one of our colleagues, you'll be helping to drive our growth, so in return, we'll give you all the support, training and development you need. Our 4Cs principles are simple: we believe by creating the right culture for our colleagues and giving them the right tools to do their job, we'll deliver good outcomes for every customer, helping us to grow the company profitably and sustainably and allowing us to invest in the communities we serve.Hastings Group is an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status. Please also note that we have a thorough referencing process, which includes credit and criminal record checks.At Hastings Direct, we're committed to creating an inclusive environment where everyone has the opportunity to succeed. If you require any reasonable adjustments during the recruitment process, we encourage you to be open with us. Our recruitment team is here to provide the support you need to ensure a fair and accessible experience for all.Job posting end date:and check out the what we offer tab to learn more.Hastings Direct is a fast growing, agile, digitally focused general insurance provider of products and services to over 4 million customers in the UK, employing over 4,600 colleagues. Our vision - to be the best and biggest digital insurance provider in the market.It's our attitude and the way we run our business that makes us different. We focus on getting it right for our colleagues, customers, company and community. It's a dynamic, flexible, fun and constantly changing environment. You'll enjoy the scope to make a real difference for our customers, influence our company, benefit the communities we work in and have fun along the way.
Feb 22, 2026
Full time
Data Science Manager page is loaded Data Science Managerlocations: London / Hybrid: Bexhill / Hybrid: Leicester / Hybridtime type: Full timeposted on: Posted Todayjob requisition id: Job Title: Data Science Manager Location: Bexhill/Leicester/London - Hybrid Welcome to Hastings Direct We're a digital insurance provider with ambitious plans to become the best and biggest in the UK market. We've made huge investments in our pricing and data capabilities over the past few years, along with nurturing our 4Cs culture.We provide insurance for over four million customers, but we know there's even bigger opportunity out there - our Pricing, Data and Analytics community value curiosity, collaboration and constructive challenge.We are always looking for new ideas and diverse perspectives to question established thinking and drive meaningful change. Great pricing is built on trust, innovation and precision, so our aim is to ensure customers receive a fair and accurate price based on their individual risk, supporting fair outcomes, while delivering sustainable and profitable growth for our company.Pricing is more than just a number - it's a strategic capability. At the heart of Hastings is deep risk insight - continually improving how we assess, segment and price risk through data and analytics. The Role: It's a very exciting time for us; we're transforming our business to become a truly data-led, digital first insurer, and we're looking for an Data Scientists to join us on our journey.The Senior Data Scientist will play a vital role in the evolution of cutting-edge data assets and predictive models that feed into Hastings' market-leading pricing activities.This will be a prominent role where the results of your contributions will be measurably felt in the performance of the business. We are looking for someone with an appetite for initiative, a curiosity for data exploration, and a desire to champion the latest machine learning (ML) techniques for creating production grade models. Accountabilities Your remit will include the following: Create and maintain analytical tools to support in the management of our risk portfolio. Develop best in-class models to predict claims outcomes, fraud and other risk KPIs. Engineer powerful new rating factors to be deployed into our rating algorithms. Identify, analyse and monetise new data sources. What we are looking for: Essential Experience building predictive models in a commercial environment. Keen interest in emerging ML techniques and their commercial value. Proficiency in Python and SQL. Strong communication skills. Ability to work cross-functionally with Data Engineers, Data Scientists, Actuaries and Pricing Analysts.Desirable Experience using cloud-based ML technologies. Proficiency in R. GitHub as a code collaboration tool.Personal Attributes Natural problem solver who loves building quality solutions to complex real-world challenges. Ability to work independently to deliver solutions to a well-defined set of requirements. Dynamic, flexible and delivery-focused work ethic required to adapt to a fast-paced environment Interview Process: Recruiter screening call1st Round - Intro call with Hiring manager2nd Round - Case study round What we will give you: Join us and you'll find a different way of doing things. We call it the 4Cs. We focus on getting it right for our colleagues, customers, company and community. As one of our colleagues, you'll be helping to drive our growth, so in return, we'll give you all the support, training and development you need. Not to mention plenty of recognition and rewards, and the scope to voice your ideas and put them into practice.As a Disability Confident employer, we're committed to ensuring our recruitment processes are fully inclusive - what this means to you is if you're applying for a job with us, you'll have fair access to support and adjustments throughout your recruitment journey. We also welcome applications through the Disability Confident Scheme (DCS).For more information on the DCS, please visit our inclusive business page on our career's website Benefits: in addition to a competitive salary and £5k car allowance you will also receive Flexible working - we champion a flexible hybrid working approach - please speak to your recruiter to discuss in more detail Competitive bonus scheme - all colleagues are eligible for our annual 4Cs performance bonus Physical wellbeing - as a Band 4 colleague, Hastings pay for you to receive private medical Insurance (also known as PMI). This gives you flexibility and convenience to see a specialist or consultant and allows you to decide when and where you will be seen Financial wellbeing - as well as providing you with 4x your salary with our life assurance cover, income protection at no extra cost, and matched pension contributions up to 10%, we are proud to provide you with an award-winning package which includes - discounts, cashback, free independent mortgage advice and free access to financial wellbeing support Mental wellbeing programme - we have the thrive mental health app, our colleague assistance programme available 24/7, our own in-house mental health first aiders, support groups and a dedicated team to make sure we are covering your needs There's more! - 27 days annual leave + bank holidays, with the option to buy or sell one of your weeks, access to our health care cash back plans, dental plans, discounted health assessments, Cycle to work and tech schemes, discounted and free onsite facilities, social events throughout the year and much more .Join us and you'll find a different way of doing things. We call it the 4Cs. We focus on getting it right for our colleagues, customers, company and community. As one of our colleagues, you'll be helping to drive our growth, so in return, we'll give you all the support, training and development you need. Our 4Cs principles are simple: we believe by creating the right culture for our colleagues and giving them the right tools to do their job, we'll deliver good outcomes for every customer, helping us to grow the company profitably and sustainably and allowing us to invest in the communities we serve.Hastings Group is an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status. Please also note that we have a thorough referencing process, which includes credit and criminal record checks.At Hastings Direct, we're committed to creating an inclusive environment where everyone has the opportunity to succeed. If you require any reasonable adjustments during the recruitment process, we encourage you to be open with us. Our recruitment team is here to provide the support you need to ensure a fair and accessible experience for all.Job posting end date:and check out the what we offer tab to learn more.Hastings Direct is a fast growing, agile, digitally focused general insurance provider of products and services to over 4 million customers in the UK, employing over 4,600 colleagues. Our vision - to be the best and biggest digital insurance provider in the market.It's our attitude and the way we run our business that makes us different. We focus on getting it right for our colleagues, customers, company and community. It's a dynamic, flexible, fun and constantly changing environment. You'll enjoy the scope to make a real difference for our customers, influence our company, benefit the communities we work in and have fun along the way.
About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on Mistral AI participates in the E-Verify program Role Summary About the Research Engineering team. The team spans Platform (shared infra & clean code) and Embedded (inside research squads). Engineers can move along the research production spectrum as needs or interests evolve. Location Paris / London (hybrid) or remote from EU/UK What will you do Accelerate researchers by taking on the heavy parts of large scale ML pipelines and building robust tools. Interface cutting edge research with production: integrate checkpoints, streamline evaluation, and expose APIs. Conduct experiments on the latest deep learning techniques (sparsified 70 B + runs, distributed training on thousands of GPUs). Design, implement and benchmark ML algorithms; write clear, efficient code in Python. Deliver prototypes that become production grade components for Le Chat and our enterprise API. About you Master's or PhD in Computer Science (or equivalent proven track record). 4 + years working on large scale ML codebases. Hands on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed / FSDP / SLURM / K8s). Experience in deep learning, NLP or LLMs; bonus for CUDA or data pipeline chops. Strong software design instincts: testing, code review, CI/CD. Self starter, low ego, collaborative. Benefits France Competitive cash salary and equity Food: Daily lunch vouchers Sport: Monthly contribution to a Gympass subscription Transportation: Monthly contribution to a mobility pass ️ Health: Full health insurance for you and your family Parental: Generous parental leave policy Visa sponsorship UK Competitive cash salary and equity Insurance Transportation: Reimburse office parking charges, or £90 per month for public transport Sport: £90 per month reimbursement for gym membership Meal voucher: £200 monthly allowance for meals Pension plan: SmartPension (percentages are 5% Employee & 3% Employer) Tagged Clustering, Industry, Machine Learning, NLP, Parsing, United Kingdom Senior (5+ years of experience)
Feb 22, 2026
Full time
About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on Mistral AI participates in the E-Verify program Role Summary About the Research Engineering team. The team spans Platform (shared infra & clean code) and Embedded (inside research squads). Engineers can move along the research production spectrum as needs or interests evolve. Location Paris / London (hybrid) or remote from EU/UK What will you do Accelerate researchers by taking on the heavy parts of large scale ML pipelines and building robust tools. Interface cutting edge research with production: integrate checkpoints, streamline evaluation, and expose APIs. Conduct experiments on the latest deep learning techniques (sparsified 70 B + runs, distributed training on thousands of GPUs). Design, implement and benchmark ML algorithms; write clear, efficient code in Python. Deliver prototypes that become production grade components for Le Chat and our enterprise API. About you Master's or PhD in Computer Science (or equivalent proven track record). 4 + years working on large scale ML codebases. Hands on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed / FSDP / SLURM / K8s). Experience in deep learning, NLP or LLMs; bonus for CUDA or data pipeline chops. Strong software design instincts: testing, code review, CI/CD. Self starter, low ego, collaborative. Benefits France Competitive cash salary and equity Food: Daily lunch vouchers Sport: Monthly contribution to a Gympass subscription Transportation: Monthly contribution to a mobility pass ️ Health: Full health insurance for you and your family Parental: Generous parental leave policy Visa sponsorship UK Competitive cash salary and equity Insurance Transportation: Reimburse office parking charges, or £90 per month for public transport Sport: £90 per month reimbursement for gym membership Meal voucher: £200 monthly allowance for meals Pension plan: SmartPension (percentages are 5% Employee & 3% Employer) Tagged Clustering, Industry, Machine Learning, NLP, Parsing, United Kingdom Senior (5+ years of experience)
Im reaching out regarding an urgent contract opportunity for a Senior Snowflake (SVOW) Designer based in London (3 days/week onsite) . Contract Details: Duration: 46 months (extendable) Start: Immediate joiners preferred Location: London (3 days/week) Key Skills Required: Strong hands-on experience with Snowflake and DBT (must be able to articulate use cases delivered) Python for data engineering and orch click apply for full job details
Feb 21, 2026
Contractor
Im reaching out regarding an urgent contract opportunity for a Senior Snowflake (SVOW) Designer based in London (3 days/week onsite) . Contract Details: Duration: 46 months (extendable) Start: Immediate joiners preferred Location: London (3 days/week) Key Skills Required: Strong hands-on experience with Snowflake and DBT (must be able to articulate use cases delivered) Python for data engineering and orch click apply for full job details
Job Title: Senior Electronics Test Engineer Location: Greater Manchester Salary: Up to £65k (depending on experience) We're looking for an experienced Electronics Test Engineer to take ownership of defining and delivering effective test approaches for complex electronic hardware. This role is central to maintaining high standards of performance, reliability, and product quality through comprehensive verification and validation work. The position is highly hands-on, involving day-to-day collaboration with multi-disciplinary teams. About the role: Design and create custom test fixtures and automated solutions to support R&D, production, and field validation. Lead debugging and root cause analysis of complex hardware issues. Develop, apply, and maintain test plans and setups for electronic assemblies and systems. Collaborate with hardware and firmware engineers to influence a Design for Test (DfT) approach. Analyse test data to identify performance trends, failure modes, and areas for design improvement. Liaise with external suppliers to review specifications, integration approaches, and quality requirements. Produce accurate technical documentation, including test reports, procedures, failure analyses, and coverage metrics. Provide technical guidance and mentoring to junior engineers and technicians on test methodologies and equipment usage. About you: Degree in Electronics Engineering, or a related discipline. 5+ years experience in an electronics test position. Proficiency with test and measurement equipment such as oscilloscopes, logic analysers, and power meters. Experience developing automated test solutions using tools such as LabVIEW, Python, or MATLAB. Strong understanding of analogue and digital electronics and embedded systems. Understanding of EMI/EMC standards and considerations. Strong written and verbal communication skills. Comfortable working in fast-paced, multidisciplinary engineering teams. Please note, we cannot offer sponsorship for the role. If interested, please send over an updated CV.
Feb 21, 2026
Full time
Job Title: Senior Electronics Test Engineer Location: Greater Manchester Salary: Up to £65k (depending on experience) We're looking for an experienced Electronics Test Engineer to take ownership of defining and delivering effective test approaches for complex electronic hardware. This role is central to maintaining high standards of performance, reliability, and product quality through comprehensive verification and validation work. The position is highly hands-on, involving day-to-day collaboration with multi-disciplinary teams. About the role: Design and create custom test fixtures and automated solutions to support R&D, production, and field validation. Lead debugging and root cause analysis of complex hardware issues. Develop, apply, and maintain test plans and setups for electronic assemblies and systems. Collaborate with hardware and firmware engineers to influence a Design for Test (DfT) approach. Analyse test data to identify performance trends, failure modes, and areas for design improvement. Liaise with external suppliers to review specifications, integration approaches, and quality requirements. Produce accurate technical documentation, including test reports, procedures, failure analyses, and coverage metrics. Provide technical guidance and mentoring to junior engineers and technicians on test methodologies and equipment usage. About you: Degree in Electronics Engineering, or a related discipline. 5+ years experience in an electronics test position. Proficiency with test and measurement equipment such as oscilloscopes, logic analysers, and power meters. Experience developing automated test solutions using tools such as LabVIEW, Python, or MATLAB. Strong understanding of analogue and digital electronics and embedded systems. Understanding of EMI/EMC standards and considerations. Strong written and verbal communication skills. Comfortable working in fast-paced, multidisciplinary engineering teams. Please note, we cannot offer sponsorship for the role. If interested, please send over an updated CV.
Engineering Strategy and Standards: Co-Define with Strategy and Architecture team and champion the long-term technical vision and technology strategy for the department's services and platforms, ensuring alignment with central government technology policies (e.g., cloud-first, open standards). Work with Heads of (Architecture, Delivery, Testing, Product) to implement the digital strategy using best practices Establish and enforce best practices in CI/CD, SRE, TDD, and secure coding (OWASP). Modernisation: Drive the roadmap for retiring legacy systems (e.g., migration of legacy portals to an Integrated Procurement Platform) while managing technical debt. Open Standards: Ensure all software is "Open by Default," promoting re-use across the Civil Service and alignment with the Technology Code of Practice. Be the ultimate owner of engineering quality, setting robust standards for clean code, test-driven development (TDD), CI/CD, and Site Reliability Engineering (SRE) practices across all engineering teams. Lead the development and modernisation of complex, large-scale systems, including integrating with legacy government systems Ensure all software development meets the high standards of the Government Service Manual and passes all relevant Digital Service Assessments (Alpha, Beta, Live). Build the Community: Act as the "Head of Profession" for software engineering, fostering a culture of continuous learning, psychological safety, and radical collaboration. Capability Building: Lead recruitment, retention, and career development strategies. Define the "Definition of Done" and engineering excellence standards across all multidisciplinary teams. Establish and evolve the department's DDaT (Digital, Data and Technology) Engineering Capability, defining clear career pathways, skills matrices, and professional development plans (including coaching and recruitment). Mentorship: Coach Lead Developers and Senior Engineers, helping them grow into strategic technical leaders. Line management and Activity management: Manage the development team of perm staff and Manage a balanced mix of civil service and third party resources, ensuring knowledge transfer, transition planning is built in technical delivery plans and building a sustainable in-house technical team. Technical Depth: Proven experience in a senior engineering role (e.g., Head of Engineering, Lead Developer or Architect) building large-scale, distributed systems using modern languages (e.g., Java, Python, Node.js) and cloud infrastructure (AWS/Azure/Google) in UK Civil service or similar public sector environment. Leadership: Experience managing "managers of managers" and leading large (20+ person) multidisciplinary engineering functions. Strategic Vision: Ability to translate complex policy requirements into sustainable technical roadmaps. Stakeholder Influence: Experience in communicating technical risks and trade-offs to non-technical senior leaders (Directors and Ministers). Competitive salary Generous pension scheme A discretionary non-contractual performance related bonus Working remotely in addition to working in advertised office location Flexi time scheme (available for B1-B6) - Remove this bullet for SCS roles Minimum 25 days annual leave to a maximum service related 30 days excluding bank holidaysArtificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our for more information on appropriate and inappropriate use . Crown Commercial Service (CCS) is the largest public procurement organisation in the UK. With over 800 staff, we help thousands of public and third sector buyers in the UK with billions of pounds of spending each year. We have a wide range of commercial agreements to help our customers buy what they need, when they need it - saving time and money.
Feb 21, 2026
Full time
Engineering Strategy and Standards: Co-Define with Strategy and Architecture team and champion the long-term technical vision and technology strategy for the department's services and platforms, ensuring alignment with central government technology policies (e.g., cloud-first, open standards). Work with Heads of (Architecture, Delivery, Testing, Product) to implement the digital strategy using best practices Establish and enforce best practices in CI/CD, SRE, TDD, and secure coding (OWASP). Modernisation: Drive the roadmap for retiring legacy systems (e.g., migration of legacy portals to an Integrated Procurement Platform) while managing technical debt. Open Standards: Ensure all software is "Open by Default," promoting re-use across the Civil Service and alignment with the Technology Code of Practice. Be the ultimate owner of engineering quality, setting robust standards for clean code, test-driven development (TDD), CI/CD, and Site Reliability Engineering (SRE) practices across all engineering teams. Lead the development and modernisation of complex, large-scale systems, including integrating with legacy government systems Ensure all software development meets the high standards of the Government Service Manual and passes all relevant Digital Service Assessments (Alpha, Beta, Live). Build the Community: Act as the "Head of Profession" for software engineering, fostering a culture of continuous learning, psychological safety, and radical collaboration. Capability Building: Lead recruitment, retention, and career development strategies. Define the "Definition of Done" and engineering excellence standards across all multidisciplinary teams. Establish and evolve the department's DDaT (Digital, Data and Technology) Engineering Capability, defining clear career pathways, skills matrices, and professional development plans (including coaching and recruitment). Mentorship: Coach Lead Developers and Senior Engineers, helping them grow into strategic technical leaders. Line management and Activity management: Manage the development team of perm staff and Manage a balanced mix of civil service and third party resources, ensuring knowledge transfer, transition planning is built in technical delivery plans and building a sustainable in-house technical team. Technical Depth: Proven experience in a senior engineering role (e.g., Head of Engineering, Lead Developer or Architect) building large-scale, distributed systems using modern languages (e.g., Java, Python, Node.js) and cloud infrastructure (AWS/Azure/Google) in UK Civil service or similar public sector environment. Leadership: Experience managing "managers of managers" and leading large (20+ person) multidisciplinary engineering functions. Strategic Vision: Ability to translate complex policy requirements into sustainable technical roadmaps. Stakeholder Influence: Experience in communicating technical risks and trade-offs to non-technical senior leaders (Directors and Ministers). Competitive salary Generous pension scheme A discretionary non-contractual performance related bonus Working remotely in addition to working in advertised office location Flexi time scheme (available for B1-B6) - Remove this bullet for SCS roles Minimum 25 days annual leave to a maximum service related 30 days excluding bank holidaysArtificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our for more information on appropriate and inappropriate use . Crown Commercial Service (CCS) is the largest public procurement organisation in the UK. With over 800 staff, we help thousands of public and third sector buyers in the UK with billions of pounds of spending each year. We have a wide range of commercial agreements to help our customers buy what they need, when they need it - saving time and money.
We are supporting an award winning, innovative international manufacturer with their recruitment of a Senior Electronics Design Engineer. This business has enviable staff retention and a long history of developing the careers of ambitions people. Reporting to the Head of Engineering and NPD, this role is to be a senior figure in the team for electronic product development, driving new product development with the latest technologies and approvals and maintaining and supporting the existing portfolio with ways of improving for next gen products and the process of delivery. Install and embed electronics development area Design new enhanced developments and management of existing control systems as required Project manage from concept to production including control of EMC and safety testing of designs and ongoing certification and testing of products. Transition and support from existing external resource current developments. Liaise with established offshore PCBA vendors Future mentoring of additional resource to assist in the enhanced development activities You: Electronic design of analogue and digital circuits, instrumentation, sensors and displays Control of PCB design 8 years' experience of relevant industry experience in an R&D or development environment. Degree or equivalent in electronics design Project Management Ability to find and understand and apply the latest technologies Strong product standards and compliance understanding Desirables: People management PCB layout design CAD Electrical skills Familiar with Welmec 7.2, EMC requirements Python Please apply for immediate consideration. At Adept Resourcing - Commercial & Engineering, we specialise in connecting companies with top talent that drives innovation, growth and success. With our industry expertise, extensive network and personalised approach, we're here to help you. JBRP1_UKTJ
Feb 21, 2026
Full time
We are supporting an award winning, innovative international manufacturer with their recruitment of a Senior Electronics Design Engineer. This business has enviable staff retention and a long history of developing the careers of ambitions people. Reporting to the Head of Engineering and NPD, this role is to be a senior figure in the team for electronic product development, driving new product development with the latest technologies and approvals and maintaining and supporting the existing portfolio with ways of improving for next gen products and the process of delivery. Install and embed electronics development area Design new enhanced developments and management of existing control systems as required Project manage from concept to production including control of EMC and safety testing of designs and ongoing certification and testing of products. Transition and support from existing external resource current developments. Liaise with established offshore PCBA vendors Future mentoring of additional resource to assist in the enhanced development activities You: Electronic design of analogue and digital circuits, instrumentation, sensors and displays Control of PCB design 8 years' experience of relevant industry experience in an R&D or development environment. Degree or equivalent in electronics design Project Management Ability to find and understand and apply the latest technologies Strong product standards and compliance understanding Desirables: People management PCB layout design CAD Electrical skills Familiar with Welmec 7.2, EMC requirements Python Please apply for immediate consideration. At Adept Resourcing - Commercial & Engineering, we specialise in connecting companies with top talent that drives innovation, growth and success. With our industry expertise, extensive network and personalised approach, we're here to help you. JBRP1_UKTJ
Location Hybrid, with a minimum of 20% in the Oxford and London offices per month About Us We'reNominet - a world-leading domain name registryoperatingat the heart of the UK internet. Whilewe'rebest known for running .UK domains, our DNSexpertisealso underpins critical internet infrastructure that government services, including the NHS, rely on. As a public benefit company, our work has a positive impact on society. Alongside our work as the national domain name registry, we support programmes that use technology to improve people's lives by making the internet safe and resilient. The Role As the Head ofEngineeringfor DNS servicesat Nominet, you will lead a core technology engineering team to deliver industry-leadingsystems for the internet.This is a critical role with responsibility for engineering one of Nominet'smain businesslines. You will manage a highly skilled team who are either deep experts in the Domain Name System (DNS)or software engineers who will develop custom applicationsandautomationwhichunderpinsour DNS Services. This role requires a good understanding of distributed systems and modern software engineering and would suit someone from a Site Reliability Engineering or DevSecOps background with extensive experience in managing mission-critical systems based on open source software. To be successful in this role, you will need to build on our existing DNS product and balance service delivery with the broader strategic goals of the organisation. You will take a data-driven approach to technology and have a relentless focus on simplicity and working software. This way of working will inform your decision-making and provide a feedback loop to drive incremental improvements. Overall, youwill be a natural problem solver with the mindset for excellence across the entire software development lifecycle - architecture, engineering, and into operations. What You'll Be Doing Lead the DNS Engineering function: Manage and mentor engineers, fostering a collaborative and innovative team culture. Technical leadership: Partner with senior DNS experts to guide the design, delivery, and operation of Nominet's DNS products and services, ensuring they are robust, scalable, and aligned with industry best practices. Design authority alignment: Work closely with DNS architects and principal engineers to ensure expert thinking is embedded in our products and services. Strategic direction: Collaborate with the CTO, Technology Leadership Team, Architecture, and Product to shape and deliver the DNS strategy. Software and service design: Ensure DNS software and services meet current and future business needs, with a focus on innovation and continuous improvement. Project delivery: Deliver DNS initiatives on time, within budget, and to high quality standards, managing risk and ensuring rigorous testing. Operational excellence: Ensure DNS services meet or exceed SLAs for uptime and performance through proactive monitoring, maintenance, and optimisation. Stakeholder collaboration: Work closely with Network Engineering, Security, Platforms, and SRE to ensure DNS services are fully integrated and aligned with organisational goals. People development: Recruit, develop, and retain top DNS talent, fostering continuous learning and keeping skills aligned with advances in DNS technology. About You 7+ years of engineering experience with 3+ years in senior leadership roles, ideally within telco, internet, or service provider environments, or alternatively in near real-time, distributed, or streaming systems. Strong understanding of Linux-based systems and cloud platforms (AWS preferred). Hands-on experience designing and managing large-scale distributed systems, web applications, and microservices. Knowledge of distributed architectures, internet protocols, and networking fundamentals (IP addressing, routing, load balancing). Knowledge of BGP and IP Anycast a plus. Strong software engineering background (Java, Python, or similar). Experience developing and commercialising solutions/products. Understanding of security practices, including encryption, DDOS mitigation, and working in highly secure environments. Data and analytics expertise with the ability to translate insights into strategic decisions. Proven experience in system design, planning, organisation, and full product lifecycle management. Familiarity with Agile development methodology. Adaptable, flexible, and able to thrive in evolving Dev/Ops environments; motivated to learn and embrace new challenges. What To Expect Next 1st stage: Introduction call with a member of the TA team (30-45 mins) 2nd Stage: Hiring Manager and Leadership Capability Interview (60 mins) 3rd Stage: Technical Deep Dive (60 mins) 4th Stage: Psychometric Assessment, System Design Interview & Exec Interview (90 mins) What We Offer Hybrid & Flexible Working Early Finish Friday - Working week of 34 hours with full-time pay. (Finish at midday on Friday) 30 days of annual leave plus bank holidays, with the ability to purchase an additional 5 days. Private Medical Insurance + Employee Assistance Programme Pension Scheme (Matched to 7%) Annual Bonus Scheme Family Leave (Enhanced) Electric vehicle scheme with on-site charging points Rewards platform with access to discounts at hundreds of shops, restaurants etc. Diversity Statement We're passionate about creating a workplace where every individual is valued, respected, and empowered. Somewhere we can benefit from all forms of diversity and discover the true value in our differences. If there are any adjustments we could make to the recruitment and selection process to support you, please let us know Security Statement Nominet is committed to the safeguarding and welfare of the internet and expects all employees and volunteers to share this commitment by participating in the relevant security and screening processes. All roles working for Nominet will be subject to a Baseline Personnel Security Standard (BPSS) check. Some roles due to the nature of their work, will require additional security clearance. Job Segment Open Source, Embedded, Cloud, Testing, Linux, Technology
Feb 21, 2026
Full time
Location Hybrid, with a minimum of 20% in the Oxford and London offices per month About Us We'reNominet - a world-leading domain name registryoperatingat the heart of the UK internet. Whilewe'rebest known for running .UK domains, our DNSexpertisealso underpins critical internet infrastructure that government services, including the NHS, rely on. As a public benefit company, our work has a positive impact on society. Alongside our work as the national domain name registry, we support programmes that use technology to improve people's lives by making the internet safe and resilient. The Role As the Head ofEngineeringfor DNS servicesat Nominet, you will lead a core technology engineering team to deliver industry-leadingsystems for the internet.This is a critical role with responsibility for engineering one of Nominet'smain businesslines. You will manage a highly skilled team who are either deep experts in the Domain Name System (DNS)or software engineers who will develop custom applicationsandautomationwhichunderpinsour DNS Services. This role requires a good understanding of distributed systems and modern software engineering and would suit someone from a Site Reliability Engineering or DevSecOps background with extensive experience in managing mission-critical systems based on open source software. To be successful in this role, you will need to build on our existing DNS product and balance service delivery with the broader strategic goals of the organisation. You will take a data-driven approach to technology and have a relentless focus on simplicity and working software. This way of working will inform your decision-making and provide a feedback loop to drive incremental improvements. Overall, youwill be a natural problem solver with the mindset for excellence across the entire software development lifecycle - architecture, engineering, and into operations. What You'll Be Doing Lead the DNS Engineering function: Manage and mentor engineers, fostering a collaborative and innovative team culture. Technical leadership: Partner with senior DNS experts to guide the design, delivery, and operation of Nominet's DNS products and services, ensuring they are robust, scalable, and aligned with industry best practices. Design authority alignment: Work closely with DNS architects and principal engineers to ensure expert thinking is embedded in our products and services. Strategic direction: Collaborate with the CTO, Technology Leadership Team, Architecture, and Product to shape and deliver the DNS strategy. Software and service design: Ensure DNS software and services meet current and future business needs, with a focus on innovation and continuous improvement. Project delivery: Deliver DNS initiatives on time, within budget, and to high quality standards, managing risk and ensuring rigorous testing. Operational excellence: Ensure DNS services meet or exceed SLAs for uptime and performance through proactive monitoring, maintenance, and optimisation. Stakeholder collaboration: Work closely with Network Engineering, Security, Platforms, and SRE to ensure DNS services are fully integrated and aligned with organisational goals. People development: Recruit, develop, and retain top DNS talent, fostering continuous learning and keeping skills aligned with advances in DNS technology. About You 7+ years of engineering experience with 3+ years in senior leadership roles, ideally within telco, internet, or service provider environments, or alternatively in near real-time, distributed, or streaming systems. Strong understanding of Linux-based systems and cloud platforms (AWS preferred). Hands-on experience designing and managing large-scale distributed systems, web applications, and microservices. Knowledge of distributed architectures, internet protocols, and networking fundamentals (IP addressing, routing, load balancing). Knowledge of BGP and IP Anycast a plus. Strong software engineering background (Java, Python, or similar). Experience developing and commercialising solutions/products. Understanding of security practices, including encryption, DDOS mitigation, and working in highly secure environments. Data and analytics expertise with the ability to translate insights into strategic decisions. Proven experience in system design, planning, organisation, and full product lifecycle management. Familiarity with Agile development methodology. Adaptable, flexible, and able to thrive in evolving Dev/Ops environments; motivated to learn and embrace new challenges. What To Expect Next 1st stage: Introduction call with a member of the TA team (30-45 mins) 2nd Stage: Hiring Manager and Leadership Capability Interview (60 mins) 3rd Stage: Technical Deep Dive (60 mins) 4th Stage: Psychometric Assessment, System Design Interview & Exec Interview (90 mins) What We Offer Hybrid & Flexible Working Early Finish Friday - Working week of 34 hours with full-time pay. (Finish at midday on Friday) 30 days of annual leave plus bank holidays, with the ability to purchase an additional 5 days. Private Medical Insurance + Employee Assistance Programme Pension Scheme (Matched to 7%) Annual Bonus Scheme Family Leave (Enhanced) Electric vehicle scheme with on-site charging points Rewards platform with access to discounts at hundreds of shops, restaurants etc. Diversity Statement We're passionate about creating a workplace where every individual is valued, respected, and empowered. Somewhere we can benefit from all forms of diversity and discover the true value in our differences. If there are any adjustments we could make to the recruitment and selection process to support you, please let us know Security Statement Nominet is committed to the safeguarding and welfare of the internet and expects all employees and volunteers to share this commitment by participating in the relevant security and screening processes. All roles working for Nominet will be subject to a Baseline Personnel Security Standard (BPSS) check. Some roles due to the nature of their work, will require additional security clearance. Job Segment Open Source, Embedded, Cloud, Testing, Linux, Technology
A major financial services firm in Glasgow is seeking a Site Reliability Engineer III to manage AWS and Data platforms. You will optimize applications and infrastructure while implementing best practices in site reliability engineering. The ideal candidate will have strong skills in Python scripting, familiarity with various monitoring tools, and a solid understanding of observability principles. This position calls for a proactive individual ready to contribute to team culture and operational excellence.
Feb 21, 2026
Full time
A major financial services firm in Glasgow is seeking a Site Reliability Engineer III to manage AWS and Data platforms. You will optimize applications and infrastructure while implementing best practices in site reliability engineering. The ideal candidate will have strong skills in Python scripting, familiarity with various monitoring tools, and a solid understanding of observability principles. This position calls for a proactive individual ready to contribute to team culture and operational excellence.
Motorola Solutions values your privacy .Senior Software Engineer page is loaded Senior Software Engineerlocations: Uxbridge, UK (ZUK131): United Kingdom Offsite (ZUK99)time type: Full timeposted on: Posted Todayjob requisition id: R59392 Company Overview At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that's critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future. Department Overview Motorola Solutions' Avigilon Alta Video brings Cloud video security systems to the next level. Alta's cloud-based video surveillance solution offers industry leading full AI video analytics and exceptional operational insights. The Alta Video engineering team injects intelligence into their approach to security and all their solutions. They help organisations see, understand, and act on their surroundings to protect people, business, and reputation in real-time. Job Description Please note, this is a hybrid role based out of the Uxbridge office for 1 to 2 days a week. The Backend team develops the core of the Alta Video Management System. These are Cloud based distributed systems monitoring and managing Video Cameras, Access Control Systems and Sensors. The Backend team is responsible for analyzing, developing, designing, and maintaining the entire backend ecosystem. This includes developing new features, adding capabilities and increasing capacities, along with maintaining the existing CI/CD systems and customer deployments.We are an agile team that prides ourselves in allowing great autonomy and valuing collaboration, quality and security throughout. Basic RequirementsYou're not expected to have all of the following skills, but they will be useful in performing your job. We are looking for someone who: Has experience working as a software developer. Has experience in building the backend for large cloud based distributed systems. Has experience of a backend language such as Go, C++, Java, Rust or Python. Wants a career where their creative abilities will make a difference to the world of technology and where they will be part of an impressive R&D environment. Is passionate about writing high-quality code. Can demonstrate outstanding technical ability. We default to programming using Go, but also use a wide variety of different languages and frameworks. It's not expected that you would be familiar with Go (or any of the other languages we use) but you should be enthusiastic and willing to learn new things. It is also considered a bonus if you have: Understanding of service-oriented architectures and building cloud-based products. Experience with Machine Learning, Computer Vision, AI technologies. We are looking for a team player who thinks holistically, enjoys solving complex problems and thrives working autonomously, while not afraid to ask for input and learn from their teammates if they're stuck. In return for your expertise, we'll support you in this new challenge with coaching & development every step of the way. Also, to reward your hard work you'll get: Competitive salary and bonus schemes. Two weeks additional pay per year (holiday bonus). 25 days holiday entitlement + bank holidays. Attractive defined contribution pension scheme. Employee stock purchase plan. Flexible working options. Private medical care. Life assurance. Enhanced maternity and paternity pay. Career development support and wide ranging learning opportunities. Employee health and wellbeing support EAP, wellbeing guidance etc. Carbon neutral initiatives/goals. Corporate social responsibility initiatives including support for volunteering days. Well known companies discount scheme. Travel RequirementsUnder 10% Relocation ProvidedNone Position TypeExperienced Referral Payment PlanYes Company Motorola Solutions UK Limited EEO Statement Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you'd like to join our team but feel that you don't quite meet all of the preferred skills, we'd still love to hear why you think you'd be a great addition to our team.
Feb 21, 2026
Full time
Motorola Solutions values your privacy .Senior Software Engineer page is loaded Senior Software Engineerlocations: Uxbridge, UK (ZUK131): United Kingdom Offsite (ZUK99)time type: Full timeposted on: Posted Todayjob requisition id: R59392 Company Overview At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that's critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future. Department Overview Motorola Solutions' Avigilon Alta Video brings Cloud video security systems to the next level. Alta's cloud-based video surveillance solution offers industry leading full AI video analytics and exceptional operational insights. The Alta Video engineering team injects intelligence into their approach to security and all their solutions. They help organisations see, understand, and act on their surroundings to protect people, business, and reputation in real-time. Job Description Please note, this is a hybrid role based out of the Uxbridge office for 1 to 2 days a week. The Backend team develops the core of the Alta Video Management System. These are Cloud based distributed systems monitoring and managing Video Cameras, Access Control Systems and Sensors. The Backend team is responsible for analyzing, developing, designing, and maintaining the entire backend ecosystem. This includes developing new features, adding capabilities and increasing capacities, along with maintaining the existing CI/CD systems and customer deployments.We are an agile team that prides ourselves in allowing great autonomy and valuing collaboration, quality and security throughout. Basic RequirementsYou're not expected to have all of the following skills, but they will be useful in performing your job. We are looking for someone who: Has experience working as a software developer. Has experience in building the backend for large cloud based distributed systems. Has experience of a backend language such as Go, C++, Java, Rust or Python. Wants a career where their creative abilities will make a difference to the world of technology and where they will be part of an impressive R&D environment. Is passionate about writing high-quality code. Can demonstrate outstanding technical ability. We default to programming using Go, but also use a wide variety of different languages and frameworks. It's not expected that you would be familiar with Go (or any of the other languages we use) but you should be enthusiastic and willing to learn new things. It is also considered a bonus if you have: Understanding of service-oriented architectures and building cloud-based products. Experience with Machine Learning, Computer Vision, AI technologies. We are looking for a team player who thinks holistically, enjoys solving complex problems and thrives working autonomously, while not afraid to ask for input and learn from their teammates if they're stuck. In return for your expertise, we'll support you in this new challenge with coaching & development every step of the way. Also, to reward your hard work you'll get: Competitive salary and bonus schemes. Two weeks additional pay per year (holiday bonus). 25 days holiday entitlement + bank holidays. Attractive defined contribution pension scheme. Employee stock purchase plan. Flexible working options. Private medical care. Life assurance. Enhanced maternity and paternity pay. Career development support and wide ranging learning opportunities. Employee health and wellbeing support EAP, wellbeing guidance etc. Carbon neutral initiatives/goals. Corporate social responsibility initiatives including support for volunteering days. Well known companies discount scheme. Travel RequirementsUnder 10% Relocation ProvidedNone Position TypeExperienced Referral Payment PlanYes Company Motorola Solutions UK Limited EEO Statement Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you'd like to join our team but feel that you don't quite meet all of the preferred skills, we'd still love to hear why you think you'd be a great addition to our team.
Job Title: Senior Digital Technologist Employment Type: Full-Time, Permanent Salary: Up to 52,000 per annum (Depending on experience) Location: Northeast England (Hybrid role) We are working with a highly innovative organisation tasked to bring the UK to the forefront of innovation. This role sits within the Digital and Automation team and we are looking for a technical leader at the intersection of domain science and data science who has strong experience of developing Collaborative Research and Development (CR&D) bids. This experience will be vital to support the business in solving complex problems in the formulation industries including pharmaceuticals, batteries, sustainability, nanotherapeutics, home and personal care, and food and feed. Using your background, you will, actively, and successfully, lead initiatives related to business development and collaborative research funding of which prior experience is an imperative. The Role: To plan, undertake, and lead digital projects. To drive business and project growth using our digital capabilities. To partner with relevant functions of the organisation, the automation team and other formulation teams, to build, advance and make digital capabilities available within the organisation. Predictive Modelling & Machine Learning:Applying techniques such as model predictive control, PCA, clustering, PLS, and neural networks to optimize formulation development and predict material properties. Soft Sensors & Real-Time Process Analytics: Developing soft sensors and edge-sensing solutions to monitor particle size, viscosity, and other critical inline measurements for smarter, data-driven manufacturing. Data Automation, Scripting & Visualization: Leveraging automated data processing, scripting, and interactive visualization to uncover insights, streamline workflows, and support sustainability goals. Design of Experiments & Bayesian Optimization: Implementing Bayesian and state-of-the-art approaches to maximize experiment efficiency and accelerate material and process development. Materials Informatics & AI-Assisted Formulation: Using clustering, correlation analysis, and AI to identify best candidates for new materials, predict stability, and guide formulation decisions. Robotic Lab Automation: Designing intelligent robotic workflows that combine cobot programming with machine vision and data-driven models to automate laboratory actions, enhance process monitoring, and support real-time decision-making. Knowledge Management & Enterprise Systems: Developing ontologies, knowledge graphs, and robust database/version control systems to support reproducible research and enterprise-scale data integration. Required experience: Educated to a minimum of a foundation degree (or equivalent) in a Scientific/Mathematical/Engineering discipline, with industrial/academic experience at a senior level. Significant, technical expertise in data science and evidence of complex technical problem-solving where it is necessary to use own initiative and judgement. Hold significant knowledge and experience of coding languages typically used for data science (e.g. python, R, MATLAB). Able to support/generate commercial and collaborative business on behalf the automation and digital team. Exhibit professional mastery of principles and practices in data science techniques gained through your career to date in an area of specialism. Demonstrate in-depth technical and theoretical knowledge in mathematics related to data science and is viewed as a specialist in this area by peers. SRG are the UK number 1 recruitment company specialising in the science, engineering, clinical, pharmaceutical, food/FMCG, renewable, biotech, chemicals and medical devices sectors. As scientists ourselves, our specialist sector knowledge and our passion are second to none. It's this combination that makes us different. We're committed to providing outstanding temporary, contract and permanent career opportunities of all levels for our candidates and a comprehensive range of expert strategic recruitment services for our clients. If you have a scientific background and this position is not relevant / suitable for you please feel free to get in touch or visit (url removed) to view our other vacancies. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Feb 20, 2026
Full time
Job Title: Senior Digital Technologist Employment Type: Full-Time, Permanent Salary: Up to 52,000 per annum (Depending on experience) Location: Northeast England (Hybrid role) We are working with a highly innovative organisation tasked to bring the UK to the forefront of innovation. This role sits within the Digital and Automation team and we are looking for a technical leader at the intersection of domain science and data science who has strong experience of developing Collaborative Research and Development (CR&D) bids. This experience will be vital to support the business in solving complex problems in the formulation industries including pharmaceuticals, batteries, sustainability, nanotherapeutics, home and personal care, and food and feed. Using your background, you will, actively, and successfully, lead initiatives related to business development and collaborative research funding of which prior experience is an imperative. The Role: To plan, undertake, and lead digital projects. To drive business and project growth using our digital capabilities. To partner with relevant functions of the organisation, the automation team and other formulation teams, to build, advance and make digital capabilities available within the organisation. Predictive Modelling & Machine Learning:Applying techniques such as model predictive control, PCA, clustering, PLS, and neural networks to optimize formulation development and predict material properties. Soft Sensors & Real-Time Process Analytics: Developing soft sensors and edge-sensing solutions to monitor particle size, viscosity, and other critical inline measurements for smarter, data-driven manufacturing. Data Automation, Scripting & Visualization: Leveraging automated data processing, scripting, and interactive visualization to uncover insights, streamline workflows, and support sustainability goals. Design of Experiments & Bayesian Optimization: Implementing Bayesian and state-of-the-art approaches to maximize experiment efficiency and accelerate material and process development. Materials Informatics & AI-Assisted Formulation: Using clustering, correlation analysis, and AI to identify best candidates for new materials, predict stability, and guide formulation decisions. Robotic Lab Automation: Designing intelligent robotic workflows that combine cobot programming with machine vision and data-driven models to automate laboratory actions, enhance process monitoring, and support real-time decision-making. Knowledge Management & Enterprise Systems: Developing ontologies, knowledge graphs, and robust database/version control systems to support reproducible research and enterprise-scale data integration. Required experience: Educated to a minimum of a foundation degree (or equivalent) in a Scientific/Mathematical/Engineering discipline, with industrial/academic experience at a senior level. Significant, technical expertise in data science and evidence of complex technical problem-solving where it is necessary to use own initiative and judgement. Hold significant knowledge and experience of coding languages typically used for data science (e.g. python, R, MATLAB). Able to support/generate commercial and collaborative business on behalf the automation and digital team. Exhibit professional mastery of principles and practices in data science techniques gained through your career to date in an area of specialism. Demonstrate in-depth technical and theoretical knowledge in mathematics related to data science and is viewed as a specialist in this area by peers. SRG are the UK number 1 recruitment company specialising in the science, engineering, clinical, pharmaceutical, food/FMCG, renewable, biotech, chemicals and medical devices sectors. As scientists ourselves, our specialist sector knowledge and our passion are second to none. It's this combination that makes us different. We're committed to providing outstanding temporary, contract and permanent career opportunities of all levels for our candidates and a comprehensive range of expert strategic recruitment services for our clients. If you have a scientific background and this position is not relevant / suitable for you please feel free to get in touch or visit (url removed) to view our other vacancies. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
A major telecommunications provider in the UK seeks a Head of Data Engineering to lead the data engineering function. This hands-on senior role involves strategy ownership and team leadership, ensuring the development of scalable data products. Responsibilities include defining the architecture of the data platform, mentoring a team, and maintaining high data standards while working in a dynamic Google Cloud environment. Candidates need strong leadership in remote settings and proficiency in Python and SQL.
Feb 20, 2026
Full time
A major telecommunications provider in the UK seeks a Head of Data Engineering to lead the data engineering function. This hands-on senior role involves strategy ownership and team leadership, ensuring the development of scalable data products. Responsibilities include defining the architecture of the data platform, mentoring a team, and maintaining high data standards while working in a dynamic Google Cloud environment. Candidates need strong leadership in remote settings and proficiency in Python and SQL.
A major telecommunications provider in the UK seeks a Head of Data Engineering to lead the data engineering function. This hands-on senior role involves strategy ownership and team leadership, ensuring the development of scalable data products. Responsibilities include defining the architecture of the data platform, mentoring a team, and maintaining high data standards while working in a dynamic Google Cloud environment. Candidates need strong leadership in remote settings and proficiency in Python and SQL.
Feb 20, 2026
Full time
A major telecommunications provider in the UK seeks a Head of Data Engineering to lead the data engineering function. This hands-on senior role involves strategy ownership and team leadership, ensuring the development of scalable data products. Responsibilities include defining the architecture of the data platform, mentoring a team, and maintaining high data standards while working in a dynamic Google Cloud environment. Candidates need strong leadership in remote settings and proficiency in Python and SQL.
CloserStill Media London Hybrid WHO WE ARE: At CloserStill, we strive to deliver the best. We're on a mission to be the most dynamic B2B events and communities business in every market we serve, bringing people together to learn, connect and grow. Operating across five regions, we power over 200 market leading events, publications and brands across Business Technologies, Healthcare, Learning, HR & Education, and Future Transport & Infrastructure. But what truly sets us apart is our people. WHO WE ARE LOOKING FOR: A technical leader who's built modern data platforms and integration systems at scale. Someone who's equally comfortable designing cloud architecture and rolling up their sleeves to solve hard problems. You've led engineering teams, championed DevOps practices, and have deep Azure experience. Bonus points if you've enabled third party developer ecosystems or worked in media/events/SaaS. Must-haves: Senior engineering leadership experience (Head of Engineering, Engineering Manager level) Proven track record building data platforms for analytics and AI/ML Deep Microsoft Azure expertise Hands on experience with Databricks, APIs, and integration platforms Strong understanding of MLOps and productionizing machine learning Experience leading and scaling engineering teams Tech stack: Azure, Databricks, Python, PySpark, SQL, JavaScript, Node, Bash THE ROLE: You'll own the technical vision and delivery of our core platforms: Build world class platforms Architect cloud native data and AI systems that support analytics, ML workloads, and real time operations Create API first integration layers for internal teams and external partners Implement MLOps best practices for model deployment and lifecycle management Lead exceptional teams Build, mentor, and scale high performing engineering teams Set standards for code quality, security, and performance Drive DevOps and CI/CD culture for fast, reliable delivery Drive business impact Translate business needs into technical solutions Partner with product, data, and operations leaders Own the engineering roadmap and align resources to the outcome Platform & Architecture Leadership Define and own the technical vision and roadmap for CloserStill's core data, AI, and integration platforms Architect scalable, secure, and resilient cloud native solutions using Microsoft Azure Lead development of a unified data platform supporting business intelligence, analytics, AI/ML workloads, and real time operational use cases Design and evolve an API first integration platform enabling internal teams and external partners to build and integrate services efficiently Data, AI & MLOps Lead implementation and optimisation of data pipelines for data engineering, analytics, and machine learning Implement best practices for MLOps, including model deployment, monitoring, versioning, and lifecycle management Partner closely with data science and analytics teams to ensure platforms enable experimentation and production grade AI Engineering Leadership & Delivery Build, lead, and mentor high performing engineering teams across data platform and integration domains Set engineering standards for code quality, security, reliability, and performance Champion DevOps and CI/CD practices to ensure fast, safe, and repeatable delivery Balance strategic architecture work with hands on technical leadership where required Define and own the engineering roadmap and align to resource needs Work with: Azure, Databricks, Bash, JavaScript, Node, Python, PySpark, SQL Integration & Ecosystem Enablement Own the strategy and delivery of integration services, including public and private APIs, event driven and asynchronous integrations, and authentication/authorisation models Enable third party vendors, partners, and developers to integrate seamlessly into CloserStill's ecosystem Ensure strong governance, observability, and documentation across all integration services Stakeholder Collaboration Work closely with senior stakeholders across technology, product, data, and operations to align engineering outcomes with business objectives Translate business needs into scalable technical solutions Contribute to broader technology strategy and investment decisions Align the roadmap to business outcome delivery ABOUT YOU: Essential Experience: Proven experience in a senior engineering leadership role (Head of Engineering, Engineering Manager, or similar) Strong background in building data platforms for analytics and operational use cases Deep experience with Microsoft Azure cloud services Hands on experience designing and building APIs and integration platforms Experience working with Databricks for data engineering and analytics Strong understanding of MLOps practices and productionising machine learning models Experience leading and scaling engineering teams in a modern, agile environment Desirable Experience: Experience enabling third party developer ecosystems or platform as a product models Familiarity with event driven architectures and streaming technologies Background in media, events, SaaS, or data driven businesses Strong understanding of security, identity, and access management in cloud platforms Personal Attributes: Strategic thinker with a strong bias toward execution Comfortable operating at both architectural and hands on levels Excellent communicator, able to engage technical and non technical stakeholders and provide clear, concise project updates Passionate about data, AI, and building platforms that unlock business value Natural leader who develops teams and fosters a culture of engineering excellence Unfortunately, we are unable to provide sponsorship for this position. CloserStill Media reserves the right to request a DBS or credit check should the role require it. DIVERSITY AND INCLUSION: CloserStill Media embrace diversity in all its forms and are committed to continuing to develop a diverse and inclusive environment that encourages collaboration and innovation. We are an equal opportunity employer. All applicants will be considered for employment based on merit without attention to age, ethnicity, religion or beliefs, sexual orientation, gender identity, family or parental status or disability status. We are committed to ensuring an inclusive and accessible recruitment process. If you require any reasonable adjustments at any stage, don't hesitate to get in touch with our HR team at .
Feb 20, 2026
Full time
CloserStill Media London Hybrid WHO WE ARE: At CloserStill, we strive to deliver the best. We're on a mission to be the most dynamic B2B events and communities business in every market we serve, bringing people together to learn, connect and grow. Operating across five regions, we power over 200 market leading events, publications and brands across Business Technologies, Healthcare, Learning, HR & Education, and Future Transport & Infrastructure. But what truly sets us apart is our people. WHO WE ARE LOOKING FOR: A technical leader who's built modern data platforms and integration systems at scale. Someone who's equally comfortable designing cloud architecture and rolling up their sleeves to solve hard problems. You've led engineering teams, championed DevOps practices, and have deep Azure experience. Bonus points if you've enabled third party developer ecosystems or worked in media/events/SaaS. Must-haves: Senior engineering leadership experience (Head of Engineering, Engineering Manager level) Proven track record building data platforms for analytics and AI/ML Deep Microsoft Azure expertise Hands on experience with Databricks, APIs, and integration platforms Strong understanding of MLOps and productionizing machine learning Experience leading and scaling engineering teams Tech stack: Azure, Databricks, Python, PySpark, SQL, JavaScript, Node, Bash THE ROLE: You'll own the technical vision and delivery of our core platforms: Build world class platforms Architect cloud native data and AI systems that support analytics, ML workloads, and real time operations Create API first integration layers for internal teams and external partners Implement MLOps best practices for model deployment and lifecycle management Lead exceptional teams Build, mentor, and scale high performing engineering teams Set standards for code quality, security, and performance Drive DevOps and CI/CD culture for fast, reliable delivery Drive business impact Translate business needs into technical solutions Partner with product, data, and operations leaders Own the engineering roadmap and align resources to the outcome Platform & Architecture Leadership Define and own the technical vision and roadmap for CloserStill's core data, AI, and integration platforms Architect scalable, secure, and resilient cloud native solutions using Microsoft Azure Lead development of a unified data platform supporting business intelligence, analytics, AI/ML workloads, and real time operational use cases Design and evolve an API first integration platform enabling internal teams and external partners to build and integrate services efficiently Data, AI & MLOps Lead implementation and optimisation of data pipelines for data engineering, analytics, and machine learning Implement best practices for MLOps, including model deployment, monitoring, versioning, and lifecycle management Partner closely with data science and analytics teams to ensure platforms enable experimentation and production grade AI Engineering Leadership & Delivery Build, lead, and mentor high performing engineering teams across data platform and integration domains Set engineering standards for code quality, security, reliability, and performance Champion DevOps and CI/CD practices to ensure fast, safe, and repeatable delivery Balance strategic architecture work with hands on technical leadership where required Define and own the engineering roadmap and align to resource needs Work with: Azure, Databricks, Bash, JavaScript, Node, Python, PySpark, SQL Integration & Ecosystem Enablement Own the strategy and delivery of integration services, including public and private APIs, event driven and asynchronous integrations, and authentication/authorisation models Enable third party vendors, partners, and developers to integrate seamlessly into CloserStill's ecosystem Ensure strong governance, observability, and documentation across all integration services Stakeholder Collaboration Work closely with senior stakeholders across technology, product, data, and operations to align engineering outcomes with business objectives Translate business needs into scalable technical solutions Contribute to broader technology strategy and investment decisions Align the roadmap to business outcome delivery ABOUT YOU: Essential Experience: Proven experience in a senior engineering leadership role (Head of Engineering, Engineering Manager, or similar) Strong background in building data platforms for analytics and operational use cases Deep experience with Microsoft Azure cloud services Hands on experience designing and building APIs and integration platforms Experience working with Databricks for data engineering and analytics Strong understanding of MLOps practices and productionising machine learning models Experience leading and scaling engineering teams in a modern, agile environment Desirable Experience: Experience enabling third party developer ecosystems or platform as a product models Familiarity with event driven architectures and streaming technologies Background in media, events, SaaS, or data driven businesses Strong understanding of security, identity, and access management in cloud platforms Personal Attributes: Strategic thinker with a strong bias toward execution Comfortable operating at both architectural and hands on levels Excellent communicator, able to engage technical and non technical stakeholders and provide clear, concise project updates Passionate about data, AI, and building platforms that unlock business value Natural leader who develops teams and fosters a culture of engineering excellence Unfortunately, we are unable to provide sponsorship for this position. CloserStill Media reserves the right to request a DBS or credit check should the role require it. DIVERSITY AND INCLUSION: CloserStill Media embrace diversity in all its forms and are committed to continuing to develop a diverse and inclusive environment that encourages collaboration and innovation. We are an equal opportunity employer. All applicants will be considered for employment based on merit without attention to age, ethnicity, religion or beliefs, sexual orientation, gender identity, family or parental status or disability status. We are committed to ensuring an inclusive and accessible recruitment process. If you require any reasonable adjustments at any stage, don't hesitate to get in touch with our HR team at .
A data-driven financial technology firm in London seeks a Quantitative Analyst to build ML-driven insight systems using structured financial time series data. This role requires strong Python skills and over 5 years of experience in quantitative analysis or financial modeling. You will develop models, deploy them into production, and evaluate signals based on real-world investor outcomes. The compensation ranges from £110,000 to £200,000 depending on experience, with equity included. This is an in-office role that offers direct influence on investor decision-making.
Feb 20, 2026
Full time
A data-driven financial technology firm in London seeks a Quantitative Analyst to build ML-driven insight systems using structured financial time series data. This role requires strong Python skills and over 5 years of experience in quantitative analysis or financial modeling. You will develop models, deploy them into production, and evaluate signals based on real-world investor outcomes. The compensation ranges from £110,000 to £200,000 depending on experience, with equity included. This is an in-office role that offers direct influence on investor decision-making.
Join our team at the Guardian and be a part of a diverse and inclusive global organisation that delivers fearless, investigative journalism, and holds power to account. Our team of award-winning journalists, cutting-edge commercial professionals, and industry-leading digital experts are committed to making a difference and represent a wide range of backgrounds and perspectives. We offer a challenging and exciting environment for career development, with a focus on training, growth and fostering an inclusive culture. We are now looking for a Senior Analyst to join our Marketing & Reader Revenue (MRR) team. At the Guardian, analytics plays an important role in supporting strategic decisions through robust, high-quality analysis. The Senior Technical Analyst will be embedded within the department and focused on delivering practical, data-driven insights aligned to the Guardian's priorities. The MRR team supports revenue and subscriptions growth through customer behaviour and marketing performance analysis. The team's primary objective is to enable MRR and the associated Product and Engineering teams to be audience centric, data driven, and to deliver meaningful, actionable insights in response to long term trends. You'll support subscription and revenue growth by analysing marketing performance, customer behaviour and retention strategies. About the Role: Develop and enhance analytics workflows and reporting processes that support day-to-day performance tracking, using tools such as SQL, Python, and Tableau to streamline data access and insight delivery. Develop, refine, and own critical KPIs, with a particular focus on Lifetime Value (LTV), retention, churn, conversion, and acquisition efficiency-ensuring these are consistently measured and aligned with strategic goals. Independently scope and deliver analytical projects from end to end: defining the problem, selecting appropriate methods, conducting in-depth analysis, and communicating results that support data-driven decision-making. Translate complex datasets into clear, actionable insights, using tools like Tableau and strong written communication to create structured outputs that are easy to interpret and tailored to diverse audiences. Ensure data quality and reporting accuracy across all BAU and project-based outputs through robust testing, documentation, and peer review processes. Act as a trusted partner to stakeholders across MRR, advising on data best practices and how to effectively use analytics to drive decisions. Build subject matter expertise in your focus area, such as content performance, advertising inventory, or reader behaviour-and share insights to elevate team and organisational understanding. Foster strong cross-functional relationships with Product, Data Engineering, UX Research, and other teams to align analytics work with wider business objectives and improve data workflows. Contribute to a high-performing, collaborative analytics culture, participating in peer reviews, sharing best practices, and supporting team-wide improvements in standards, documentation, and tooling. About You: Demonstrated experience in data analytics including scoping, delivering, and communicating analytics projects that support department goals. Strong experience in SQL and practical experience in Python (or R), including packages such as pandas for analysis. Writes clean, well-documented code and follows good documentation/versioning practices. Strong expertise in KPI development-particularly Lifetime Value (LTV), retention metrics, acquisition efficiency, and conversion tracking. Applied knowledge of experimental testing (A/B and multivariate) Skilled in data visualisation and dashboard creation (e.g. Tableau), communicates findings clearly and concisely Open, inclusive team contributor-willing to share feedback, mentor junior team members, and continuously learn from others as well as keeping collaborators and managers informed of progress, blockers, and results throughout project delivery. Comfortable with ambiguity and structuring analysis from first principles. We actively encourage applications from groups traditionally underrepresented in the UK media. We operate in a hybrid environment working 3 days a week from our offices in Kings Cross and 2 days a week remotely. We value and respect all differences (seen and unseen) in all people. We aspire to have inclusive working experiences and an environment that reflects the audience we serve, where our people have equal access to career development opportunities, their voices are heard and can contribute to our future. We actively encourage applications from people of all backgrounds. Many of our staff work flexibly and we will consider all requests for flexible working arrangements. How to Apply To apply, please upload your latest CV and a cover letter which outlines why you'd love to take on this role, and why you're a great match for what we're looking for. We appreciate the time taken to prepare each application we receive. We do not use AI-assisted technology to review applications; every application is reviewed by a member of our recruitment team. The closing date for applications is Tuesday 24th February 2026. All roles at the Guardian are open for everybody to apply. It is important to us that you feel supported and comfortable throughout your recruitment process, in order to perform your best. Please let us know if there are any changes we could make to help your application, this includes providing documents in accessible formats or personalising the process to better support your needs. Please contact Anna Vipers on to discuss further so we can work with you to support you through your application. Benefits at the Guardian You'll have 30 days of annual leave per year (plus bank holidays) with the option to purchase an additional 5 days. Our pension scheme is generous; if you contribute 5% then we will contribute 8-12% (depending on your age). We believe in giving back, which is why employees are given 2 volunteering days annually and the option of payroll giving. Season ticket loans are also available. You are entitled to private healthcare, life cover, income protection, and eye tests. You can also opt in to dental insurance. We have enhanced maternity, paternity, adoption and shared parental leave policies in place. We also support our employees by offering an IVF, menopause, baby loss, and trans equality policy. Culture and Wellbeing We want everyone to feel like they belong at the Guardian and we champion diversity of thought. Our various employee forums provide a platform to use their voice to foster an inclusive workplace. We became the first major media organisation to achieve B Corp status. We offer tools to help you prioritise your wellbeing including access to our employee benefits platform which provides tailored support for health and wellbeing. In addition, we also offer free yoga and pilates classes. These run alongside our corporate gym membership and cycle to work scheme. Our canteen has views overlooking the Regents Canal and caters for breakfast, lunch and dinner. Learning and Development We encourage personal and professional growth. Employees have access to a broad range of tools and solutions, and we are happy to support the pursuit of professional qualifications through vocational courses and apprenticeships.
Feb 20, 2026
Full time
Join our team at the Guardian and be a part of a diverse and inclusive global organisation that delivers fearless, investigative journalism, and holds power to account. Our team of award-winning journalists, cutting-edge commercial professionals, and industry-leading digital experts are committed to making a difference and represent a wide range of backgrounds and perspectives. We offer a challenging and exciting environment for career development, with a focus on training, growth and fostering an inclusive culture. We are now looking for a Senior Analyst to join our Marketing & Reader Revenue (MRR) team. At the Guardian, analytics plays an important role in supporting strategic decisions through robust, high-quality analysis. The Senior Technical Analyst will be embedded within the department and focused on delivering practical, data-driven insights aligned to the Guardian's priorities. The MRR team supports revenue and subscriptions growth through customer behaviour and marketing performance analysis. The team's primary objective is to enable MRR and the associated Product and Engineering teams to be audience centric, data driven, and to deliver meaningful, actionable insights in response to long term trends. You'll support subscription and revenue growth by analysing marketing performance, customer behaviour and retention strategies. About the Role: Develop and enhance analytics workflows and reporting processes that support day-to-day performance tracking, using tools such as SQL, Python, and Tableau to streamline data access and insight delivery. Develop, refine, and own critical KPIs, with a particular focus on Lifetime Value (LTV), retention, churn, conversion, and acquisition efficiency-ensuring these are consistently measured and aligned with strategic goals. Independently scope and deliver analytical projects from end to end: defining the problem, selecting appropriate methods, conducting in-depth analysis, and communicating results that support data-driven decision-making. Translate complex datasets into clear, actionable insights, using tools like Tableau and strong written communication to create structured outputs that are easy to interpret and tailored to diverse audiences. Ensure data quality and reporting accuracy across all BAU and project-based outputs through robust testing, documentation, and peer review processes. Act as a trusted partner to stakeholders across MRR, advising on data best practices and how to effectively use analytics to drive decisions. Build subject matter expertise in your focus area, such as content performance, advertising inventory, or reader behaviour-and share insights to elevate team and organisational understanding. Foster strong cross-functional relationships with Product, Data Engineering, UX Research, and other teams to align analytics work with wider business objectives and improve data workflows. Contribute to a high-performing, collaborative analytics culture, participating in peer reviews, sharing best practices, and supporting team-wide improvements in standards, documentation, and tooling. About You: Demonstrated experience in data analytics including scoping, delivering, and communicating analytics projects that support department goals. Strong experience in SQL and practical experience in Python (or R), including packages such as pandas for analysis. Writes clean, well-documented code and follows good documentation/versioning practices. Strong expertise in KPI development-particularly Lifetime Value (LTV), retention metrics, acquisition efficiency, and conversion tracking. Applied knowledge of experimental testing (A/B and multivariate) Skilled in data visualisation and dashboard creation (e.g. Tableau), communicates findings clearly and concisely Open, inclusive team contributor-willing to share feedback, mentor junior team members, and continuously learn from others as well as keeping collaborators and managers informed of progress, blockers, and results throughout project delivery. Comfortable with ambiguity and structuring analysis from first principles. We actively encourage applications from groups traditionally underrepresented in the UK media. We operate in a hybrid environment working 3 days a week from our offices in Kings Cross and 2 days a week remotely. We value and respect all differences (seen and unseen) in all people. We aspire to have inclusive working experiences and an environment that reflects the audience we serve, where our people have equal access to career development opportunities, their voices are heard and can contribute to our future. We actively encourage applications from people of all backgrounds. Many of our staff work flexibly and we will consider all requests for flexible working arrangements. How to Apply To apply, please upload your latest CV and a cover letter which outlines why you'd love to take on this role, and why you're a great match for what we're looking for. We appreciate the time taken to prepare each application we receive. We do not use AI-assisted technology to review applications; every application is reviewed by a member of our recruitment team. The closing date for applications is Tuesday 24th February 2026. All roles at the Guardian are open for everybody to apply. It is important to us that you feel supported and comfortable throughout your recruitment process, in order to perform your best. Please let us know if there are any changes we could make to help your application, this includes providing documents in accessible formats or personalising the process to better support your needs. Please contact Anna Vipers on to discuss further so we can work with you to support you through your application. Benefits at the Guardian You'll have 30 days of annual leave per year (plus bank holidays) with the option to purchase an additional 5 days. Our pension scheme is generous; if you contribute 5% then we will contribute 8-12% (depending on your age). We believe in giving back, which is why employees are given 2 volunteering days annually and the option of payroll giving. Season ticket loans are also available. You are entitled to private healthcare, life cover, income protection, and eye tests. You can also opt in to dental insurance. We have enhanced maternity, paternity, adoption and shared parental leave policies in place. We also support our employees by offering an IVF, menopause, baby loss, and trans equality policy. Culture and Wellbeing We want everyone to feel like they belong at the Guardian and we champion diversity of thought. Our various employee forums provide a platform to use their voice to foster an inclusive workplace. We became the first major media organisation to achieve B Corp status. We offer tools to help you prioritise your wellbeing including access to our employee benefits platform which provides tailored support for health and wellbeing. In addition, we also offer free yoga and pilates classes. These run alongside our corporate gym membership and cycle to work scheme. Our canteen has views overlooking the Regents Canal and caters for breakfast, lunch and dinner. Learning and Development We encourage personal and professional growth. Employees have access to a broad range of tools and solutions, and we are happy to support the pursuit of professional qualifications through vocational courses and apprenticeships.
Locations: London Lisbon Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do BCG Risk has been on a Generative AI journey to transform internal operations powered through cutting edge Generative AI technologies are core to this journey. Thus, we are looking for Generative AI engineers who are passionate about designing, developing, deploying and optimizing Gen AI products at scale. This role will be hosted in Risk and Compliance digital products team to support building key prioritized Generative AI solutions. KEY RESPONSIBILITIES You will work as a squad member with strong hands on Gen AI expertise and will guide the product owners, digital leaders in conceptualizing new Gen AI products or embedding Gen AI as part of existing products in most optimum manner. You will be an hands on contributor to develop the Gen AI products along with broader squad members as well as managing other Gen AI/LLM engineers or data scientists developing Gen AI applications. Along with core Generative AI expertise, you will bring expertise in full backend development in technologies like python, typescript including REST, GraphQL etc. APIs development, core functional logic, performance, and stability of custom-built products. Conceptualize Generative AI custom products at BCG internally & operate as a technical thought partner for digital leaders and product owners. Combine data science & engineering expertise in building Generative AI products. Develop Gen AI products to develop scalable high performance enterprise products along with broader squad. Manage a team to deliver Gen AI products. Share expertise and recommendations on alternate approaches & tools to improve product. Collaborate closely with data engineers, data scientists, software engineers, QA, product owners and analysts develop seamless end to end integrated products. Build strong relationships with business stakeholders, ensuring alignment on project goals and successful integration of products into business processes. Oversee & mentor other LLM/AI engineers, data scientists in the project on Gen AI expertise. Share Gen AI knowledge & expertise across with broader digital teams squads, chapters, CoEs. Regularly ramp up on latest LLMs, technologies, frameworks & platforms in the Gen AI space. What You'll Bring Overall 9+ years of experience in engineering, machine learning & LLMs. 6+ years of hands on experience in building & deploying AI/ML/Gen AI solutions in large business critical applications. 2+ years of experience in developing Gen AI products using variety of LLMs & frameworks. 1+ years of experience leading a team. Advanced proficiency in Python for data science, engineering & LLMs. Highly curious technically to evaluate & test new technologies in Gen AI space. Proven ability to work with large structured & unstructured datasets and deploy AI/ML/Gen AI solutions through automated pipelines. Experience with leveraging, training and fine tuning Foundation Models including multimodal inputs and outputs. Strong experience working with key LLM models APIs (e.g. OpenAI, Anthropic) and LLM Frameworks (e.g. LangChain, LlamaIndex). Proficiency in generating and working with embeddings across variety of data formats. Understanding of embedding spaces and their applications in semantic search and information retrieval. Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Expertise with RAG concepts and fundamentals (vectorDBs, semanticsearch, re rankers etc.), Expertise in implementing RAG systems that combine knowledge bases. Experience with multi agent frameworks/systems and an understanding of multi agent systems and their applications in complex problem solving scenarios. Experience in working with variety of data bases (SQL, no SQL), APIs & microservices development. Experience with LLMOps tools (e.g. Langsmith) to implement guardrails, track accuracy, hallucinations, bias and other metrics in Gen AI products. Experience in constructing and querying knowledge graphs including graph based reasoning. Experience in front end development technologies (e.g. REACT) would be good to have. Excellent communication skills, with the ability to explain complex technical concepts to various audiences. Proven ability to operate with a transparent mindset, communicating openly with stakeholders at various levels of the organization. Who You'll Work With As a pivotal member of the team, you will interact extensively with a diverse range of stakeholders from across the functions both geographically and functionally. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E-Verify Employer. Click here for more information on E-Verify.
Feb 20, 2026
Full time
Locations: London Lisbon Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do BCG Risk has been on a Generative AI journey to transform internal operations powered through cutting edge Generative AI technologies are core to this journey. Thus, we are looking for Generative AI engineers who are passionate about designing, developing, deploying and optimizing Gen AI products at scale. This role will be hosted in Risk and Compliance digital products team to support building key prioritized Generative AI solutions. KEY RESPONSIBILITIES You will work as a squad member with strong hands on Gen AI expertise and will guide the product owners, digital leaders in conceptualizing new Gen AI products or embedding Gen AI as part of existing products in most optimum manner. You will be an hands on contributor to develop the Gen AI products along with broader squad members as well as managing other Gen AI/LLM engineers or data scientists developing Gen AI applications. Along with core Generative AI expertise, you will bring expertise in full backend development in technologies like python, typescript including REST, GraphQL etc. APIs development, core functional logic, performance, and stability of custom-built products. Conceptualize Generative AI custom products at BCG internally & operate as a technical thought partner for digital leaders and product owners. Combine data science & engineering expertise in building Generative AI products. Develop Gen AI products to develop scalable high performance enterprise products along with broader squad. Manage a team to deliver Gen AI products. Share expertise and recommendations on alternate approaches & tools to improve product. Collaborate closely with data engineers, data scientists, software engineers, QA, product owners and analysts develop seamless end to end integrated products. Build strong relationships with business stakeholders, ensuring alignment on project goals and successful integration of products into business processes. Oversee & mentor other LLM/AI engineers, data scientists in the project on Gen AI expertise. Share Gen AI knowledge & expertise across with broader digital teams squads, chapters, CoEs. Regularly ramp up on latest LLMs, technologies, frameworks & platforms in the Gen AI space. What You'll Bring Overall 9+ years of experience in engineering, machine learning & LLMs. 6+ years of hands on experience in building & deploying AI/ML/Gen AI solutions in large business critical applications. 2+ years of experience in developing Gen AI products using variety of LLMs & frameworks. 1+ years of experience leading a team. Advanced proficiency in Python for data science, engineering & LLMs. Highly curious technically to evaluate & test new technologies in Gen AI space. Proven ability to work with large structured & unstructured datasets and deploy AI/ML/Gen AI solutions through automated pipelines. Experience with leveraging, training and fine tuning Foundation Models including multimodal inputs and outputs. Strong experience working with key LLM models APIs (e.g. OpenAI, Anthropic) and LLM Frameworks (e.g. LangChain, LlamaIndex). Proficiency in generating and working with embeddings across variety of data formats. Understanding of embedding spaces and their applications in semantic search and information retrieval. Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Expertise with RAG concepts and fundamentals (vectorDBs, semanticsearch, re rankers etc.), Expertise in implementing RAG systems that combine knowledge bases. Experience with multi agent frameworks/systems and an understanding of multi agent systems and their applications in complex problem solving scenarios. Experience in working with variety of data bases (SQL, no SQL), APIs & microservices development. Experience with LLMOps tools (e.g. Langsmith) to implement guardrails, track accuracy, hallucinations, bias and other metrics in Gen AI products. Experience in constructing and querying knowledge graphs including graph based reasoning. Experience in front end development technologies (e.g. REACT) would be good to have. Excellent communication skills, with the ability to explain complex technical concepts to various audiences. Proven ability to operate with a transparent mindset, communicating openly with stakeholders at various levels of the organization. Who You'll Work With As a pivotal member of the team, you will interact extensively with a diverse range of stakeholders from across the functions both geographically and functionally. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E-Verify Employer. Click here for more information on E-Verify.
Careers# Head of Engineering & Architecture Team:Technology - UK Location:United Kingdom Work Model:hybrid Work Type:Permanent Hi, we're PEXA! We know you'll Google us before applying, so let's keep this brief. PEXA revolutionised the way that property is settled in Australia, turning a paper-based process into a digital one. Our solution is a world-first, with over 500 people across Australia and an expanding international team, we're helping 20,000+ families into their homes each week.We're passionate about solving problems for our customers - always striving to set the standard for how property is bought and sold. Being awarded as one of the best places to work in Australia is a recognition of our culture and commitment to innovation, customers and our community.We're growing fast, that is where you come in.We believe our success in Australia is worth sharing and that our proven technology will advance how the UK buys and sells homes.Establishing ourselves within the UK in late 2020, we are committed to collaborating with lawyers, conveyancers, lenders, government and the property industry, to set the new standard for both remortgages and buying and selling property.Great question! Being a PEXArian is so much more than just a job. We're a passionate, motivated and unashamedly enthusiastic bunch at PEXA - we love what we do and we're proud to admit it! Creating brilliant experiences for our members and their clients wouldn't be possible without ensuring we deliver an exceptional employee experience. Here's a snapshot of what your life at PEXA could look like: Your growth: We encourage you to hit your personal and professional learning and development goals with our tailored programs and tools. Your wellness: We care about your holistic wellbeing Your work/life blend: We know that work is just one aspect of your life - we want to help you create your ideal work/life blend, rather than squeezing in life around work. Role Overview As Head of Engineering and Architecture at PEXA UK, you will own the engineering function and technical vision across our UK technology organisation. Working directly with the CTO, you'll define and execute technical strategy, lead engineering teams to deliver scalable solutions, and build the engineering capability that powers PEXA's growth.This role combines strategic technical direction with operational excellence - from hands-on architectural guidance to talent development and stakeholder collaboration. Our Ethos We believe in autonomous engineering teams where every engineer owns quality from development through production. As Head of Engineering and Architecture, you will shape this culture of ownership and build the engineering capability that enables PEXA UK's growth.You'll champion shift-left testing practices and promote T-shaped skill development. This role offers significant autonomy and the opportunity to shape the technical direction of a transformative property technology company.We at PEXA are ready so if this role sounds like you apply today. To be conducted as part of post offer employment checks: The personal information we have collected from you will be shared with Cifas who will use it to prevent fraud, other unlawful or dishonest conduct, malpractice, and other seriously improper conduct. If any of these are detected, you could be refused certain services or employment. Your personal information will also be used to verify your identity. Further details of how your information will be used by us and Cifas, and your data protection rights, can be found at . GDPR Compliance Digital Completion UK Limited (trading name "PEXA"), Optima Legal Services Limited (trading name "Optima Legal") and Smoove Limited (a holding company which comprises of the following wholly owned trading Subsidiary companies: United Legal Services Limited, United Home Services Limited, Legal-Eye Limited, and Amity Law Limited) are all owned directly by DigCom UK Holdings Limited, which is a wholly owned Subsidiary of PEXA Group Limited in Australia (ACN ; ASX: PXA) (referred to collectively as "PEXA Group"). When we process your applicant personal data for recruitment purposes, we do so as a controller. If as part of the recruitment process, we share your personal data with another company within the PEXA Group, that company may process your personal data as either an independent controller or, in certain circumstances, a joint controller. By applying for this role, you consent to us processing your personal data in accordance with the UK General Data Protection Regulation ("UK GDPR") and the Data Protection Act 2018, and further information can be found in our privacy notice . Key Responsibilities Technical Strategy & Architecture Define and drive the engineering vision, architecture principles, and technical roadmap for PEXA UK Own product and solution architecture with focus on quality, scalability, and operational resilience in a highly integrated ecosystem Establish engineering best practices, coding standards, and architectural governance across all teams Evaluate and adopt emerging technologies and AI capabilities to maintain competitive advantage Engineering Leadership & Delivery Lead and scale engineering teams, driving delivery of complex programmes with significant business impact Build, mentor, and inspire high-performing teams, fostering innovation and continuous learning Define and drive OKRs for engineering quality, delivery velocity, and platform reliability Drive operational excellence with strong focus on SLOs and data-driven decision making People Leadership & Talent Development Hire and grow the next generation of engineering leadership through coaching and performance management Attract, retain, and develop top engineering talent, setting a high bar and leading by example Conduct effective 1:1s with direct reports, providing career guidance and actionable feedback Strategic Partnership Partner with Product, Design, and Operations to shape and deliver strategic product roadmaps Translate business requirements into technical solutions that deliver measurable customer value Manage engineering budgets, resources, and vendor relationships Essential Skills & Experience Technical Background Deep technical background with hands-on experience in backend systems, microservices, anddistributed architectures Strong full-stack foundation: .NET Core Python, Kotlin, cloud platforms (AWS, Azure),containerisation (Kubernetes, Docker) Track record of delivering high-scale, reliable, and secure platforms for enterprise customers Knowledge of modern engineering practices: TDD, DDD, CI/CD, infrastructure as code Leadership Skills Proven experience leading and scaling engineering teams in high-growth technology environments Experience leading and scaling 4-5 teams, 30-50 people, ideally including offshore partners Exceptional leadership skills to inspire and retain high-performing teams Excellent communication with ability to influence across teams and seniority levels Strategic thinker comfortable in fast-paced, ambiguous environments Nice To Have Experience in financial services, property technology, or regulated industries Experience leading distributed teams across multiple locations and time zones Knowledge of AI/ML frameworks: LangChain, Anthropic Claude, AWS Bedrock, GitHub Copilot Experience with modern data platforms: Databricks, Snowflake, dbt Background in DevSecOps or platform engineering
Feb 20, 2026
Full time
Careers# Head of Engineering & Architecture Team:Technology - UK Location:United Kingdom Work Model:hybrid Work Type:Permanent Hi, we're PEXA! We know you'll Google us before applying, so let's keep this brief. PEXA revolutionised the way that property is settled in Australia, turning a paper-based process into a digital one. Our solution is a world-first, with over 500 people across Australia and an expanding international team, we're helping 20,000+ families into their homes each week.We're passionate about solving problems for our customers - always striving to set the standard for how property is bought and sold. Being awarded as one of the best places to work in Australia is a recognition of our culture and commitment to innovation, customers and our community.We're growing fast, that is where you come in.We believe our success in Australia is worth sharing and that our proven technology will advance how the UK buys and sells homes.Establishing ourselves within the UK in late 2020, we are committed to collaborating with lawyers, conveyancers, lenders, government and the property industry, to set the new standard for both remortgages and buying and selling property.Great question! Being a PEXArian is so much more than just a job. We're a passionate, motivated and unashamedly enthusiastic bunch at PEXA - we love what we do and we're proud to admit it! Creating brilliant experiences for our members and their clients wouldn't be possible without ensuring we deliver an exceptional employee experience. Here's a snapshot of what your life at PEXA could look like: Your growth: We encourage you to hit your personal and professional learning and development goals with our tailored programs and tools. Your wellness: We care about your holistic wellbeing Your work/life blend: We know that work is just one aspect of your life - we want to help you create your ideal work/life blend, rather than squeezing in life around work. Role Overview As Head of Engineering and Architecture at PEXA UK, you will own the engineering function and technical vision across our UK technology organisation. Working directly with the CTO, you'll define and execute technical strategy, lead engineering teams to deliver scalable solutions, and build the engineering capability that powers PEXA's growth.This role combines strategic technical direction with operational excellence - from hands-on architectural guidance to talent development and stakeholder collaboration. Our Ethos We believe in autonomous engineering teams where every engineer owns quality from development through production. As Head of Engineering and Architecture, you will shape this culture of ownership and build the engineering capability that enables PEXA UK's growth.You'll champion shift-left testing practices and promote T-shaped skill development. This role offers significant autonomy and the opportunity to shape the technical direction of a transformative property technology company.We at PEXA are ready so if this role sounds like you apply today. To be conducted as part of post offer employment checks: The personal information we have collected from you will be shared with Cifas who will use it to prevent fraud, other unlawful or dishonest conduct, malpractice, and other seriously improper conduct. If any of these are detected, you could be refused certain services or employment. Your personal information will also be used to verify your identity. Further details of how your information will be used by us and Cifas, and your data protection rights, can be found at . GDPR Compliance Digital Completion UK Limited (trading name "PEXA"), Optima Legal Services Limited (trading name "Optima Legal") and Smoove Limited (a holding company which comprises of the following wholly owned trading Subsidiary companies: United Legal Services Limited, United Home Services Limited, Legal-Eye Limited, and Amity Law Limited) are all owned directly by DigCom UK Holdings Limited, which is a wholly owned Subsidiary of PEXA Group Limited in Australia (ACN ; ASX: PXA) (referred to collectively as "PEXA Group"). When we process your applicant personal data for recruitment purposes, we do so as a controller. If as part of the recruitment process, we share your personal data with another company within the PEXA Group, that company may process your personal data as either an independent controller or, in certain circumstances, a joint controller. By applying for this role, you consent to us processing your personal data in accordance with the UK General Data Protection Regulation ("UK GDPR") and the Data Protection Act 2018, and further information can be found in our privacy notice . Key Responsibilities Technical Strategy & Architecture Define and drive the engineering vision, architecture principles, and technical roadmap for PEXA UK Own product and solution architecture with focus on quality, scalability, and operational resilience in a highly integrated ecosystem Establish engineering best practices, coding standards, and architectural governance across all teams Evaluate and adopt emerging technologies and AI capabilities to maintain competitive advantage Engineering Leadership & Delivery Lead and scale engineering teams, driving delivery of complex programmes with significant business impact Build, mentor, and inspire high-performing teams, fostering innovation and continuous learning Define and drive OKRs for engineering quality, delivery velocity, and platform reliability Drive operational excellence with strong focus on SLOs and data-driven decision making People Leadership & Talent Development Hire and grow the next generation of engineering leadership through coaching and performance management Attract, retain, and develop top engineering talent, setting a high bar and leading by example Conduct effective 1:1s with direct reports, providing career guidance and actionable feedback Strategic Partnership Partner with Product, Design, and Operations to shape and deliver strategic product roadmaps Translate business requirements into technical solutions that deliver measurable customer value Manage engineering budgets, resources, and vendor relationships Essential Skills & Experience Technical Background Deep technical background with hands-on experience in backend systems, microservices, anddistributed architectures Strong full-stack foundation: .NET Core Python, Kotlin, cloud platforms (AWS, Azure),containerisation (Kubernetes, Docker) Track record of delivering high-scale, reliable, and secure platforms for enterprise customers Knowledge of modern engineering practices: TDD, DDD, CI/CD, infrastructure as code Leadership Skills Proven experience leading and scaling engineering teams in high-growth technology environments Experience leading and scaling 4-5 teams, 30-50 people, ideally including offshore partners Exceptional leadership skills to inspire and retain high-performing teams Excellent communication with ability to influence across teams and seniority levels Strategic thinker comfortable in fast-paced, ambiguous environments Nice To Have Experience in financial services, property technology, or regulated industries Experience leading distributed teams across multiple locations and time zones Knowledge of AI/ML frameworks: LangChain, Anthropic Claude, AWS Bedrock, GitHub Copilot Experience with modern data platforms: Databricks, Snowflake, dbt Background in DevSecOps or platform engineering
Design and deliver production grade AI systems that power data intensive financial products for global clients-turning cutting edge LLM capabilities into reliable, scalable services that make a real impact. This role offers the opportunity to build AI solutions end to end, working with modern platforms like Databricks, Spark, and Delta Lake while shaping an internal AI platform used across the organisation. You'll work at the intersection of software engineering, data engineering, and platform architecture, integrating LLMs into real products where data quality, traceability, and explainability are essential. You'll collaborate with data, product, and platform teams, contribute to complex problem solving in a regulated environment, and grow your technical depth through meaningful ownership, continuous learning, and a supportive engineering culture. Your key responsibilities as a Senior Software Engineer - AI Solutions will include: Developing AI agents and LLM backed data pipelines in Databricks, progressing solutions from experimentation through to production. Designing, building, and maintaining scalable data and ML pipelines using Spark, Delta Lake, and modern orchestration tools. Evolving the internal AI platform to expand capabilities, reliability, and developer usability. Integrating LLMs into existing products and workflows with a focus on data quality, traceability, and explainability. Translating business requirements into robust technical solutions in partnership with data, product, and platform teams. Ensuring solutions meet performance, security, and compliance requirements expected in regulated financial environments. You will need the following experience and skills to join us as a Senior Software Engineer - AI Solutions: You have strong professional experience as a software engineer, with recent hands on work in AI/ML or data intensive systems. You are skilled in Python and TypeScript and have solid experience with distributed data processing (Spark preferred). You have proven experience building and operating data pipelines in Databricks or similar platforms. You have practical experience working with LLMs (e.g., OpenAI, Azure OpenAI), including prompt design, evaluation, and production integration. You demonstrate strong software engineering fundamentals-API design, testing, version control, CI/CD, and observability. FE fundinfo is a leading financial data provider, connecting the investment industry across the UK, Europe, and Asia Pacific through an integrated platform. Our skilled team empowers clients with data driven insights, making the industry Navigate Complexity with Confidence! We foster a collaborative and inclusive work environment where engineers contribute to meaningful outcomes and are encouraged to explore new tools and techniques. You can expect hybrid working options, flexible hours to support work-life balance, regular knowledge sharing sessions, and continuous learning opportunities. We value curiosity, pragmatic engineering, and teamwork-creating a space where you can grow your expertise while delivering secure, scalable solutions. Benefits: 25 days of annual leave with the option to buy an extra 5 days each year. Benefit from enhanced paternity, maternity, and shared parental leave. Secure your future with our pension scheme. Advance your career with sponsored learning and development, including formal qualifications. Private medical insurance as employee wellbeing matters Stay fit with discounted gym memberships. Take advantage of the Bike to Work scheme for eco friendly commuting. Keep your eyes sharp with eye care and flu jab services.
Feb 20, 2026
Full time
Design and deliver production grade AI systems that power data intensive financial products for global clients-turning cutting edge LLM capabilities into reliable, scalable services that make a real impact. This role offers the opportunity to build AI solutions end to end, working with modern platforms like Databricks, Spark, and Delta Lake while shaping an internal AI platform used across the organisation. You'll work at the intersection of software engineering, data engineering, and platform architecture, integrating LLMs into real products where data quality, traceability, and explainability are essential. You'll collaborate with data, product, and platform teams, contribute to complex problem solving in a regulated environment, and grow your technical depth through meaningful ownership, continuous learning, and a supportive engineering culture. Your key responsibilities as a Senior Software Engineer - AI Solutions will include: Developing AI agents and LLM backed data pipelines in Databricks, progressing solutions from experimentation through to production. Designing, building, and maintaining scalable data and ML pipelines using Spark, Delta Lake, and modern orchestration tools. Evolving the internal AI platform to expand capabilities, reliability, and developer usability. Integrating LLMs into existing products and workflows with a focus on data quality, traceability, and explainability. Translating business requirements into robust technical solutions in partnership with data, product, and platform teams. Ensuring solutions meet performance, security, and compliance requirements expected in regulated financial environments. You will need the following experience and skills to join us as a Senior Software Engineer - AI Solutions: You have strong professional experience as a software engineer, with recent hands on work in AI/ML or data intensive systems. You are skilled in Python and TypeScript and have solid experience with distributed data processing (Spark preferred). You have proven experience building and operating data pipelines in Databricks or similar platforms. You have practical experience working with LLMs (e.g., OpenAI, Azure OpenAI), including prompt design, evaluation, and production integration. You demonstrate strong software engineering fundamentals-API design, testing, version control, CI/CD, and observability. FE fundinfo is a leading financial data provider, connecting the investment industry across the UK, Europe, and Asia Pacific through an integrated platform. Our skilled team empowers clients with data driven insights, making the industry Navigate Complexity with Confidence! We foster a collaborative and inclusive work environment where engineers contribute to meaningful outcomes and are encouraged to explore new tools and techniques. You can expect hybrid working options, flexible hours to support work-life balance, regular knowledge sharing sessions, and continuous learning opportunities. We value curiosity, pragmatic engineering, and teamwork-creating a space where you can grow your expertise while delivering secure, scalable solutions. Benefits: 25 days of annual leave with the option to buy an extra 5 days each year. Benefit from enhanced paternity, maternity, and shared parental leave. Secure your future with our pension scheme. Advance your career with sponsored learning and development, including formal qualifications. Private medical insurance as employee wellbeing matters Stay fit with discounted gym memberships. Take advantage of the Bike to Work scheme for eco friendly commuting. Keep your eyes sharp with eye care and flu jab services.
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off: Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organisation defined by our values; we start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion We're building the payment network of the future, and to achieve our goal, we need a diverse team with a range of perspectives and experiences. Here's where we stand: 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co founders of the Tech Zero coalition we're working towards a climate positive future. Check out our sustainability action plan here. Interested in building your career at GoCardless? Get future opportunities sent straight to your email.
Feb 20, 2026
Full time
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off: Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organisation defined by our values; we start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion We're building the payment network of the future, and to achieve our goal, we need a diverse team with a range of perspectives and experiences. Here's where we stand: 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co founders of the Tech Zero coalition we're working towards a climate positive future. Check out our sustainability action plan here. Interested in building your career at GoCardless? Get future opportunities sent straight to your email.
