2310 jobs found

Telemetry and Observability Engineer (Inside IR-35) London / Hybrid (3 days on-site) I'm working with a global organisation building next-generation cloud-native and observability platforms at enterprise scale, and they're looking for a strong Senior Observability Engineer to join the team. This is a high-impact role focused on scalable telemetry pipelines, monitoring, alerting, reliability engineering, and embedding observability across complex distributed systems and Kubernetes environments. Key experience needed: Observability / SRE / Platform Engineering background OpenTelemetry , Prometheus, Grafana, Splunk, Elastic, Loki, or Jaeger Kubernetes, microservices, and cloud-native platforms Python, Go, or Java Terraform, Helm, and IaC SLIs, SLOs, alerting, and reliability engineering Financial services or regulated environment experience is a bonus. Great opportunity to work with cutting-edge technology, influence engineering standards, and help shape observability at enterprise scale. Interested? Drop me a message or send over your CV. Oscar Associates (UK) Limited is acting as an Employment Business in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Senior Data Engineer Location: Wakefield or Manchester - Flexible hybrid working Salary: £70,000-£80,000 + benefits Elevation Tech & Transformation are exclusively working with a growing, PE-backed business that is building out its internal data capability and investing heavily in a modern cloud data platform. This is a brilliant opportunity for a Senior Data Engineer who wants more than just another pipeline-building role. You'll be joining at a key stage of the journey, helping bring data engineering capability in-house, shape standards, improve governance and build a platform that genuinely supports better reporting, insight and decision-making across a complex group. The business is made up of multiple operating companies, each with its own systems, processes and ways of working. The challenge is pulling that data together into a common platform and turning it into something useful, trusted and commercially valuable. You'll need to be technically strong, but this role is just as much about mindset. The right person will be comfortable working with stakeholders who may not fully understand their systems or data, asking the right questions, digging into problems and translating messy business requirements into practical engineering solutions. What you'll be doing Building and improving cloud-based data pipelines and data models Supporting the development of a modern data platform using Google Cloud Platform and BigQuery Working with stakeholders across the business to understand data sources, reporting needs and commercial priorities Helping bring outsourced data engineering capability in-house Creating better structure around change control, deployment, CI/CD and engineering standards Supporting data governance, security and quality as new sources are onboarded Identifying quick wins while also protecting the long-term quality of the platform Working closely with BI, reporting, integration and technology teams What we're looking for Strong data engineering experience in a cloud environment Experience with GCP, AWS or Azure Strong SQL and ideally Python Good understanding of data warehousing, data modelling and reporting/insight platforms Experience working with CI/CD, Git and structured deployment processes An understanding of modern cloud data platforms and warehousing technologies such as BigQuery, Snowflake, Redshift, Synapse or Databricks Ability to work autonomously and prioritise your own workload Confidence working with non-technical stakeholders A pragmatic approach - able to balance best practice with commercial delivery GCP and BigQuery experience would be highly beneficial, but strong cloud data engineers from AWS or Azure backgrounds will also be considered if you're interested in moving into GCP. Why this role? This is a chance to join a business where data is genuinely on the board agenda. The programme is highly visible, CEO-sponsored and seen as a key part of the company's future growth. You'll have the opportunity to shape how the platform develops, influence standards, work across a varied group of businesses and see the impact of your work quickly. It would suit someone who enjoys building, problem-solving and improving things - not someone who wants a heavily governed corporate environment where every decision has already been made. Benefits £70,000-£80,000 salary Hybrid working across either Manchester or Wakefield 25 days holiday plus bank holidays Salary sacrifice pension scheme Life assurance Employee discounts across retail, tech, travel, gyms and more Supportive team culture with plenty of scope to learn and develop Interested? Apply today or contact Helenna Bell for further information and to apply.

Job Advertisement: M365 Identity & Integration Engineer Location: Leeds, 2 days per week in the office, Working Pattern: Via Umbrella Company Contract Length: 6 months Are you ready to embark on an exciting journey with a leading financial institution? Our client is seeking a talented M365 Identity & Integration Engineer to join their dynamic team! If you are passionate about technology and enjoy tackling challenges, this is the opportunity for you! Role Overview: As the M365 Identity & Integration Engineer, you will play a crucial role in the technical integration and ongoing operation of applications across the Workplace Technology portfolio. Your hands-on expertise will ensure that new and existing applications align with identity, security, governance, and operational processes. Get ready to collaborate with various teams, including Microsoft 365, Cyber Security, and Service Operations, to deliver secure and supportable solutions! Key Responsibilities: Lead Application Integration: Oversee the technical onboarding of applications from design to BAU support. Secure Integrations: Design and implement integrations with corporate services, including Entra ID/Active Directory and SSO (SAML, OIDC, OAuth). Collaborate with Stakeholders: Understand functional requirements and translate them into practical technical designs. Ensure Monitoring: Integrate applications with internal monitoring and support processes before go-live. SSO Support: Implement and support SSO integrations via Entra ID, managing app registrations and troubleshooting. Apply Security Controls: Enforce organizational standards, including Conditional Access, MFA, and secure account management. Support Security Assurance: Assist in architecture reviews, supplier security assessments, and remediation actions. Operational Artefacts: Produce and maintain support models, runbooks, and onboarding checklists. Technical Escalation Point: Act as a go-to for complex incidents related to authentication and access. Collaboration Across Teams: Work with platform teams to deliver cohesive solutions. Continuous Improvement: Identify and propose enhancements for integration and operational processes. Essential Skills & Experience: Strong experience with Microsoft Entra ID (Azure AD), including SSO and app registrations. Proficiency in Conditional Access/MFA design and operational troubleshooting. Understanding of identity governance concepts (RBAC, least privilege). Expertise in integrating SaaS platforms within regulated environments. Exceptional troubleshooting skills across authentication flows and related technologies. Nice-to-Have (Highly Desirable): Experience with Cisco Spaces or similar platforms. Familiarity with workplace analytics and data governance. Knowledge of Microsoft 365 services and integration points. Basic scripting/automation skills (PowerShell preferred). Desirable Qualifications: Relevant industry certifications (e.g., Microsoft Identity/Security/Azure fundamentals). ITIL v4 Foundation or equivalent service management certification. Experience with security frameworks like ISO27001 or Cyber Essentials Plus. If you're ready to take your career to the next level and contribute to a leading financial institution, we want to hear from you! Apply now and become a key player in shaping the future of Workplace Technology! Our client is committed to diversity and inclusion and encourages applications from all qualified candidates. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Lead Software Engineer (TypeScript / React Native) - Fully Remote Our client, a growing company based in London is seeking an experienced Lead Software Engineer to take ownership of the technology stack and guide the engineering team through this next phase of growth. This is a hands-on leadership role, combining technical delivery with strategic oversight. As Lead, you will act as a "player-coach": shipping critical code yourself while mentoring engineers, driving technical strategy, and ensuring the platform scales with rapid international growth. You will work closely with the founders, translating business goals into a clear technical roadmap and high-quality execution. What You'll Be Working On Mobile Apps: Core customer apps built with TypeScript, React Native, Expo. Backend: TypeScript, GCP/Firebase Cloud Functions, GCP Pub/Sub, Postgres, Prisma. Web Apps: Customer-facing portals for sign-up and account management (TypeScript, React, Vercel). Internal ERP: Mission control for stock, customers, and operations (TypeScript, Next.js, Vercel). A high-velocity release culture, deploying multiple times per day to tens of thousands of users. Key Responsibilities Lead end-to-end development and delivery of core features across mobile, backend, and internal tooling. Shape the technical roadmap and make high-impact architectural decisions in partnership with the founders. Own the quality, reliability, and performance of applications in production. Mentor engineers through code reviews, pairing, and establishing strong engineering practices. Drive AI-accelerated engineering productivity, leveraging modern tools to ship faster and smarter. Be hands-on: shipping code daily, unblocking the team, and taking responsibility for critical systems. Requirements Strong experience across the stack: TypeScript, React Native, React, Node, Postgres, GCP/Firebase. Full-stack mindset: comfortable working on mobile apps, web apps, backend, and SQL. Proven ability to write efficient, production-ready code that is reliable, observable, and maintainable. Comfortable with a fast-paced release culture (multiple deploys per day). Product-focused, with the ability to empathise with users and steer feature development. 5+ years of software engineering experience, ideally in a fast-moving startup or product-led environment. Strong problem-solving skills, ownership mentality, and ability to work in GMT-friendly time zones. Experience with AI-powered SWE tools (Cursor, Windsurf, v0, etc.) and enthusiasm for pushing productivity. Preferred: ability to work from the London office 3 days per week. Benefits Circa £100k per annum depending on experience & location Annual performance bonus of up to 15% Fully remote / hybrid working (GMT hours) Interested? Please Click Apply Now! Lead Software Engineer (TypeScript / React Native) - Fully Remote

Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Lead Data Scientist - Manchester My client is seeking a Lead Data Scientist to own and drive the end-to-end data science strategy across high-impact business domains (e.g., risk, fraud, affordability, customer value). This role will translate complex, real-world financial data into production-grade machine learning systems that deliver measurable commercial and customer outcomes. The successful candidate will lead model development from ideation through deployment and monitoring, working closely with Data Engineers, Analysts, Product, Risk, and Technology stakeholders. They will set standards for experimentation, governance, and MLOps while mentoring and developing other data scientists within the function. This is a hands-on technical leadership role - both strategic and delivery-focused. The Role Strategic & Technical Leadership Define and evolve the data science roadmap aligned to business priorities. Identify high-value ML use cases and translate commercial problems into scalable analytical solutions. Lead end-to-end model lifecycle delivery: problem framing, feature engineering, experimentation, validation, deployment, monitoring, and iteration. Establish best practices for experimentation, evaluation, reproducibility, and documentation. Set standards for model governance, explainability, monitoring, and auditability within a regulated financial environment. Machine Learning & Delivery Architect and develop robust ML models (e.g., classification, regression, anomaly detection) using Python and cloud-based tooling. Design scalable feature pipelines in collaboration with Data Engineering. Lead productionisation efforts, including pipeline design, model versioning, and monitoring frameworks. Implement safe deployment strategies (e.g., champion/challenger models, shadow runs, A/B testing). Ensure model performance, drift detection, and continuous improvement processes are embedded. Stakeholder Engagement Partner with Risk, Compliance, Product, and Technology teams to ensure solutions are commercially viable and regulator-ready. Communicate complex modelling approaches and outcomes clearly to senior stakeholders and non-technical audiences. Influence strategic decision-making through insight and evidence-based recommendations. Governance & Risk • Own model documentation (model cards, lineage, assumptions, validation evidence).• Embed privacy-by-design, fairness, and bias monitoring practices.• Operate confidently within FCA-regulated environments and support audit and regulatory requirements. Team Leadership • Mentor and coach junior and mid-level data scientists.• Lead code reviews and promote engineering best practice (Git, testing, CI/CD awareness).• Contribute to hiring, technical assessment, and capability development.• Foster a culture of curiosity, collaboration, and high performance. About the Candidate The ideal candidate is commercially minded, technically strong, and delivery-focused. They understand that high-quality models create value only when deployed safely and embedded into business processes. They will be comfortable owning ambiguity, setting direction, and raising technical standards. They will combine statistical rigour with pragmatic decision-making and be confident influencing senior stakeholders. They will enjoy mentoring others and developing team capability alongside delivering impactful work. What My Client Is Looking For: • Significant hands-on experience building and deploying machine learning models into production environments.• Strong Python expertise (e.g., pandas, scikit-learn, ML frameworks) with production-quality coding standards.• Advanced SQL skills and deep understanding of relational data.• Strong statistical foundations and model validation expertise.• Experience working within cloud-based data platforms (AWS or equivalent).• Demonstrable experience productionising models and implementing monitoring frameworks.• Experience operating within a regulated environment (financial services preferred).• Ability to communicate effectively with senior stakeholders.• Experience mentoring or leading other data scientists. Desirable • Experience in credit risk, fraud detection, affordability modelling, or payments analytics.• Familiarity with model risk management frameworks.• Exposure to MLOps tooling (CI/CD pipelines, automated testing, model registries).• Experience with model explainability techniques (e.g., SHAP, LIME).• Experience shaping data science roadmaps or leading multiple concurrent initiatives. Benefits Hybrid working Training and development budget Flexible working Interested? Please Click Apply Now! Lead Data Scientist - Manchester

Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Job Title: Quantitative Researcher Job Description This role offers the opportunity to play a key part in building an internal trading desk, acting as the analytical engine behind trading strategies, algorithms and product innovation. You will work across systematic trading, risk management and pricing, helping to shape how the trading platform operates and scales over time. The position suits someone who enjoys combining rigorous quantitative research with hands-on development in a fast-moving, equities-focused environment. Responsibilities Develop and refine systematic trading strategies within a mid-frequency, equities-focused environment. Conduct quantitative research to support and enhance existing trading strategies and identify new opportunities. Build and improve risk management processes and tooling to support systematic strategies. Design and implement research infrastructure, including robust back-testing frameworks and scalable data pipelines. Contribute to inventory management, hedging and pricing strategies to optimise trading performance. Help expand modelling capabilities across additional asset classes over time. Collaborate closely with trading and technology teams to translate research into production-ready models and tools. Monitor and evaluate model performance, making data-driven improvements and adjustments as needed. Essential Skills At least 4 years of experience in a quantitative research role, ideally within systematic trading, market making, or a quantitative fund. Proven experience in feature engineering and predictive model building. Solid understanding of risk management with a track record of working on systematic trading strategies. Strong experience in equities markets. Strong development skills in Python or R. Working understanding of risk management and optimisation software. Familiarity with market making or trading technology stacks. Ability to design and implement research infrastructure such as back-testing frameworks and data pipelines. Strong quantitative and analytical skills with a rigorous, data-driven approach to problem solving. Additional Skills & Qualifications experience in a retail flow, neo-broker, or market making environment. Advanced degree in mathematics, statistics, physics, or a related STEM field. experience with market microstructure is a strong plus. Comfort working in a small, fast-moving team where you are building systems and processes from the ground up. Ability to communicate complex quantitative concepts clearly to non-specialists. Proactive mindset with the ability to take ownership of projects from idea to implementation. Why Work Here? You will join a small, ambitious team where your work has a direct and visible impact on trading performance and the evolution of the platform. The environment encourages ownership, experimentation and continuous learning, giving you the freedom to shape research infrastructure and strategies from an early stage. You will collaborate closely with experienced professionals across trading and technology, gaining broad exposure rather than being confined to a narrow remit. This is an opportunity to work in a fast-moving setting that values initiative, intellectual curiosity and practical problem solving. Work Environment You will work in a modern, technology-driven trading environment focused on systematic, mid-frequency equities strategies. The role is highly collaborative, involving close interaction with traders, engineers and other quantitative researchers. You will use a contemporary quantitative technology stack, with Python and R at its core, supported by risk management and optimisation software, and trading or market making technology platforms. The setting is fast-paced and iterative, with an emphasis on building robust research infrastructure, including back-testing frameworks and scalable data pipelines. The team operates in a professional office environment where the focus is on delivering high-quality research and production-ready tools. Location London, UK Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. (phone number removed). Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at (url removed)> To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to (url removed)> We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at (url removed)/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.

Full Stack Engineer (TDD / C# / JavaScript) We are hiring a Full Stack Software Engineer with a strong test-driven development (TDD) background to help build the next generation of a mission-critical cybersecurity and communications platform used globally. This is a hands-on role focused on designing and delivering partner API integrations across a complex security ecosystem - including endpoint protection, network security, user awareness tooling, and monitoring systems. You'll work as part of a collaborative product team alongside full stack and front-end developers, supported by QA and DevOps, reporting into engineering leadership. Why This Role Matters The next-generation platform will provide customers with a unified view of security across distributed environments. As integrations expand, maintaining a high bar for quality, reliability, and test coverage is critical. This role will also play a key part in strengthening TDD practices across the team - leading through code and delivery. What You'll Do Design and build API integrations across a cybersecurity-focused product stack Deliver clean, maintainable full stack solutions using .NET and modern JavaScript frameworks Lead by example in test-driven development practices Integrate third-party systems using REST APIs, OAuth2, webhooks, and resilient patterns Contribute to a scalable, observable integration layer Collaborate with Product, QA, and DevOps to deliver high-quality releases Use AI-assisted development tools as part of your daily workflow Requirements (Must Have) Experience with C# / .NET Core Strong experience with ASP.NET Core / Web API Modern JavaScript / TypeScript experience Experience with a component-based SPA framework (e.g. Vue, React, or Angular) Proven, hands-on test-driven development experience Strong experience integrating third-party APIs (REST, OAuth2, webhooks, retries, rate limiting) Solid SQL skills (e.g. MariaDB or MySQL) Experience with Git workflows (branching, pull requests, code reviews) Regular user of AI-assisted development tools (e.g. Claude Code, Cursor, Copilot or similar) Strong ownership mindset and commitment to quality Nice to Have Commercial experience integrating AI APIs (e.g. Claude, Bedrock, OpenAI or similar) Experience with AWS (e.g. EC2, RDS, Lambda, S3) Microservices or distributed systems experience Familiarity with iterative product development methodologies Awareness of secure-by-design principles (e.g. ISO 27001) Background in SaaS or cybersecurity environments Benefits Hybrid working Excellent career development / Training budget Flexible working If you take pride in writing well-tested, production-grade code and want to contribute to building critical cybersecurity software used at global scale, we'd love to hear from you. Full Stack Engineer (TDD / C# / JavaScript)

Technical Lead - TypeScript/ React Native - Fully Remote Our client, a growing company based in London is seeking an experienced Tech Lead to take ownership of the technology stack and guide the engineering team through this next phase of growth. This is a hands-on leadership role, combining technical delivery with strategic oversight. As Tech Lead, you will act as a "player-coach": shipping critical code yourself while mentoring engineers, driving technical strategy, and ensuring the platform scales with rapid international growth. You will work closely with the founders, translating business goals into a clear technical roadmap and high-quality execution. What You'll Be Working On Mobile Apps: Core customer apps built with TypeScript, React Native, Expo. Backend: TypeScript, GCP/Firebase Cloud Functions, GCP Pub/Sub, Postgres, Prisma. Web Apps: Customer-facing portals for sign-up and account management (TypeScript, React, Vercel). Internal ERP: Mission control for stock, customers, and operations (TypeScript, Next.js, Vercel). A high-velocity release culture, deploying multiple times per day to tens of thousands of users. Key Responsibilities Lead end-to-end development and delivery of core features across mobile, backend, and internal tooling. Shape the technical roadmap and make high-impact architectural decisions in partnership with the founders. Own the quality, reliability, and performance of applications in production. Mentor engineers through code reviews, pairing, and establishing strong engineering practices. Drive AI-accelerated engineering productivity, leveraging modern tools to ship faster and smarter. Be hands-on: shipping code daily, unblocking the team, and taking responsibility for critical systems. Requirements Strong experience across the stack: TypeScript, React Native, React, Node, Postgres, GCP/Firebase. Full-stack mindset: comfortable working on mobile apps, web apps, backend, and SQL. Proven ability to write efficient, production-ready code that is reliable, observable, and maintainable. Comfortable with a fast-paced release culture (multiple deploys per day). Product-focused, with the ability to empathise with users and steer feature development. 5+ years of software engineering experience, ideally in a fast-moving startup or product-led environment. Strong problem-solving skills, ownership mentality, and ability to work in GMT-friendly time zones. Experience with AI-powered SWE tools (Cursor, Windsurf, v0, etc.) and enthusiasm for pushing productivity. Preferred: ability to work from the London office 3 days per week. Benefits £60-100k per annum depending on experience & location Annual performance bonus of up to 15% Fully remote / hybrid working (GMT hours) Interested? Please Click Apply Now! Tech Lead - TypeScript/ React Native

Software Engineers - Near Cambridge My client, a fast-growing AI company near Cambridge, is seeking talented Software Engineers to join a small but rapidly expanding development team. This is an exceptional opportunity to work across a wide variety of projects-from early-stage prototypes to fully developed products- helping to shape new technologies that solve complex, real-world challenges. First and foremost, our client cares far more about intellect, aptitude, attitude, and problem-solving ability than specific knowledge or years of experience. The right people can learn new languages, frameworks, and technologies quickly, so experience is a bonus, not a requirement. That said, the team currently uses many tools you might expect in a cutting-edge tech environment: Python, C++, JavaScript, React, OpenCV, TensorFlow, Torch, and others. They always choose the right tool for the job, not the other way around-so technologies may evolve as products and capabilities grow. If you are smart, curious, adaptable, and love solving difficult problems, this role is an excellent fit. Key Responsibilities Designing and developing software for both prototype systems and production-grade products Working across multiple projects simultaneously and adapting to varied technical challenges Collaborating with multidisciplinary engineers to integrate software with hardware, sensors, and complex systems Rapidly learning and applying new technologies, tools, and approaches Contributing to problem-solving throughout the entire development lifecycle Supporting software used to control hardware platforms, custom devices, or sensor systems Requirements Strong academic background (2:1 or above) in a STEM discipline (Computer Science, Physics, Engineering, Mathematics, etc.) Demonstrated ability to tackle complex or ambiguous technical problems Ability to work independently with minimal supervision Strong willingness and ability to learn new tools, languages, and technologies quickly Working knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, optimisation, statistics, or algorithm development Experience developing mobile applications (iOS or Android) Suitable for both graduates and experienced engineers with strong problem-solving skills and a desire to learn. Full UK work rights required (no sponsorship available) Interested? Please click "Apply Now"! Software Engineers - Near Cambridge

Software Engineer - TypeScript / Next.js / SQL A growing technology-led business is rebuilding and modernising its core systems - including operational workflows, integrations, reporting, customer tooling, and internal platforms. These systems play an important role in supporting day-to-day operations, service delivery, and business decision-making across the organisation. This role is ideal for someone who enjoys solving technical and operational problems, working across interconnected systems, and building reliable software in a collaborative engineering environment. AI-assisted development tools such as Claude Code and Cursor are already embedded into the team's workflow, and engineers are encouraged to use them to improve delivery efficiency while applying strong technical judgement. What You'll Be Doing Building and improving business-critical applications and internal systems Developing features across frontend and backend services using TypeScript, Next.js, and NestJS Supporting integrations, operational workflows, and customer-facing functionality Working closely with engineering, operations, and support teams to solve technical challenges Investigating bugs, edge cases, and data-related issues Writing scalable, maintainable, and reliable code Contributing to improvements in system reliability, documentation, and engineering practices Using AI-assisted development tools as part of day-to-day development workflows What They're Looking For Essential Commercial experience with TypeScript across frontend and backend development Experience with Next.js, NestJS, and modern web application architecture Strong SQL and data modelling skills, ideally PostgreSQL Experience working on production systems and business applications Good understanding of APIs, system integrations, and data flows Strong problem-solving and communication skills Ability to work collaboratively across technical and non-technical teams Desirable Go experience Experience with cloud infrastructure and API integrations Exposure to operational, finance, or data-heavy systems Familiarity with AI development tools such as Claude Code or Cursor Experience working in fast-paced product or operational environments Salary & Benefits Up to £55,000 depending on experience 25 days holiday + bank holidays Flexible working arrangements - 3 days office / 2 days remote Opportunity to work on systems central to business operations Interested? Please click Apply Now! Software Engineer - TypeScript / Next.js / SQL

Job Description Aircraft Concept Evaluation Engineer Derby / Hybrid - 3 days on site per week Full time Why Rolls-Royce? At Rolls-Royce we are proud to be a business that has truly helped to shape the modern world and are committed to always being a force for progress; powering, protecting and connecting people everywhere. By joining Rolls-Royce, you'll have the opportunity to work on world-class solutions, supported by a culture that believes individuality is our greatest strength, and all perspectives, experiences and backgrounds help us innovate and enable our high-performance culture. A unique opportunity has arisen for an Aircraft Concept Evaluation Engineer to join our Aircraft Evaluation team in Derby. The team is part of the Whole Aircraft Group in Platform System Analysis, and the Group provides aircraft evaluation and flight operations engineering capability to the business. In this role, you will analyse whole aircraft characteristics and requirements to ensure competitiveness of new engine designs. You will create preliminary views of competitive positions of aircraft and engines in terms of payload capability, fuel burn, economics, forecast customer thrust usage. We are looking for an individual who will perform analyses and actively seek opportunities to improve our aircraft conceptual evaluation capability which influence engine design and operation. What you will be doing: You will assess the performance of whole aircraft concepts, and you will work with various stakeholders within our Civil Aerospace Business mainly across Engineering and Customer Team functions. You will; Assess overall performance of aircraft concepts and integrate powerplant solutions to ensure top level aircraft requirements are met Integrate with engine project teams, sales and marketing, systems engineering, environmental specialists, and sub-systems design to evaluate engine design at aircraft level. Synthesize and integrate multidisciplinary information regarding aircraft design, performance and operation and actively collaborate in the evolution of engine design throughout the various development phases Perform technical studies on vehicle performance of new and existing aircraft, ranging from high level competitive assessments to detail flight segment analysis Develop and improve aircraft performance and conceptual evaluation methods and tools Provide consultancy service to all parts of the aerospace business and develops methods and tools to enable the assessment and understanding of aircraft performance and operation Use your aircraft performance understanding in support of a wide range of tasks within the Whole Aircraft Group, including campaign support, engine lifing assessments and customer engagements Who we are looking for: At Rolls-Royce we embrace agility, are bold, pursue collaboration and seek simplicity in everything we do. These principles form our values and behaviours and are an essential component of our assessment process and are fundamental qualities that we seek for all roles. Experience of assessing the performance of whole aircraft concepts Degree in Aerospace Engineering or equivalent preferred. Knowledge and experience of aircraft evaluation, performance, and operation Enthusiasm and knowledge of commercial aviation landscape, from commuter to widebody aircraft. Understanding of gas turbine performance fundamentals. Ability to understand and synthesize information from numerous sources into a consistent argument Good communication and presentation skills, and be comfortable discussing with people at all levels of the organisation Ability to deal with different stakeholders and subjects Working knowledge of one or more programming languages (C#, Matlab, Python, SQL) Regional Benefits Generous Annual Leave Retirement Savings through the Rolls Royce Retirement Savings Trust Group Life Assurance provides for a lump sum benefit if you die whilst employed by Rolls-Royce Group Income Protection provides an income in the event that you are unable to work due to illness or injury Your Shares: Matched is a simple way to own Rolls-Royce shares and invest in our future, together. Buy one share, get one free! Rolls-Royce Your Shares: Matched Digital GP provides a convenient way for you to access GP consultations Employee Assistance (EAP) and Live Well programmes Our vision is to ensure that the excellence and ingenuity that shaped our history continues into our future. Our multi-year transformation programme aims to turn Rolls-Royce into a high-performing, competitive, resilient and growing company. Join us, and it can be your future vision too. Rolls-Royce are committed to being a respectful, inclusive, and non-discriminatory workplace where individuality is valued, diverse perspectives fuel innovation, and everyone can thrive. Closing Date: 22nd June 2026 As part of our selection process, candidates in certain locations may be asked to complete an online assessment, which can include cognitive and behavioural aptitude testing relevant to the role. If required, full instructions for the next steps will be provided. Job Category Mechanical Systems Posting Date 08 Jun 2026; 00:06 Posting End Date 22 Jun 2026PandoLogic.

Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Lead Software Engineer - MongoDB / Node.js / JavaScript As a Lead Engineer, you'll play a pivotal role in shaping the technical direction of the product. You'll guide a talented squad of engineers, drive architectural decisions, and deliver scalable backend systems that directly impact thousands of users. This is a hands-on leadership role where you'll balance technical excellence with mentorship, collaboration, and strategic thinking. What You'll Be Doing Technical Leadership Set the technical direction and lead architectural decision-making Mentor and support junior and senior engineers Conduct code reviews and uphold engineering best practices Backend Engineering Build and maintain scalable backend services and RESTful APIs Design and optimise MongoDB database solutions Improve and maintain existing backend infrastructure Troubleshoot production issues and implement robust solutions Collaboration & Delivery Work closely with cross-functional teams to deliver meaningful customer outcomes Participate in technical interviews and help grow the engineering team Drive improvements in processes, tooling, and development practices Core Technical Skills You'll thrive if you have experience with: MongoDB (data modelling, indexing, aggregation, performance tuning) Node.js and the wider JavaScript/TypeScript ecosystem Express.js and/or Fastify RESTful API design AWS or similar cloud platforms Microservices architecture Testing frameworks (Vitest, Jest, Mocha, etc.) CI/CD pipelines & DevOps practices GitHub workflows Observability tools (e.g., DataDog) Docker / Kubernetes Tech Stack You'll Be Working With Node.js, JavaScript/TypeScript Express.js, Fastify MongoDB AWS Vue.js, Nuxt.js Nice to Have - AI Experience Not essential, but a big bonus: Integrating AI/ML models Working with LLM APIs (OpenAI, Anthropic, etc.) Prompt engineering AI workflow tools (LangChain, Flowise) Building internal AI automation tools Benefits This company genuinely invests in its people. You'll enjoy: Remote-first working with offices in London, Manchester Flexible hours 25 days annual leave + 8 bank holidays + 2 Christmas shutdown days Option to purchase an extra week off Interested? Please Click Apply Now!

Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Infrastructure Engineer (Performance Optimization) Role Type: 6-Month Contract (Remote, UK-based) Rate: Upto £650 Per Day (Umbrella / Inside IR35) Role Summary Seeking a hands-on Infrastructure Engineer to join a newly formed Performance Optimization Squad within a massive-scale production platform. Key Responsibilities Execute Optimizations: Drive well-scoped initiatives to completion, including compute resource rightsizing, JVM tuning, and workload placement. Build Automation: Implement infrastructure changes and build automation to scale impact across the fleet. Collaborate: Work within a focused team of 4 engineers, a data analyst, and an engineering manager. Core Requirements Experience: 5 years in Infrastructure, Platform, or Backend engineering roles. Kubernetes: Solid experience with Kubernetes (ideally GKE ). Coding: Proficiency in at least two of: Java, Go, or Python (strong scripting/automation skills preferred). Cloud Platform: Comfortable with GCP (compute, networking, IAM, cost monitoring). Tooling: Familiarity with IaC ( Terraform, Helm ) and CI/CD pipelines. Preferred Qualifications Background in Reliability Engineering / SRE (SLOs, error budgets, safe rollouts). Experience with JVM-based services at scale. Familiarity with GCP Billing or BigQuery cost exports. Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Lead Software Engineer (Java / Typescript) We are looking for a highly skilled Lead Software Engineer to take ownership of one of our clients core platform systems. In this pivotal role, you will guide a talented engineering team, ensuring the stability, performance, and ongoing evolution of a mission-critical product area. You'll balance technical leadership with hands-on engineering, driving new feature development while continuously enhancing the existing platform. Collaborating closely with architects, product stakeholders, and cross-functional teams, you will help shape the technical roadmap and ensure our systems remain scalable, reliable, and innovative. Key Responsibilities Technical Leadership: Provide technical direction across the software development lifecycle, ensuring alignment with internal standards and best practices. Hands-On Coding: Contribute directly to the codebase and support sprint goals with high-quality engineering work. Team Leadership & Coaching: Manage and mentor a small team of software engineers, fostering collaboration, growth, and engineering excellence. Skills, Knowledge & Expertise Strong Software Development Background, with proven proficiency in Java and TypeScript. Commercial AWS Experience, including solid understanding of core cloud services. NoSQL Expertise, with hands-on experience in at least one NoSQL technology (Cassandra experience is a plus). Search Technologies: Understanding of search indexing and practical exposure to at least one search platform (Solr experience beneficial). CI/CD Proficiency: Deep understanding of the software development lifecycle, automation best practices, and modern CI/CD tooling. Scalable System Design: Experience designing, building, and maintaining highly available, scalable systems. API Design: Familiarity with best practices for REST and GraphQL API design. Education & Experience Experience working with complex, mission-critical systems. Previous experience in a SaaS environment is a plus. Lead Software Engineer (Java / Typescript)