Trabajos design engineering en Reino Unido - Page 3

CTO – Digital Assets Build the platform, shape the org, set the roadmap. We are currently supporting a client in the digital assets space to hire a CTO to own their technology strategy, build-out, and credibility with regulators and capital providers. This is a hands-on, entrepreneurial role for a crypto/fintech engineering leader who has built platforms before and can both set the strategy and work directly with developers. Technology Strategy & Roadmap • Define and maintain technology vision and architecture roadmap., • Align tech priorities with business goals, regulatory demands, and investor milestones., • Assess current systems (including a Salesforce-centric core stack) and design a scalable, secure target architecture., • Ensure the platform can support multi-channel growth (D2C, RIA, Family Office, B2B2C)., • Evaluate current team structure, skills and ways of working., • Recommend the go-forward org design (roles, hiring, outsourcing, leadership model)., • Integrate the product roadmap with realistic technology execution., • Partner with the CEO and leadership team on overall company strategy., • Represent technology in investor meetings and board sessions, giving credible, detailed answers., • Review current security posture and define a regulatory-compliant roadmap across UK/US/CH., • Prepare for institutional-grade certifications (e.g. SOC 2, ISO 27001) and audits. About you • Senior engineering leader (VP/CTO-level) with experience in crypto, digital assets or fintech., • Proven track record building and scaling platforms, not just maintaining them., • Comfortable being hands-on with the codebase and the dev team while also operating at board/investor level., • Deep focus on security, risk, and regulatory readiness in financial services., • Entrepreneurial mindset: comfortable with ambiguity, pace, and building the organisation as well as the product.

Python Developer | AI x Healthcare Data £65k to £90k base + ~1% equity + benefits Hybrid in London. At least 3 days on site The mission: Build an AI indexed knowledge graph of doctors and a search layer that helps teams plan go to market with data, not guesswork. Own backend services that power search, data flows, and product features. What you will do • Build Python services and APIs that ship to production, • Operate and tune Elasticsearch for relevance, indexing, and pagination, • Design schemas and pipelines across Postgres and MongoDB, • Run CI and CD, improve build times, handle deployments and rollbacks, • Collaborate with data and ML to productionise models, • Instrument for observability and own incidents end to end What you will bring • 1+ year engineering with strong Python in production, • Hands on Elasticsearch experience, • Solid SQL plus practical MongoDB, • CI and CD experience, version control best practice, • Comfortable with Azure or Google Cloud, • Product mindset, clear communication, UK work rights, 3 days on site Why this is worth your time • High ownership on core systems with visible user impact, • Early equity with room to grow, • Fast cycles, pragmatic engineering, zero theatrics, • Senior peers and in person collaboration The process Screening chat, technical screen, on site super day covering coding, system design, and execution. References, then offer. Adjustments available. Understanding Recruitment is acting as an employment agency for this vacancy. We welcome applicants from all backgrounds and provide reasonable adjustment

Backend Developer | London (3 days in the office) | Perm | Up to £80,000 p.a Peaple Talent have partnered with an outstanding client in London looking to recruit 2 Backend Developers to work within in-house business systems development team. You will be focused on driving continual improvement by specifying, developing, and testing key improvements to processes, integrations with key business platforms such as ERP. Key Responsibilities: • Carry out development to agreed requirements aligned with the business needs and objectives., • Solve problems through automation and obtain backing from others in the business to see the benefits of your work., • Follow Agile sprint methodology., • Collaborate with cross-functional teams to design, test, and implement solutions., • Represent IT in development project meetings, taking ownership of tasks. Key Experience Required: • Proven experience in enterprise software development and SDLC., • Task orientated, able to work to fixed deadlines and SLAs., • Previous development experience within Python, ideally with experience in Flask and REST APIs., • Proficient with performance tuning, debugging, and secure coding practices., • Strong Microsoft Azure Integration Services (e.g. LogicApps, ServiceBus, API Management etc)., • In-depth understanding of system design, CI/CD, GIT, and engineering best practices. The Package: • Basic annual salary up to £80,000 p.a., • Annual bonus scheme., • 25 days annual leave, plus bank holidays., • Private Medical Insurance (covering medical, dental and optical)., • Life Assurance of 4x your annual salary., • EAP Programme., • Pension Scheme. If you are interested in this position, please apply directly on LinkedIn with an up to date copy of your CV.

IT Security Engineer Feltham (Hybrid) £50,000 Base + Benefits Overview The IT Security Engineer is responsible for designing, implementing, and maintaining the security controls that protect the organization’s systems, networks, and data. This role works closely with IT, DevOps, and business teams to ensure that security is embedded throughout technology operations and architecture. The IT Security Engineer is key to detecting, preventing, and responding to cybersecurity threats in a proactive and efficient manner. Key Responsibilities: Security Architecture & Implementation • Design, deploy, and manage security solutions including firewalls, intrusion detection/prevention systems, endpoint protection, SIEM, and identity management platforms., • Implement secure network architecture and enforce segmentation and least-privilege access controls., • Support secure cloud environments across Azure, AWS, or GCP (e.g., IAM, security groups, encryption, KMS). Threat Detection & Incident Response • Monitor and analyze security alerts and network traffic for threats or suspicious activity., • Lead or support incident response activities: investigation, containment, eradication, recovery, and reporting., • Conduct root cause analysis and implement security hardening improvements. Vulnerability & Risk Management • Run regular vulnerability scans and penetration testing activities; track remediation of findings., • Evaluate risks and recommend security enhancements or compensating controls., • Maintain asset inventories and ensure patching and configuration baselines are followed. Security Governance & Compliance • Contribute to maintaining security standards and aligning with frameworks such as ISO 27001, NIST, CIS, or SOC 2., • Support audits, evidence collection, and compliance reporting (e.g., GDPR, PCI-DSS)., • Develop and maintain documentation for policies, procedures, architecture, and runbooks. Collaboration & Knowledge Sharing • Work with IT operations, cloud, and development teams to embed security in system and application designs., • Provide expert security guidance during solution design, procurement, and change reviews., • Support security awareness training and communicate best practices to employees. Qualifications • Education: Bachelor’s degree in information security, Computer Science, Networking, or a related field., • Experience: 3+ years’ experience in cybersecurity, network engineering, or IT infrastructure security roles., • Certifications (Preferred): CompTIA Security+, CEH, OSCP, CISSP, CCSP, Azure/AWS security certifications. Skills & Competencies • Strong knowledge of network security (TCP/IP, VPNs, DNS, firewalls)., • Experience with SIEM tools (e.g., Splunk, Sentinel, QRadar) and EDR platforms., • Familiarity with scripting or automation (PowerShell, Python, Bash)., • Understanding of secure cloud architecture and Zero Trust principles., • Ability to analyze complex technical issues and communicate clearly to technical and non-technical audiences.

🚀 AI/Data Engineer (AI) 📍 Location: London (Hybrid – 1 every other week) 💼 up to £600 a day (Inside IR35) The Role As a Data Engineer, you’ll join our cross-functional Product team of software engineers, ML specialists, domain experts, and product leads. You’ll design, build, and deploy AI capabilities that empower intelligence analysts to make faster, sharper, and more confident decisions. This role is for someone who thrives on solving complex real-world problems, can balance technical depth with product impact, and wants to own their work from experimentation through to production. What we’re looking for • 3+ years of hands-on engineering experience in production environments., • Strong Python skills., • Experience with Generative AI: LLMs and RAG., • Adapting LLM for use as a Q&A System. 👉 Apply now and help define the future of Defence AI.

A leading multi-strategy investment firm is seeking a Senior AI Engineer to join a high-impact Applied AI team focused on building next-generation tools that enhance decision-making across the investment lifecycle. Operating at the intersection of finance and machine intelligence, the team is responsible for developing production-grade AI systems that empower portfolio managers, analysts, and researchers with intelligent, data-driven capabilities. About the Role This is a senior-level engineering position within a cross-functional team that blends AI research, software engineering, and large-scale data integration. You'll play a key role in designing and deploying robust AI infrastructure, with a particular focus on knowledge representation, intelligent retrieval systems, and the seamless integration of AI models into production environments. You'll collaborate closely with ML researchers, frontend engineers, and stakeholders across the business to deliver scalable, high-performance applications that bridge structured and unstructured data. Key Responsibilities • Design and build intelligent data retrieval systems that power AI-driven investment tools., • Collaborate with ML researchers to prototype, develop, and deploy new AI/ML products., • Work with frontend engineers to integrate backend systems into user-facing applications., • Lead architectural decisions and contribute to the evolution of AI infrastructure., • Participate in the full software development lifecycle, from design through deployment and support., • Mentor junior engineers and contribute to a culture of technical excellence., • Support critical infrastructure through on-call rotations and incident response. Ideal Candidate Profile • 8+ years of professional software engineering experience, with at least 3 years focused on backend AI systems., • Strong Python skills and deep familiarity with ML libraries and frameworks., • Experience designing and deploying knowledge graphs and working with graph databases (e.g. Neo4j, Amazon Neptune)., • Proficient in both SQL and NoSQL databases, with a strong understanding of data modelling and integration., • Experience building APIs (REST, gRPC) and working with containerised environments (Docker, Kubernetes)., • Solid grasp of distributed systems, networking, and infrastructure-as-code practices., • Familiarity with vector databases, retrieval-augmented generation (RAG), and LLM integration is a plus., • Exposure to cloud platforms (AWS preferred) and messaging systems (Kafka, RabbitMQ) is advantageous., • Strong communication skills and the ability to work across technical and non-technical teams., • Knowledge of financial markets or investment workflows is a bonus, but not required. If you're excited by the opportunity to shape how AI is applied in a high-performance investment environment, we'd love to hear from you.

Forward Deployed Software Engineer (Python / TypeScript) Are you a software engineer who thrives in a fast-moving, product-focused environment? We’re looking for a talented Python and TypeScript Engineer to join a high-performing team building scalable, modern applications from the ground up. You’ll be working across the full stack — designing APIs, building clean, maintainable code, and collaborating closely with product and design teams to deliver elegant, high-impact solutions. What you’ll be doing: • Developing high-quality backend services in Python (FastAPI, Django or Flask)., • Building and maintaining front-end components in TypeScript (React or Next.js)., • Designing RESTful and GraphQL APIs., • Writing clean, testable code with CI/CD pipelines., • 2+ years’ experience with Python and TypeScript in production environments., • Solid understanding of modern software engineering practices (testing, version control, code review, CI/CD)., • Experience with cloud environments (AWS, GCP, or Azure)., • Experience with Docker/Kubernetes., • Familiarity with serverless or microservice architectures. You’ll be part of a forward-thinking tech team where autonomy, impact, and growth are core values. You’ll work on meaningful projects, ship code that matters, and be surrounded by people who care about building great products.

Lead Data Engineer As a Lead Data Engineer, you’ll be instrumental in driving innovation through advanced analytics, AI, cloud technologies, and data science. You will help build a new Data & Analytics function and unified data platform. Key Responsibilities: • Develop and execute a data engineering strategy that aligns with organisational goals and technological advancements., • Design and implement a scalable, reliable, and cost-efficient modern cloud data platform., • Build and maintain robust ETL/ELT pipelines for processing and managing large volumes of structured and unstructured data., • Create and manage Power BI dashboards, reports, and data models to provide strategic insights., • Integrate cutting-edge technologies like AI, real-time analytics, and automation into our data infrastructure., • Lead operational AI initiatives, including the development of machine learning models for predictive analytics. Technical Skills: • Proficiency in cloud platforms (Azure, AWS, or GCP) and data processing services., • Advanced skills in Power BI, including DAX, Power Query, and data modelling., • Strong programming abilities in Python, SQL, and/or Scala., • Expertise in ETL/ELT processes, data warehousing, and data mesh architectures., • Familiarity with AI/ML concepts and their application in data analytics., • Experience with metadata management, data lineage tracking, and data cataloguing., • Knowledge of serverless data processing, event-driven architectures, and modern data stacks.

Senior Machine Learning Engineer x2 days a week on UK client site, optional London HQ visits About the Company We’re partnering with a specialist AI and data consultancy that designs and deploys bespoke machine learning systems across sectors such as national security, defence, critical infrastructure, and digital public services. Their focus is on delivering safe, production-grade AI solutions that drive real-world outcomes for complex, high-stakes environments. This is a fast-paced, technically elite environment, ideal for someone who thrives on solving operational challenges, building robust MLOps infrastructure, and leading the delivery of AI systems at scale. The Role As a Senior Machine Learning Engineer, you’ll be part of cross-functional delivery teams working on technically complex, high-impact AI projects. You’ll play a central role in designing and building the ML architecture (from infrastructure and deployment to tooling and automation) to ensure that solutions are not only technically sound, but also scalable, maintainable, and secure. This is a hands-on role with scope for team leadership, stakeholder engagement, and shaping best practices around modern MLOps. You’ll work alongside data scientists, engineers, designers, and product stakeholders often embedded within mission-critical delivery environments. Key Responsibilities • Lead the design and build of production-ready machine learning pipelines and systems, • Develop infrastructure and tooling to enable deployment, monitoring, and retraining of ML models, • Work across the full AI delivery lifecycle, from architecture and integration to performance optimisation, • Collaborate with customers and stakeholders to understand operational constraints and align on solution design, • Mentor junior engineers and shape internal technical standards for software quality, reliability, and reproducibility, • Support the continuous improvement of delivery practices, internal tooling, and knowledge sharing across teams What We’re Looking For • Strong software engineering skills, especially in Python., • Experience building robust systems for ML applications, • Proven track record deploying machine learning models in production (using frameworks such as Scikit-learn, TensorFlow, or PyTorch), • Practical experience working with cloud infrastructure (e.g., AWS, Azure, GCP) and a good understanding of architecture, security, and scaling, • Hands-on experience with Docker and Kubernetes in real-world engineering workflows, • Solid grasp of ML fundamentals: supervised/unsupervised learning, statistical modelling, evaluation, • A pragmatic approach to engineering capable of balancing speed, risk, and delivery in complex environments, • Excellent communication and collaboration skills, especially in client-facing settings, • Prior experience in a fast-paced or start-up environment is highly valued If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via (feel free to include a CV for review).

Job Title: Software Engineer (AI Agents) - Mid and Senior positions open We’re looking for a Software Engineer to join a fast-growing AI company building next generation agent technology that supports millions of users globally. You’ll work on deploying intelligent, scalable AI systems that directly shape how leading organisations deliver exceptional customer experiences. The Team You’ll join a small, high impact engineering group focused on designing, building, and deploying mission critical AI agents that work alongside human teams across industries like finance, healthcare, and hospitality. The team thrives on creativity, ownership, and solving complex technical challenges at scale. The Role This is an opportunity to own projects end to end, from concept through to deployment and iteration. You’ll collaborate directly with customers, build production grade AI systems, and shape the evolution of a cutting edge AI platform. We’re especially interested in engineers coming from high growth startups (Series A to C) or high frequency trading environments, who are comfortable working in fast-paced, ownership-driven settings and building systems that operate at scale. What You’ll Do • Design and develop AI agents that handle complex customer interactions and improve retention, • Identify cross customer insights to guide platform innovation and research, • Experiment with the latest text and voice models and integrate them into enterprise scale environments What We’re Looking For • 2+ years of industry experience in software engineering, • Strong skills in Python, TypeScript, and asynchronous programming, • Comfortable investigating and resolving deep system issues across complex stacks, • Experience in high performance, high scale, or latency-sensitive systems is a strong plus, • Able to work full time on-site 5 days per week in Central London Nice to Have • Experience working with multi modal models Benefits • Salary up to £250K per year, • Comprehensive medical, dental, and vision coverage, • Flexible “take what you need” vacation policy, • Daily lunches, dinners, and snacks provided

Managing Consultant, Data & AI - Pre-Sales & Solutions Engineering Shoreditch, London (Hybrid – 2 days/week in office) Overview: A rapidly growing digital consultancy is seeking a Managing Consultant, Data & AI to join its London team. This individual will play a key role in bridging the gap between technical delivery and business development—helping clients define, architect, and visualize innovative digital solutions. Key Responsibilities: • Collaborate with sales and delivery teams to design scalable, cloud-based solutions across multiple technology stacks., • Develop proofs of concept (POCs), architecture diagrams, and code demos to demonstrate technical capabilities and solution approaches., • Build client confidence through technical authority, clear communication, and deep understanding of technology., • Work closely with cross-functional teams—largely based in India—to deliver end-to-end proposals and solution frameworks., • Provide architectural guidance during the pre-sales phase and ensure smooth handover to delivery teams. Required Skills & Experience: • Experience in solution architecture, pre-sales engineering, or related roles within a consulting or digital services environment., • Strong cloud expertise with AWS or Google Cloud Platform (GCP)., • Ability to work across multiple platforms and technology stacks; Python experience is highly desirable., • Demonstrated experience creating architecture documentation, technical diagrams, and working prototypes., • Excellent communication and stakeholder management skills, with the ability to build trust and credibility quickly., • Experience operating at a Senior Manager or Managing Consultant level within a consultancy environment

Senior Software Engineer Location: London 1x a month Salary: £75,000 - £95,000 + equity + benefits An established, global technology business within the hospitality-tech industry is seeking a talented Backend Software Engineer to help build and scale cutting-edge digital solutions. This is a chance to work on greenfield projects - building new, scalable products that help venues create seamless, data-driven guest experiences from the ground up. What will I be doing? • Design, develop, test, and maintain high-performance backend systems supporting real-time hospitality operations., • Take ownership of key features throughout the software development lifecycle - from technical design through to deployment and ongoing optimisation., • Collaborate with cross-functional teams including product, design, and data science to deliver innovative, customer-focused solutions., • Work with modern technologies such as Python, Django, Cloud Firestore, BigQuery, and Elasticsearch to deliver scalable, reliable software., • Contribute to continuous improvement by identifying opportunities to enhance system architecture and code quality., • Participate in code reviews, mentoring, and knowledge sharing to maintain engineering excellence. What do I need to be successful: • Degree in Computer Science or equivalent industry experience., • 3+ years' experience in backend software development within a fast-paced, agile environment., • Strong proficiency in Python (or similar modern backend language) and experience building RESTful APIs or microservices., • Solid understanding of data structures, algorithms, and software design principles., • Experience with cloud-based infrastructure (Google Cloud, AWS, or Azure), • Passion for building customer-centric products and working collaboratively to solve complex technical challenges. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.

Senior Backend Developer Location: London - 1x a month Salary: Up to £95,000 (D.O.E) + benefits Fruition Group working with a leading Insurtech unicorn on a mission to transform the insurance industry. Their products have already generated millions in revenue, and now they're investing heavily in new innovations that will shape the sector for years to come. This is an exciting opportunity for a motivated Senior Engineer who wants to grow in a high-performing, forward-thinking business. As a Senior Backend Engineer, you'll play a central role in building and scaling the systems that power their insurance platform. You'll focus on developing Python-based cloud microservices (FastAPI preferred), contributing to the architecture of resilient, high-performance systems, and collaborating with a cross-functional team to deliver features at pace. This is a hands-on engineering position with plenty of scope to influence technical direction, improve processes, and grow your expertise in distributed systems. What will I be doing: • Design, develop, and maintain Python microservices (FastAPI) running in production., • Take ownership of features end-to-end, from design to deployment and monitoring., • Write high-quality, testable code with a focus on scalability and resilience., • Collaborate closely with engineers, product managers, and designers to deliver quickly., • Contribute to evolving architecture, tooling, and CI/CD practices. What experience do I need: • Strong background in Python development (FastAPI, Flask, or Django)., • Good knowledge of microservices, APIs, and cloud-based infrastructure., • Experience with SQL and NoSQL databases, Git, and CI/CD workflows., • Solid engineering fundamentals - data structures, OOP, debugging, and testing., • Collaborative, curious, and eager to experiment with AI tools to improve productivity. If this position sounds of interest, please apply and a member of the team will be in touch to discuss further. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age.

£550-£600pd Outside IR35 Remote - UK based applicants only 6 months A leading eCommerce brand is looking for a Data Platform Engineer to play a key role in evolving their data ecosystem. This is an exciting opportunity to shape how data is built, governed, and leveraged across the business, supporting a platform that impacts millions of users daily. THE COMPANY This brand is recognised for its innovation and community-driven approach. With data at the heart of its decision-making, they're investing heavily in scalable, modern data platforms to enable better insights, experimentation, and product development. You'll join a collaborative engineering culture that values autonomy, technical excellence, and continuous improvement. THE ROLE As a Data Platform Engineer, you'll be responsible for developing and scaling the company's core data platform, ensuring teams across the business can access, trust, and use data effectively. You'll drive initiatives that improve data quality, observability, and governance, while helping shape a platform-as-a-product mindset. Key responsibilities include: * Building and maintaining data infrastructure: Develop microservices, pipelines, and backend systems that power analytics and machine learning initiatives. * Driving platform evolution: Design and implement scalable, secure, and efficient data services using tools such as Terraform, Docker, and AWS. * Data governance and observability: Introduce and enhance tooling for data lineage, contracts, monitoring, and cataloguing. * Operational excellence: Lead automation, monitoring, and incident response to maintain high platform reliability. * Cross-functional collaboration: Work with data scientists, ML engineers, analysts, and product teams to understand and meet their data needs. * Mentorship and culture: Support the growth of peers through knowledge sharing and by championing engineering best practices. YOUR SKILLS AND EXPERIENCE The successful candidate will have: * Strong experience in Python and a solid foundation in software engineering best practices (testing, CI/CD, automation). * Proven track record of designing, building, and scaling data platforms in production environments. * Hands-on experience with big data technologies such as Airflow, DBT, Databricks, and data catalogue/observability tools (e.g. Monte Carlo, Atlan, Datahub). * Knowledge of cloud infrastructure (AWS or GCP) - including services such as S3, RDS, EMR, ECS, IAM. * Experience with DevOps tooling, particularly Terraform and CI/CD pipelines (e.g. Jenkins). * A proactive, growth-oriented mindset with a passion for modern data and platform technologies. Nice to Have: * Experience implementing data governance and observability stacks (lineage, data contracts, quality monitoring). * Knowledge of data lake formats (Delta Lake, Parquet, Iceberg, Hudi). * Familiarity with containerisation and streaming technologies (Docker, Kubernetes, Kafka, Flink). * Exposure to lakehouse or medallion architectures within Databricks.

C++ Low Latency Developer | Buy-Side | Relocation to APAC - Singapore / HK A leading buy-side firm is seeking a C++ Low Latency Developer to join its fast-paced trading environment. The ideal candidate will have strong experience developing high-performance systems within financial markets and a passion for optimization and low-level engineering. Key Responsibilities • Design, develop, and optimize low-latency C++ systems for trading applications., • Collaborate with quantitative and infrastructure teams to improve performance and stability., • Contribute to system architecture and scalability across global trading platforms., • Maintain high coding standards, ensuring reliability and speed in production systems. Requirements • 3+ years of professional experience in C++ development., • Proven background in low-latency systems within financial services., • Deep understanding of data structures, algorithms, and performance tuning., • Experience in multi-threading, network programming, and Linux environments., • Excellent problem-solving skills and attention to detail., • Open to relocation to APAC (support provided for candidates from Europe/UK). If you are interested in this exciting opportunity or would like to explore other roles, please send your detailed resume to . About BAH Partners: BAH Partners is the leading supplier of top technology talent to Asia Pacific’s premier technology-driven organisations across the banking, trading, FinTech, and e-commerce sectors.

Lead Data Engineer Opportunity: Permanent Salary: Up to £85k Hybrid: 2 days per week onsite Office Location: Central London Our client a UK-based fintech are seeking a Lead Data Engineer to take ownership of their data infrastructure and play a pivotal role in powering AI-driven decision-making across the organisation. You'll be the architect behind the data systems that fuel both business intelligence and cutting-edge AI capabilities. Key Responsibilities • Architect and own the data warehouse infrastructure, ensuring optimal performance and accessibility, • Design, build, and maintain ELT pipelines that integrate internal systems and external partner data, • Collaborate with stakeholders and customers to deliver actionable insights and refined data models, • Resolve production issues, bugs, and participate in code reviews to maintain engineering quality, • Mentor team members and champion emerging technologies to advance our data capabilities Technical Skills • Deep expertise in SQL and database design principles, • Hands-on experience with modern data warehousing platforms (Snowflake, PostgreSQL, MySQL), • Proficiency in Python for data engineering tasks, • Experience building and maintaining production ELT/ETL pipelines Services offered by Computappoint Limited are those of an Employment Business and/or Employment Agency in relation to this vacancy.

Job Title: Data Science Architect – Capability and Practice Assessment The Data Science Architect measures how data science is actually done and how mature those processes are Role Summary The Data Science Architect will assess the maturity and effectiveness of data science practices across teams, focusing on how data science is structured, executed, and governed within the organization. Unlike the AI Architect, who evaluates individual AI capability, and the Data & AI Architect, who focuses on technical systems and platform maturity, this role centers on evaluating analytical workflows, modeling standards, experimentation culture, and applied business impact. This position is ideal for someone with a strong background in applied data science, model lifecycle design, and organizational data maturity — capable of analyzing current practices and defining what “best-in-class” looks like for scalable, responsible, and high-impact data science operations. Key Responsibilities • Practice Maturity Assessment: Evaluate current data science processes, tools, and team structures to determine capability strengths, weaknesses, and improvement areas., • Framework Design: Develop and apply a structured maturity model to assess how data science work is conceived, executed, validated, and scaled., • Model Lifecycle Review: Assess practices across data preparation, feature engineering, model development, validation, monitoring, and iteration., • Tooling & Workflow Analysis: Review the ecosystem of analytical tools, frameworks, and environments used for data science, including reproducibility and collaboration readiness., • Benchmarking: Define benchmarks for best practices in experimentation, automation, and applied machine learning operations (MLOps)., • Collaboration & Alignment: Work with AI and Data & AI Architects to connect findings from people, platform, and practice assessments into a unified capability map., • Gap Identification: Identify gaps in model governance, documentation, and model-to-business translation and recommend actionable improvement pathways., • Reporting & Advisory: Produce detailed reports summarizing data science maturity, practice gaps, and recommendations for scaling responsibly and effectively. Qualifications • 6–10 years of experience in applied data science, machine learning, or analytics leadership., • Strong understanding of model lifecycle management, experimentation frameworks, and data science governance., • Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML)., • Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch)., • Proven ability to assess or design organizational processes for data science delivery and model management., • Excellent analytical and communication skills, with the ability to synthesize technical observations into actionable business recommendations. Preferred Skills • Experience designing or applying data science maturity models or capability frameworks., • Understanding of data governance, compliance, and ethical AI practices., • Experience leading or advising multi-team data science organizations., • Knowledge of cloud data science environments (AWS, Azure, GCP). Reporting Structure • Reports to: Principal Consultant, • Collaborates with: AI Architect, Data & AI Architect, Program Lead, and Training Consultant to integrate practice-level insights into the overall capability assessment.

We are looking for Software Engineers with a strong foundation in API development and C# to join our data engineering team in a highly regulated industry. In this role, you’ll be instrumental in designing and building scalable, secure software systems that support seamless data movement between internal systems, third-party platforms, and cloud services. Your core focus will be developing and maintaining APIs and backend services that enable data ingestion, transformation, and delivery across our enterprise architecture. You’ll collaborate with cross functional teams to ensure data is available where and when it’s needed—reliably, efficiently, and in compliance with strict regulatory standards. We’re seeking candidates with over 5 years of relevant experience, a solid understanding of software system design, and a strong command of C# and modern API development patterns. A background in working with data systems, cloud integrations, and secure, large-scale applications will be highly advantageous. Core Responsibilities: -Design, develop, and maintain scalable APIs and backend services to facilitate data flow between systems. -Collaborate with data engineers, architects, and security teams to ensure secure, reliable, and performant data exchange. -Work across cloud and on-premises environments to support a hybrid infrastructure. -Build reusable and modular components with a focus on maintainability and performance. -Implement robust error handling, logging, and monitoring strategies for production-grade services. -Ensure compliance with data protection, privacy regulations, and internal governance policies. -Contribute to technical designs, architectural decisions, and system documentation. -Stay current with best practices and emerging technologies in software engineering and data systems. Knowledge: Along with over 5 years of relevant experience, we are looking for a candidate with the following set of technical and soft skills, as both are essential to perform in this role. Programming Proficiency: -Strong experience with C# and .NET frameworks. -Solid understanding of data structures, algorithms, and programming principles. -Experience working with other relevant languages such as Python, JavaScript, or TypeScript. Data Systems Knowledge: -Exposure to working in data-centric environments, supporting ETL/ELT pipelines or data processing services. -Familiarity with SQL and NoSQL databases. -Understanding of data privacy and security concepts. Ways of Working: -Comfortable working in Agile/Scrum environments, participating in sprint planning, stand-ups, and retrospectives. -Experience using Agile collaboration tools (e.g., Jira, Azure DevOps, Confluence). Soft Skills: Analytical Thinking & Problem-Solving: -Strong analytical skills with a structured, logical approach to diagnosing and resolving issues. -Detail-oriented with a mindset geared toward continuous improvement. -Able to prioritize and manage multiple projects simultaneously in a dynamic environment. Technical Skills: API Development: -Proven experience designing and building RESTful APIs and services at scale. -Experience with authentication, authorization, and secure API communication (OAuth2, JWT, etc.). -Familiarity with API gateways, microservice architecture, and asynchronous messaging patterns (e.g., queues, event buses). System Design: -Ability to design and implement scalable software systems. -Familiarity with distributed system patterns and architectural trade-offs. -Experience with performance tuning and troubleshooting in complex environments. Tooling & Infrastructure: -Experience with CI/CD pipelines, containerization (Docker/Kubernetes), and version control systems (e.g., Git). Soft Skills; Communication: -Ability to clearly articulate complex technical topics to non-technical stakeholders. -Strong documentation habits and a commitment to knowledge sharing. -Excellent verbal and written communication skills. Collaboration & Relationship Management: -Proven success working in cross-functional teams with product, security, compliance, and data professionals. -Builds strong relationships, manages conflicts constructively, and drives consensus where needed. -Able to adapt to diverse working styles and team dynamics.

Principal Software Engineer | High-growth, Purpose-Led and A* funded Fintech | Hybrid – London Python, TypeScript, React A leading fintech scale-up is hiring a Senior Software Engineer to join its high-performing engineering organisation in London. This is an opportunity to contribute to a platform designed to improve finance globally — with real impact at scale. The company operates at the intersection of technology and social impact, offering innovative and groundbreaking tools that enable financial stability across the world — all via a modern, mobile-first platform. Backed by leading venture capital and impact investors, the organisation is entering a new phase of growth, with engineering at the core. The Opportunity As a Senior Engineer, you will play a key role in designing and delivering scalable, reliable systems that handle significant volumes of real-time data and transactions. You'll collaborate with product, data, and platform teams to deliver high-impact features that directly improve user financial wellbeing. This is a hands-on role for an engineer who values clean architecture, measurable outcomes, and meaningful user impact. What You’ll Do: • Design and implement distributed systems that are resilient, scalable, and secure., • Own technical decision-making across architecture and implementation — selecting the right tools and patterns to meet evolving business needs., • Collaborate cross-functionally with product managers, designers, and analysts to build features that deliver tangible value., • Contribute to technical strategy, support platform scalability, and lead by example through code reviews and mentoring., • Maintain a user-centred mindset, constantly measuring and iterating on how engineering decisions translate into product value. Technical Environment: • Languages & Frameworks: Python, TypeScript, React, Svelte, • Infrastructure & Tools: AWS, PostgreSQL, Snowflake, CI/CD pipelines, • Ways of Working: Agile squads, continuous delivery, outcome-oriented culture You’ll work in a collaborative, engineering-led environment where autonomy, accountability, and thoughtful innovation are valued over process-heavy delivery. What You Bring • Proven experience designing and delivering scalable backend systems in high-growth or high-load environments., • Strong technical depth in backend development, with working knowledge of frontend frameworks or data infrastructure a plus., • Demonstrated ability to lead by example — writing clean, maintainable code and supporting others through mentoring or technical leadership., • A pragmatic, product-oriented approach to engineering: you care about elegant solutions, but you care even more about user outcomes., • Prior experience in fintech or regulated environments is beneficial, but not essential. If you are an innovative and experienced Senior Software Engineer with a passion for using maths based solutions to solve complex business problems, then please apply now with your latest CV.

We are seeking highly skilled and motivated Generative AI Engineers to join our growing AI team. You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions using LLMs, Transformers, and Diffusion models. This role involves working on enterprise-grade applications such as intelligent chatbots, document summarization, code assistants, and more. Responsibilities: Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: Chatbots Document Q&A systems Report generators Code assistants Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful AI use cases. Contribute to the development of a strategic AI adoption roadmap and reusable AI Workbench/platform components. Support POCs, pilots, and full-scale implementations using agile methodologies. Document and present solution designs, technical findings, and outcomes to leadership and clients. Mandatory Skills Description: Strong programming skills in Python (preferred), with experience in Java or Node.js. Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral), Transformers, and Diffusion models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field. Nice-to-Have Skills Description: n/a Languages: English: C1 Advanced

🌍 Forward Deployed Software Engineer | Defence Tech & AI | London (Hybrid | 4x days onsite) About Want to work on software that powers the autonomous age? This defence tech team are building next-generation AI and systems software to help organisations collaborate with robots, sensors, and also autonomous systems. You’ll be joining at a pivotal stage of growth, working with a team of exceptional engineers who thrive on solving high-impact problems. From your first day, you’ll have genuine ownership and autonomy - influencing the design, functionality, and direction of cutting-edge products that have real-world applications. 💡 Why join: • Be part of a mission-driven team shaping the future of autonomous systems, • Collaborate with engineers, scientists, and AI experts on high-stakes projects, • Work hands-on in the field, seeing your code in action with real users, • High autonomy, clear purpose 🚀 What they value: • Strong engineering fundamentals and curiosity across tech stacks, • A bias for action and problem-solving in complex, real-world settings, • Collaboration and direct engagement with end users, • A willingness to travel and work closely with customers to make an impact They’re open to all OOP backgrounds (Python, C++, or Java), with modern frameworks like React or Angular in play. 📍 London | Hybrid (4x days onsite + travel as needed) Interested? Apply now!

eFX Software Engineer Hybrid (UK – Bristol, London, or Manchester) Up to £160,000 + Pension/Bonus Join a leading financial technology and trading organisation driving innovation in electronic markets. As an eFX Software Engineer, you’ll design and deliver high-performance, low-latency trading solutions that underpin mission-critical systems. This role offers the chance to work on cutting-edge technology where speed, scalability, and resilience are key. About the Role • Lead the design and development of secure, high-performance eFX systems, • Define and evolve Java patterns and techniques optimised for ultra-low latency (<40μs), • Architect fault-tolerant, scalable trading systems, • Influence technical strategy, architecture, and product roadmaps, • Collaborate with multiple teams to deliver best-in-class E-trading platforms, • Ensure all solutions meet security, compliance, and performance standards What You’ll Bring • Strong experience in software engineering, architecture, and database design, • Expert-level Java development, including low-GC and lock-free patterns, • Proven background in FX trading systems, pricing, and risk management, • Deep understanding of CPU architecture, cache optimisation, and Linux performance tuning, • Expertise in networking and messaging (TCP, UDP, Multicast, FIX), • Knowledge of quantitative instruments and algorithmic trading, • Experience implementing controls in automated trading environments, • Skilled in TDD, automated testing frameworks, CI/CD, and API design, • Ability to translate complex business needs into scalable technical solutions Desirable Experience • Leadership across multiple feature teams or complex projects, • Exposure to E-trading and real-time data platforms, • Experience with low-latency Java frameworks and performance monitoring, • Strategic input into enterprise or domain architecture

We’re looking for a high-caliber engineer to join as a Founding Engineer. You should be deeply hands-on with code, technically opinionated, and capable of building production systems from scratch. This is a role for someone who enjoys execution but also has the potential (or ambition) to lead technology at a company-defining level. 🔍 What You'll Do • Build and own core infrastructure and backend systems, • Design and implement APIs, data models, and scalable services, • Collaborate closely with founders on product direction and technical architecture, • Ship code fast, validate assumptions, and iterate, • Lay the groundwork for the future engineering team (tooling, processes, and architecture) ✅ Core Technical Requirements • Proficient in one or more modern backend languages (e.g. Python, Go, TypeScript, Java, Rust), • Strong systems design skills — you can model real-world systems and reason about scale, latency, and trade-offs, • Comfortable building from zero — greenfield work doesn’t scare you; in fact, you prefer it, • Experienced with cloud infrastructure — AWS, GCP, or similar; IaC (Terraform, Pulumi, etc.) is a plus, • Competent with databases and data modeling — SQL and NoSQL, designing schema for scale, • Comfortable writing tests and deploying production systems — you care about code quality and reliability ⭐ Bonus Experience (Not Required, but Valuable) • Worked at a Pre-Seed or Seed-stage startup through to Series A, • Built or deployed software used by enterprise customers, • Experience with applied machine learning or MLOps (not just academic or notebook-based work), • Exposure to event-driven architectures, streaming systems (Kafka, etc.), or real-time data pipelines, • Frontend experience in React, TypeScript, or similar modern frameworks 📈 What We Offer • Early-stage equity and the opportunity to shape foundational decisions, • High ownership, zero bureaucracy — build what matters, fast, • Founders who value engineers, ship code, and work closely with you, • A role that grows with you — if you have CTO potential, you’ll have a path You should apply if: You’re a product-focused engineer — you solve problems through code, you like building things that work, and you’ve got the technical depth to back it up.

VP of Engineering (Founding Engineer) | AI x Enterprise Workflow £180k to £200k base + up to 2% equity + benefits Hybrid in London. 2 to 3 days on site (Fitzrovia) The mission Build the context and execution platform that lets enterprise AI agents do real work. Turn messy business knowledge into a usable context layer, and plain English processes into reliable, auditable, executable workflows. Real customers, seven figure ARR, strong pull to scale. What you will do • Own engineering strategy and delivery from 0 to 1 through scale, then raise the bar again, • Define the platform architecture and reliability roadmap across Python services and a React app, • Design the workflow engine with state, retries, idempotency, audit, and multi-tenant isolation, • Set SLOs and observability, manage incidents, and make on call boring, • Build and lead a high performing team. Org design, hiring, mentoring, standards, and SDLC, • Partner with founders and customers to turn outcomes into roadmap and measurable value, • Establish security, privacy, and change control that fits enterprise buyers without killing speed What you will bring • Track record leading engineering in product companies from about 0 to 10m ARR or similar scale-ups, • Depth in systems and data. You have shipped enterprise grade platforms, not only features, • Strong Python background and fluency with modern web stacks. React exposure is helpful, • Practical cloud experience on AWS or GCP, containers, CI and CD, zero downtime rollouts, • Proven ability to hire, coach, and set engineering culture in small, high ownership teams, • Clear communication, product instincts, and comfort meeting users and enterprise stakeholders, • UK work rights and comfort with 2 to 3 days in the London office, • Nice to have. Workflow engines, authorization models, knowledge graphs, or agent tooling Why this is worth your time • Own the core platform that customers rely on every day, • Significant equity with clear upside as the team and revenue scale, • Fast cycles, founder access, and a mandate to build the engine, the team, and the culture, • Real traction. Paying enterprises, visible impact, no AI theater The process • Brief founder screen, • Technical and architecture deep dive with the CTO, • Final with the founding team No visa sponsorship at this stage. Adjustments available. Understanding Recruitment is acting as an employment agency for this vacancy. We welcome applicants from all backgrounds and provide reasonable adjustments.

Senior Software Engineer | High-growth, Purpose-Led and A* funded Fintech | Hybrid – London Python, TypeScript, React A leading fintech scale-up is hiring a Senior Software Engineer to join its high-performing engineering organisation in London. This is an opportunity to contribute to a platform designed to improve finance globally — with real impact at scale. The company operates at the intersection of technology and social impact, offering innovative and groundbreaking tools that enable financial stability across the world — all via a modern, mobile-first platform. Backed by leading venture capital and impact investors, the organisation is entering a new phase of growth, with engineering at the core. The Opportunity As a Senior Engineer, you will play a key role in designing and delivering scalable, reliable systems that handle significant volumes of real-time data and transactions. You'll collaborate with product, data, and platform teams to deliver high-impact features that directly improve user financial wellbeing. This is a hands-on role for an engineer who values clean architecture, measurable outcomes, and meaningful user impact. What You’ll Do: • Design and implement distributed systems that are resilient, scalable, and secure., • Own technical decision-making across architecture and implementation — selecting the right tools and patterns to meet evolving business needs., • Collaborate cross-functionally with product managers, designers, and analysts to build features that deliver tangible value., • Contribute to technical strategy, support platform scalability, and lead by example through code reviews and mentoring., • Maintain a user-centred mindset, constantly measuring and iterating on how engineering decisions translate into product value. Technical Environment: • Languages & Frameworks: Python, TypeScript, React, Svelte, • Infrastructure & Tools: AWS, PostgreSQL, Snowflake, CI/CD pipelines, • Ways of Working: Agile squads, continuous delivery, outcome-oriented culture You’ll work in a collaborative, engineering-led environment where autonomy, accountability, and thoughtful innovation are valued over process-heavy delivery. What You Bring • Proven experience designing and delivering scalable backend systems in high-growth or high-load environments., • Strong technical depth in backend development, with working knowledge of frontend frameworks or data infrastructure a plus., • Demonstrated ability to lead by example — writing clean, maintainable code and supporting others through mentoring or technical leadership., • A pragmatic, product-oriented approach to engineering: you care about elegant solutions, but you care even more about user outcomes., • Prior experience in fintech or regulated environments is beneficial, but not essential. If you are an innovative and experienced Senior Software Engineer with a passion for using maths based solutions to solve complex business problems, then please apply now with your latest CV.

Director, AI Engineering – Professional and Financial Services Location: London (Hybrid) Employment Type: Full time Our Client Our client is a global leader in transforming organisational performance through safe, impactful and human centric artificial intelligence. With over a decade of success, they partner with leading organisations worldwide, combining AI software, bespoke consultancy, and top-tier talent from their award-winning Fellowship programme. Bringing together experts from government, academia, and the world’s leading technology firms, the organisation tackles some of the most complex challenges in applied AI across financial services, professional services, and beyond. The Opportunity As Director of AI Engineering, you will serve as the most senior technical authority for AI solutions across the Professional and Financial Services business unit. This is a high impact leadership role that combines deep AI and machine learning expertise with commercial and strategic influence. You will define and deliver the technical vision for clients across banking, insurance, and asset management, while developing and guiding a world-class team of data scientists and engineers. Key Responsibilities • Lead the design, development, and delivery of advanced AI solutions, ensuring exceptional technical standards across the business unit, • Provide hands-on guidance on solution architecture, machine learning modelling, and engineering best practice, • Define and champion a forward-thinking AI strategy tailored to financial and professional services, • Act as senior technical advisor in key client engagements, helping shape and secure new opportunities, • Recruit, structure, and develop high-performing technical teams within the business unit, • Represent the organisation through thought leadership, including conferences, publications, and industry forums About You • Proven record in AI and machine learning strategy and delivery, ideally within the financial or professional services sector, • Strong experience with MLOps and scaling AI applications into production environments, • Deep understanding of systems architecture and engineering principles, with experience leading full stack technology teams, • Commercial awareness of how AI can drive growth and efficiency across banking, insurance, and asset management, • Excellent communication skills, with the ability to engage confidently with both technical teams and C-suite stakeholders, • A collaborative leader who enjoys mentoring and developing high performing teams Why Join This is an opportunity to join a pioneering AI organisation that is redefining how businesses apply artificial intelligence responsibly and effectively. You will work alongside some of the brightest minds in the field, solving complex, real world challenges and shaping the future of applied AI in financial services. If you would like to explore this opportunity further, please reach out to us for a confidential and information sharing conversation and apply to this advert with your CV attached. Thank You, Blue Astral Consulting

Senior Software Engineer | £120K | AI Video Platform | London (On-site 5 days) I’m partnered with an AI company founded by serial entrepreneurs and ex-Lyft, Google, and Zoox engineers, a team with serious technical pedigree across robotics, computer vision, and large-scale ML systems. They’ve built one of the most advanced AI-driven video intelligence platforms on the market, used by hospitals, schools, logistics firms, and enterprises globally, turning static video into actionable insights. Now, they’re looking for a Software Engineer who can own their web experience end-to-end, setting best practices, shaping architecture, and delivering truly intuitive interfaces that bring AI to life. You’ll join a tight-knit, elite engineering team (ex-Stanford, Oxford, Cornell) solving problems at the intersection of machine learning, UX, and infrastructure, where every release directly impacts how businesses use AI in the real world. 💡 Why it’s worth your time: • Full ownership of the front-end stack in a technically deep, design-led product., • Work alongside top-tier engineers and researchers with world-class pedigrees., • Help redefine a stagnant industry through user experience and technical excellence., • Fast-moving, well-funded startup with multiple years of runway. What they’re looking for: • Deep React + TypeScript experience, • Strong eye for design, performance, and maintainability, • Proven ability to lead or set best practices in front-end architecture, • Bonus: AWS, Python, or backend familiarity 💰 £120K base + equity 📍 London | 5 days on-site If you love crafting seamless, performant products and want to work with people operating at the top of their field, this is one worth exploring!

Chief Technology Officer (CTO) - Hands-On Back-End Developer Remote-Friendly | London HQ | Award-Winning Agricultural Technology Software Company Join an award-winning agricultural analytics software company that's redefining sustainable food production through data-driven technology. We're seeking a hands-on Chief Technology Officer (CTO) — an exceptional technical leader who thrives on both strategic vision and deep technical execution. Role Overview As CTO, you'll lead the technical direction of our cutting-edge agricultural technology platform, while remaining deeply involved in hands-on back-end development. You'll architect scalable systems, drive innovation in sustainable technology, and guide a talented engineering team to deliver data-rich solutions that improve farm economics, productivity, and environmental impact. Key Responsibilities • Lead technical strategy and oversee architecture for scalable, data-driven systems., • Remain actively hands-on, designing and developing high-performance C#/.NET back-end systems., • Mentor and guide a growing team of developers — setting technical standards and driving best practices., • Oversee end-to-end solution delivery, ensuring performance, security, and maintainability., • Collaborate cross-functionally with data scientists, agronomists, and stakeholders to shape product direction., • Own cloud infrastructure strategy and implementation on Microsoft Azure., • Lead innovation in sustainability-focused agricultural technology and analytics., • Contribute to recruitment and technical assessment (including coding challenge design and review). Candidate Assessment Process Our selection process includes a LeetCode-style technical challenge to evaluate: • Algorithmic problem-solving, • Data structures and computational efficiency, • Code quality and optimisation under time constraints Ideal Candidate Profile Academic and Professional Background Degree/Masters/PhD in Computer Science, Data Science, or a related discipline • Proven experience as a Back-End Developer / Engineering Lead / CTO in data-heavy environments, • Demonstrable history of technical excellence and leadership in commercial software development Technical Expertise • Advanced proficiency in C# / .NET Core / .NET Framework, • Strong command of Azure Cloud Services, • Deep experience with SQL Server and high-volume transactional systems, • Expertise in data architecture, performance optimisation, and scalable software design, • Solid understanding of algorithms, data structures, and computational complexity, • Bonus: Experience in FinTech or structured data environments with high reliability and scale, • Leadership SkillsVisionary mindset with a hands-on engineering ethos, • Proven ability to scale teams and systems effectively, • Strategic decision-making with practical, code-level insight, • Strong communicator and collaborator across multidisciplinary teams, • Passion for fostering innovation and mentoring engineering talent Personal Attributes • Exceptional attention to detail and analytical rigour, • Strong communication and collaboration skills, • Innovative and pragmatic problem solver, • Calm and decisive under pressure, • Genuine passion for sustainable technology and real-world impact What We Offer • Remote flexibility with a London-based HQ, • Opportunity to lead cutting-edge agricultural technology development, • Work alongside respected professionals in a purpose-driven company, • Competitive salary plus company share scheme, • Platform to make a tangible impact on global sustainability

Head of Operations – Algorithmic Trading Location: London (quant-driven electronic market maker) Overview: A senior strategic leadership role at a leading quantitative trading firm that uses machine learning and data-driven intelligence to provide liquidity across global financial markets. The firm values strategic thinking, resilience, and innovation over speed alone — focusing on smarter, predictive trading systems. Purpose of the Role: To define and execute the operational strategy that underpins the firm’s growth, scalability, and resilience. This is a hands-on leadership position focused on guiding systems, processes, and people — not managing day-to-day tickets. Key Responsibilities: • Lead the strategic operational roadmap, aligning it with long-term business goals., • Oversee critical trading infrastructure, ensuring stability, integrity, and risk management., • Drive automation and Infrastructure as Code (IaC) maturity., • Champion the integration of Generative AI for intelligent monitoring and predictive operations., • Lead cross-functional collaboration during incidents and major system initiatives., • Design and manage a robust operational risk framework across the trading lifecycle. Ideal Profile: • 5+ years in trading operations, SRE, or systems leadership within quant / HFT / fintech firms., • Expert-level skills in Linux/Unix, distributed systems, and FIX protocol., • Hands-on with IaC tools (Terraform, Puppet, etc.) and modern automation., • Strong grasp of market microstructure, order flow, and risk management., • Exceptional communicator with strategic influence across technical and executive teams. Desirable: • Background in quantitative trading or software engineering., • Familiarity with AI/ML, predictive analytics, and trading platforms (IB, MetaQuotes, B2B or C-Trader). Tech Stack: • Linux-first environment on AWS., • Core languages: C++, Java, Python., • Large-scale data lakes and HTML5 front ends. Why Join: • Shape the firm’s operational strategy with real ownership and autonomy., • High-impact role with direct exposure to the executive team., • Clear progression to senior executive leadership., • Collaborative, meritocratic culture with a startup mindset.

Head of Engineering – London (Hybrid) – up to £120,000 + Equity (ESOP) An opportunity to join one of the UK’s most exciting Intelligent Automation companies, powering content for a huge number of brands globally, optimising how they distribute and monetise content, whilst using cutting-edge machine learning and predictive AI. The Role As Head of Engineering, you’ll lead a lean, high-performing tea, bringing structure and technical direction to a fast-paced, product-led environment. You’ll work closely with the CEO and Head of Product to shape the companies engineering culture, drive delivery and define the technical roadmap for an AI-driven platform trusted by global brands. This is a hands-on leadership role, ideal for someone who loves both people and product and thrives in a high-autonomy, research-driven culture. You’ll lead and contribute to: • Architecture, system design and code reviews, • Scalable, AI-powered systems built in Java, TypeScript/JavaScript, SQL/NoSQL, AWS, • A collaborative, delivery-focused engineering culture, • Technical decisions that directly shape the future of media technology What We’re Looking For • 8+ years’ experience in software engineering, with 3+ years leading teams, • Strong technical expertise in Java, TypeScript/JS, SQL/NoSQL, AWS, • Proven success scaling high-performing teams in fast-moving environments, • A pragmatic, results-oriented mindset, • Excellent communication skills and stakeholder influence, • Degree in Computer Science or Engineering, • Passion for AI, automation and the future of publishing The Company A London-based AI company backed by huge partners, the team combines academic rigour with startup agility, posting a culture that prizes autonomy, analytical thinking and delivery at speed. They offer: ✅ Hybrid work model ✅ Pension contribution ✅Generous annual leave ✅ Food provided on office days Head of Engineering – London (Hybrid) – up to £120,000 + Equity (ESOP)

Software Engineer (Java Microservices) – Package up to £130k + Excellent Benefits An exciting opportunity has arisen for a Senior Software Engineer (Java Microservices) to join one of the UK’s leading financial institutions, driving innovative digital solutions that power millions of customer interactions every day. You’ll be joining a talented, forward-thinking team delivering scalable, secure and high-performance services within a major transformation programme. This is a fantastic opportunity for a technically minded individual with strong server-side experience to design, build, and deploy resilient software solutions that make a real impact. Responsibilities • Design, develop, test, and deliver high-quality, maintainable code across the entire software development lifecycle., • Collaborate within a specialist engineering team, working closely with architects and senior engineers to build robust, scalable microservices., • Apply Agile methodologies to drive continuous improvement, innovation, and rapid delivery of business value., • Contribute to the evolution of software architecture and design, using experimentation and prototyping to shape modern solutions., • Champion automation across build, testing, and deployment processes to enhance quality, reliability, and development efficiency. Skills & Experience • Strong background in developing Java-based microservices, leveraging modern frameworks such as Spring Boot and Project Reactor., • Proven ability to design, build, and deploy high-performing services that operate seamlessly at scale., • Experienced in Agile development practices, including TDD, BDD, and pairprogramming, with a focus on code quality and collaboration., • Skilled in delivering solutions built for security, resilience, and scalability, underpinned by automated testing and continuous improvement., • Proficient with CI/CD pipelines, Infrastructure as Code (preferably Terraform), and public cloud technologies including AWS, Azure, or GCP. Why Join You’ll be joining a business that values innovation, collaboration, and technical excellence. This is a chance to work in a high-impact environment where your skills will directly contribute to the success of next-generation digital banking solutions. Join a company that invests in its people, offering a competitive salary, career development opportunities, and a strong culture of inclusion and growth. Software Engineer (Java Microservices) – Package up to £130k + Excellent Benefits

A leading global energy trading organization is expanding its Front Office Engineering & Analytics function in London. This team develops the technology powering front-office analytics, risk systems, and data-driven trading strategies across Power & Gas, Oil, and Market Risk domains. You’ll be joining an ambitious and technically strong group responsible for building the firm’s next-generation analytics platform — a cloud-native ecosystem on AWS, used globally by trading, risk, and analytics teams. These are hands-on engineering roles, focused on designing and scaling high-performance systems, data pipelines, and analytical applications. Key Responsibilities • Build robust data pipelines and orchestration engines in AWS, • Integrate diverse datasets, including market, fundamental, and weather data, • Develop analytical and visualization tools (e.g., Dash/Plotly), • Partner with analysts to design and implement statistical models, • Contribute to architectural design of scalable analytics systems, • Manage deployment and operationalization of workloads in AWS (S3, ECS, Postgres), • Promote engineering best practices including Git-based version control and CI/CD Requirements • 3–7 years of experience in data or software engineering, • Strong Python programming skills (Java or C# a plus), • Hands-on experience with AWS (S3, ECS, Postgres), • Understanding of Kafka, orchestration, and distributed data systems, • Experience in energy trading, commodities, or financial analytics preferred, • Strong communication skills and collaborative mindset, • A builder’s mentality — curious, hands-on, and eager to innovate Why Join You’ll be part of a high-performing engineering culture where autonomy, technical excellence, and collaboration are core values. The team is scaling quickly, offering a unique opportunity to shape the technology driving a world-class trading business.

Senior Software Engineer (Java) – Portfolio Optimization | Fintech | London / Hybrid About My Client My client is a high-growth fintech company transforming the way capital markets operate. Their mission is to make global financial systems safer, more efficient, and more open, using advanced technology and deep domain expertise. They partner with leading banks and institutional investors to develop intelligent solutions that optimise portfolios, reduce risk, and unlock access to more diversified capital. About the Role My client is seeking a Senior Software Engineer to join their Portfolio Optimization team — a core group responsible for building the technology that drives their balance-sheet and exposure-management platform. This is a hands-on development role in a highly technical environment, where you’ll be contributing to systems that power critical decision-making for the world’s leading financial institutions. You’ll collaborate closely with quantitative analysts, product managers, and other engineers to design and implement robust, scalable, and high-performance solutions that support large-scale data processing, analytics, and optimization algorithms. Key Responsibilities • Take active part in a team of developers working on my client's Portfolio Optimisation products, • Design software according to agreed standards, architecture, and requirements, • Plan and build high quality, scalable, and secure solutions, • Work closely with team lead, team members and product managers in defining and implementing roadmap features, • Contribute and drive technological and architectural decisions, • Interface with various R&D groups, as well as support groups Who You Are • B.Sc. degree in Computer Science, SW Engineering or equivalent (M.Sc. is an advantage), • At least 8 years of experience in Java server-side development, including cloud services (preferably AWS), • Experience with C# and .NET (ability to understand code and general knowledge of the framework), • Experience in building complex, large-scale software solutions from scratch to live production, • Experience with Java, Spring Boot, Spring Data, JPA, Swagger, Maven, Kafka, PostgreSQL, Jenkins, GIT, RESTful Services, Docker, • Strong analytical skills, • Self-starter, fast learner, and great interpersonal skills, • Excellent English communication skills – spoken and written, • Financial affinity is an advantage, • A “Can-Do” mentality and mindset, • Can learn and work in a fast-paced, dynamic environment

🚨 Staff Frontend Developer 💰£100–120k + 20% bonus + equity 🌍(London Hybrid OR Remote options available) I've partnered with a revolutionary Fintech whose code is helping the world’s top investment teams make smarter, faster, measurably better decisions. This team is building tools used by asset managers handling $250B+ in assets to fundamentally improve how investment decisions are made. You’ll be leading the architecture and delivery of high-performance frontend systems, building advanced analytics dashboards and workflow tools trusted by global funds. 🛠️ Tech You’ll Work With • React + Next.js (incl. React Server Components), • Microfrontend architecture, monorepos, modular design, • Node.js, serverless Lambdas (AWS), CDK, Terraform, • Cutting-edge frontend performance, CI/CD optimisation, • High-performance frontend (caching, object management, data fetching, optimizing build times, end to end testing) 🎯 Why This Team? • 📈 Real-world impact, your work will influence billion-dollar decisions, • 🧠 Freedom to solve problems your way, no micromanagement, high trust, • 🧪 A culture of doing things properly: open to new ideas, happy to admit when something doesn’t work, • 🧰 Top-tier tooling (Linear, Notion, Miro) and constant iteration on best practices, • 🧑 🤝 🧑 Weekly engineering roundtables to share ideas and level up together Interested? Apply to be considered with interviews commencing from the 13th of November.

We are working with ___, a London-based AI company bringing radical visibility to global supply chains, creating a technology that will eliminate supply chain unknowns to drive down costs, achieve carbon targets, and strengthen supply chain resilience. We're helping them hire a Lead Data and AI Engineer. This ambitious company was incorporated in early 2025 and has since built strong momentum. Backed by leading climate-tech investors, alongside a long list of angel operators and unicorn founders, the company is well-funded with two years of runway and clear near-term goals. With design partnerships in place with several of the world’s largest manufacturing companies, they’re now building the founding technical team that will power the next stage of growth. Job Description As Atmospheric’s Lead Data and AI Engineer, you will join the founding team as its technical leader. This is a zero-to-one opportunity for you to architect and build the company’s core data and AI systems from the ground up, shaping both the technical roadmap and the foundations of a category-defining platform. You won’t just execute — you’ll define the technical roadmap, establish best practices, and shape the foundation of Atmospheric AI’s intelligence layer. The role offers immense autonomy and the opportunity to have a deep, lasting impact on both the product and the business. Primary Responsibilities • Design and implement the core data stack end-to-end, working across ingestion, processing, and delivery systems (S3/Athena, Neon Postgres, Tinybird, Modal, Dagster)., • Define the strategy for integrating AI/ML models and LLMs into data workflows for automated enrichment and agentic features., • Develop entity-matching algorithms (potentially using ML) to link disparate data points and resolve entities., • Work with domain experts to formalise a comprehensive ontology of the chemical and energy supply chain., • Build agent-based systems that perform complex automated tasks, updating the digital twin based on real-time data., • Establish the foundations for MLOps and performance monitoring., • Design and build robust, scalable ETL/ELT pipelines to ingest large volumes of data from APIs, web scraping, and multiple data sources., • Own the scalability, reliability, and best practices of Atmospheric AI’s data infrastructure., • Develop data quality and governance frameworks. Requirements: • 10+ years of experience in data engineering or AI/ML engineering., • An experienced builder with a strong track record of productionisation, technical ownership, and scaling data systems from the ground up., • Deep familiarity with modern data stacks and cloud technologies (AWS, Azure, or GCP)., • Expert knowledge of Python and SQL, • Hands-on experiences with Data Architecture, including:, • Cloud platforms and orchestration tools (e.g. Dagster, Airflow), • AI/MLOps: Model deployment, monitoring, lifecycle management., • Big Data Processing: Spark, Databricks, or similar., • Bonus: Knowledge Graph engineering, graph databases, ontologies., • Located in London And ideally you… • Are a zero-to-one builder who thrives on autonomy and ambiguity., • Are a strong team player who can communicate effectively and collaborate across technical and commercial teams, • Thrive in fast-moving environments and work at a high pace, • Enjoy owning and solving problems, act boldly and decisively, maintaining forward progression, • Are a hands-on leader who can both build and scale a data function over time., • Take ownership, empower others, and drive meaningful change Tech Stack: • Cloud & storage: S3, Athena, Glue, • Databases: Neon Postrgres, Tinybird, • Compute & Orchestration: Modal, Dagster, • Languages: Python, SQL, • AI/ML: LLMs, agentic workflows Benefits Currently Offered: • £130K–£150K base salary + meaningful equity as a founding employee., • Private medical insurance, • Life assurance, • Gym membership, • Coaching and personal development programs, • Cycle to work and EV schemes, • 25 days annual leave Interview process: • Introductory interview – 30 mins, • Technical interview - 60 mins, • Leadership interview - 60 mins, • Final interview with CEO – 30 mins We CAN accept applications from European candidates and support remote work from Europe We CAN'T offer visa sponsorship in the UK at this point in time

Configuration Controller – Enfield Perm role. Salary range £35,000 to £40,000. Our client, a forward-thinking engineering business, is seeking an organised professional with a keen eye for detail and technical quality to join their team as a Configuration Controller. This is a unique opportunity to play a pivotal role in shaping and managing configuration data and processes across a dynamic environment. You’ll be the primary point of contact for configuration management and technical data release in their ERP system (IFS Cloud Applications 11), helping drive improvements, accuracy, and compliance. If you thrive in technically challenging settings and enjoy being the centre of control, this role could be an ideal match. What You’ll Be Doing • Administer the daily release and change control of technical data within the business ERP system and coordinate the authorisation process. That includes, engineering part structures, bills of materials, drawings, documents, software, etc., • Manage the end-to-end change and deviation request process., • To act as a technical focal point for matters relating to ERP controlled documents and parts, such as, change requests, deviations, build standard definitions, engineering part revisions, etc., • Develop and maintain the Configuration Management processes, procedures, and daily ERP configuration control. Providing training and guidance in respect of., • Create and maintain ERP document basic data, such as approval templates, document classes, document numbering, etc., • Maximize configuration functionality within the ERP system, for improved efficiencies., • Establish and maintain methods to cleanse legacy part and document data within the ERP system., • Produce Configuration plans and submissions in support of new contract proposals and project life cycle., • Attend software release meetings and maintain ERP version control and the software repository., • Attend design review and release meetings, as appropriate., • Maintain Hellios JOSCAR (Joint Supply Chain Accreditation Register) membership on behalf of the business., • Maintain documents relating to on-going certification to ISO and TUV SUD Marine Equipment Directive (MED) Module D, etc., • Take a key role in the implementation of ERP system improvements, phased testing and upgrade projects., • Support to QMS audit program., • Support to other tasks associated with this role. What You’ll Need • Fluent English (both verbal and written)., • Attention to detail., • Good organisation and communication skills., • Excellent document creation skills., • Working knowledge of Word, Excel, Visio, and PowerPoint., • Knowledge of IFS Cloud Applications 11 would be beneficial., • Working knowledge of ISO 9001:2015 Quality Management System, would be beneficial., • Auditor experience ISO 9001:2015, would be beneficial., • Experience in configuration management or control, preferably in a similar industry or company undertaking MoD / Defense type contracts., • Experience of working with ERP systems (such as, IFS Cloud Applications 11, SAP 4 HANA, etc.)., • Project management skills. Why Apply? This is a great opportunity to join a company that prizes quality, precision, and continuous improvement. You’ll enjoy autonomy, influence, and the chance to shape future processes, ensuring configuration control is upheld to the highest standard. If you are eager to bring your expertise to a standout engineering business, our client would be keen to hear from you.

Infrastructure Engineer – Azure / Microsoft / Security £65,000 + Bonus + Benefits Hybrid – South West London (3 days onsite) Quant Capital are partnering with a fast-growing FinTech scale-up hiring an Infrastructure Engineer to own their core platform across cloud, networking and security. This role suits someone who understands high availability, engineers with discipline, and cares about building secure, reliable systems at scale. You’ll take technical ownership from day one. You’ll design, operate and improve hybrid Microsoft/Azure infrastructure while acting as a senior escalation point for the business. The Role • Engineer, maintain and evolve hybrid Microsoft infrastructure, • Deliver uptime-focused projects across networking, cloud and security, • Drive hardening, compliance and platform security standards, • Improve performance across identity, access and connectivity, • Design and manage Azure services: VNETs, RBAC, DNS, VPN, firewalls, • Own platform documentation and operational best practice, • Troubleshoot complex incidents and enable engineering teams Required Experience • 5+ years in infrastructure engineering or systems engineering, • Strong Microsoft environment expertise:, • Windows Server, AD/Entra ID, Group Policy, O365, Intune, • Solid networking foundations:, • TCP/IP, VLANs, DNS, VPNs, Wi-Fi, • Security engineering knowledge:, • System hardening, endpoint security, SIEM, incident handling, • ISO27001, GDPR or PCI compliance exposure, • Certificates (SSL/TLS), WAF/DDoS, email security, • Azure engineering background:, • Governance, networking, identity and security configuration, • Ownership mindset and strong troubleshooting ability Nice to Have • Fortinet or Cisco firewall experience, • Automation (PowerShell), • Exposure to data centre deployments, • Strong documentation and communication habits

Senior NLP Researcher - London About the Opportunity Join our client's cutting-edge AI research team as they push the boundaries of Large Language Model technology. We're seeking an experienced researcher who thrives on solving complex challenges in foundation model development and wants to make a real impact on the future of AI. What You'll Be Doing Advanced Research & Innovation • Drive breakthrough research in LLM architectures, transformer optimisation, and novel training methodologies, • Explore parameter-efficient techniques, quantisation strategies, and innovative pretraining approaches, • Pioneer developments in multi-modal AI systems and next-generation language understanding Technical Leadership & Implementation • Build and optimise large-scale training infrastructures for foundation model development, • Design robust data engineering solutions for complex multi-modal datasets, • Lead end-to-end model deployment from research prototype to production-ready systems, • Implement distributed training frameworks and inference optimisation pipelines Collaboration & Mentorship • Work closely with cross-disciplinary teams to translate research breakthroughs into practical applications, • Provide technical guidance and mentorship to junior team members, • Contribute to research culture through knowledge sharing and best practice development Essential Requirements Professional Experience • Hands-on experience in NLP, deep learning, and transformer-based architectures, • Demonstrated involvement in LLM projects including training, fine-tuning, or production deployment, • Strong track record in scalable AI system development Technical Expertise • Expert-level Python programming with deep knowledge of PyTorch, TensorFlow, or JAX, • Proven experience with distributed computing environments and modern MLOps workflows, • Practical knowledge of LLM toolkits (Hugging Face ecosystem, training frameworks), • Strong problem-solving abilities for complex model performance and infrastructure challenges Highly Valued • Advanced degree (Master's/PhD) in Computer Science, Machine Learning, or related discipline, • Research publications in leading AI/ML conferences, • Cloud platform experience (AWS, GCP, Azure) with production ML deployment, • Experience with enterprise-scale data engineering and workflow orchestration tools What Our Client Offers Competitive salary package, comprehensive private healthcare, and exceptional benefits in a collaborative research environment that prioritises innovation and professional growth.

Senior Software Engineer | Legacy to Modern | C#, .Net | SaaS Data A fast-growing SaaS business is investing heavily in its tech platform and building out a senior engineering hub in London. They’re on the lookout for a Senior Software Engineer to help drive modernisation, set technical direction, and mentor squads as they scale. This is a senior, hands-on role. You’ll design and build applications, lead migrations away from legacy frameworks, and ensure the platform is stable, scalable, and fit for the future. Expect to spend plenty of time coding, alongside leading migrations and leading/mentoring 4 engineers. You will have complete autonomy for all things C# .NET in the business, including decision making on strategy around the direction of the products, the projects, leading the team and liaising with external consultancies etc. What you’ll be doing: • Design and build complex apps with C# and .NET Core/Framework, • Lead migrations from Web Forms/ASMX to modern stacks (.NET Core, MVC, REST APIs), • Contribute to the technical roadmap and influence best practices across squads, • Partner with QA, Product, and DevOps to deliver reliable features in agile sprints, • Implement and fine-tune CI/CD (TeamCity, Octopus), • Manage deployments across IIS and AWS, • Mentor developers through code reviews and guidance, • Optimise SQL/T-SQL performance for production systems What we’re looking for: • Strong background in C# and modern .NET Core, • Comfortable balancing legacy upkeep with platform modernisation, • Confident with IIS, AWS, TeamCity, Octopus Deploy, SQL Server, • Bonus points for exposure to Angular or Telerik libraries, • Prior experience as a senior engineer in SaaS or product-led teams, • Someone who enjoys mentoring, influencing direction, and staying hands-on Location & working style: Hybrid London role, with 1–2 days a week in the office. Squads value autonomy, collaboration, and building things that last. Senior Software Engineer | Legacy to Modern | C#, .Net | SaaS Data

Our client is a high-performing hedge fund, recognised for its technology-first culture and entrepreneurial mindset. As the firm continues to scale, it seeks an exceptional Engineering Manager — a technically credible, forward-thinking leader ready to take the next step toward a Chief Technology Officer remit. You will play a pivotal role in modernising the firm’s trading and data platforms, building and mentoring high-calibre engineering teams, and shaping the architectural foundations that power the fund’s investment strategies. This is a hands-on leadership role — you’ll be expected to code, design, and influence in equal measure — helping to define how technology evolves as the firm expands. Core Responsibilities • Lead and inspire a team of engineers delivering next-generation trading systems and data platforms designed for scalability, performance, and resilience., • Embed modern engineering principles — event-driven architecture, distributed systems, CI/CD automation, and cloud-native design — across the technology landscape., • Collaborate directly with portfolio managers and researchers to translate trading and analytical requirements into production-ready solutions., • Drive innovation by incorporating AI and machine-learning initiatives into research and operational frameworks., • Champion engineering culture — attract exceptional talent, mentor developers, and instil technical excellence and accountability., • Contribute strategically, working closely with the CTO and senior leadership to define the long-term technical vision and roadmap. You will likely have: • Experience leading and scaling engineering teams within a front-office trading or high-performance technology environment., • Strong hands-on background in modern C++, Java, or Python, with deep understanding of systems architecture and distributed design., • Proven ability to bridge business and engineering, collaborating effectively with PMs, data scientists, and operations teams., • A passion for building engineering culture — developing people, improving processes, and raising standards., • The ambition to step into a CTO-level leadership role in the coming years. This is a rare opportunity to operate at the intersection of technology and investment in one of London’s most dynamic hedge funds. You’ll join an environment that values autonomy, impact, and excellence, where engineering drives performance — and your ideas directly influence the firm’s success.

🌟 Product Engineer (React / Node.js / AI) 💰 £100,000–£120,000 + Equity | 🏙️ Hybrid – 3 days/week in London Our client is redefining how software is created in the AI era — not by generating snippets of code, but by reimagining the entire process of how software is designed, built, and evolved. Founded by a proven tech leader (the founder of one of Europe’s best-known DevTools companies) and backed by Index, Accel, GV, and Boldstart, this London-based Series A startup is pioneering what they call AI Native development — where AI isn’t a helper, it’s a core collaborator in building software. They’re now looking for a Product Engineer to join the User Journeys team — someone who thrives at the intersection of engineering, design, and developer experience. You’ll help build the tools, workflows, and interfaces that will define how developers create in the future. 🚀 The Opportunity: You’ll work across the stack to craft real-time, intuitive developer experiences — from fine-tuning collaborative UI interactions to designing new CLI tools and IDE extensions. This isn’t a “just code what’s specced” role — it’s a chance to experiment, make architectural calls, and influence how millions of engineers might one day build software. 🧱 What You’ll Be Doing: • Build AI-driven workflows, interfaces, and tools that transform how developers code., • Pair with designers to refine the user experience in the Tiptap-based editor., • Develop CLI tools and IDE extensions that connect developers seamlessly with the platform., • Architect real-time systems for streaming and collaboration across the platform., • Write clear, opinionated technical docs and decision records that shape product direction., • Help define and implement end-to-end testing and deployment strategies. 🔧 Tech Stack: • Frontend: React (Remix, SSR, and modern frameworks), • Backend: Node.js, REST APIs, JSON:API standards, • Realtime: WebSockets, CRDTs (Yjs), • Tooling: Tiptap, ProseMirror, CLI, IDE extensions, • Infra: CI/CD pipelines, Kubernetes, AWS ✅ What You Bring: • ~6+ years building complex products in collaborative, cross-functional teams., • Experience working with TypeScript and strong intuition for developer experience., • Proven ability to design, scale, and maintain production APIs., • Comfort in high-autonomy, fast-moving environments — ideally early-stage startups., • Curiosity for AI and its potential to transform how software is built. 💡 Bonus Points: • Experience building AI products or developer tools., • Familiarity with CRDTs, Tiptap/ProseMirror, or real-time collaboration., • Strong design sensibility — you care how things feel, not just how they work., • Infrastructure experience (CI/CD, Kubernetes, IaC). 🌍 Why Join? • Impact: Shape how the next generation of developers build software., • Influence: Work directly with founding engineers and leadership from Snyk., • Ownership: High autonomy, low bureaucracy, huge creative scope., • Rewards: £100–120k + meaningful equity, private health insurance (including dependents), team off-sites, and socials., • Hybrid setup: 3 days/week in London HQ. ⚙️ Interview Process: 1️⃣ Intro call with the Hiring Manager 2️⃣ Take-home challenge (real-world, not abstract) 3️⃣ On-site pairing session with founding engineers 4️⃣ Culture & values chat 5️⃣ Final conversation with leadership This is your chance to join a category-defining AI startup that’s changing how software is made, forever. If you’re excited by high autonomy, cutting-edge tech, and massive creative potential… 📩 Apply today or reach out to Sam Barcia for a confidential chat.

Senior Machine Learning Engineer Outside IR35 - £500/ day Greenfield We are working with an established global organisation on a mission to deliver next-generation AI capabilities at scale. We’re hiring an experienced, hands-on Machine Learning Engineer to architect and deliver production-grade AI system — with a strong focus on MCP, RAG, and real-world deployment. This project is a green field build out of AI capabilities. We are starting with RAG use cases as a low bar, but are targeting a rich agentic implementation in the near term. Whoever joins us has an opportunity to work on the foundational architectural definition and implementation. What you’ll do • Report directly to the VP of Engineering, • Architect, build and ship advanced AI/ML & Generative AI solutions — scalable, secure, production-ready, • Design data ingestion pipelines, integrate vector databases and retrieval-augmented systems, • Ship models via APIs, containers, or cloud-native services, • Own engineering excellence — Git, CI/CD, automated ML testing, IaC, • Influence technical direction and mentor other engineers, • Work cross-functionally to translate AI strategy into measurable business outcomes What you bring • Expert Python — LangChain, Semantic Kernel, PyTorch, TensorFlow, • Hands-on cloud delivery — Azure / AWS, Terraform, ECS, • Proven experience building RAG / MCP architectures, • 5+ years in applied ML or AI engineering roles Send us your profile now for immediate consideration. November start.

Senior Cyber Architect Salary: £70,000 - £80,000 base DOE Remote/Home-based role with infrequent travel to client sites as and when required. MUST be eligible for UK Government Security Clearance. We’re seeking an experienced Senior Cyber Architect to join a fast-paced consulting engagement within a complex, high-impact technology environment. This isn’t a purely advisory position; it’s for someone who can design, build, and implement secure solutions across on-premise, cloud, and hybrid infrastructures. You’ll take ownership of key security projects, applying deep technical understanding to real-world challenges, and ensuring solutions are both secure and practical. We’re looking for someone who mirrors the blend of hands-on expertise and architectural thinking. If you thrive on solving complex challenges, guiding organisations on their secure-by-design journey, and working across diverse industries and technologies, this could be your next big move. What you’ll be doing as a Senior Cyber Architect: • Acting as a trusted advisor to clients, shaping secure security architecture solutions from concept through to implementation., • Designing and implementing security controls, frameworks, and technical solutions., • Designing and delivering security architecture across hybrid, cloud, and on-premises environments., • Navigating complex technical ecosystems that span operational tech, cloud, and on-premise systems., • Producing high-quality deliverables, from threat models and risk assessments to secure architecture blueprints., • Collaborating with cross-functional teams and clients, translating technical detail into business language., • Partnering with client teams, project managers, and technical specialists to deliver transformation programmes. We are looking for a Senior Cyber Architect who has experience: • Strong on-premise experience — especially in securing traditional infrastructure and understanding legacy system dependencies., • Proven hands-on experience in security architecture — not just advisory. You’ve designed, implemented, and delivered secure systems yourself (this is essential), • Background in security engineering, SecOps, pen testing, or other hands-on technical roles., • Excellent communication skills to engage both technical and non-technical audiences., • Adaptability to work across varied industries and technologies., • Experience in regulated or high-availability environments (e.g., aviation, manufacturing, critical infrastructure) is advantageous but not essential. Desirable certifications: • CISSP, CISM, or CISA., • SABSA, TOGAF, or other architecture certifications., • ISO 27001 Lead Auditor/Implementer., • Azure cloud certifications. Why join our client: You’ll be part of a forward-thinking consultancy where your expertise is valued, your ideas shape the future, and your work has a genuine impact. Expect to collaborate with leading organisations across multiple industries, tackle varied and exciting challenges and grow your career in an environment that encourages innovation and excellence. They have an excellent collaborative, people-first culture offering a fantastic place to work.

Senior Penetration Tester -£300,000+ Total Package (£150,000 - £200,000 fixed) + Sign On + Bonus Entasis Partners are proud to be exclusively supporting a global organisation at the forefront of innovation in financial systems and high-performance computing. This is not your average security role. Our partner operates in a deeply technical, high-trust environment where the scale of data, the pace of experimentation, and the calibre of internal talent make for an exceptionally challenging and rewarding opportunity. With a newly developed central London site focused on next-generation research, this firm is seeking a Senior Penetration Tester to strengthen its already world-class internal security capability. The Opportunity This is a hands-on, highly autonomous role embedded within a specialist cyber function. You’ll be trusted to scope, execute, and deliver sophisticated penetration tests and control assessments across a range of technologies including Kubernetes, Jenkins, and Windows-based infrastructure. More than just finding issues, you’ll work in partnership with teams across the business to advise, remediate, and embed meaningful improvements. The environment is agile, collaborative, and engineered for depth not red tape. What You’ll Be Doing • Leading advanced penetration tests across infrastructure, applications, and DevOps pipelines, • Providing clear, actionable advice to technical and business stakeholders, • Assessing the effectiveness of existing security controls through hands-on testing, • Working closely with Detection, Risk and Compliance teams to provide assurance and technical insight, • Enhancing internal tools and frameworks to drive automation and assessment efficiency, • Coaching and supporting junior colleagues through knowledge sharing and collaboration What We’re Looking For You’ll bring deep technical experience, natural curiosity, and the confidence to challenge assumptions. You may have worked in financial services, or equally in fast-paced engineering environments but what matters is your capability and judgement. Must-haves include: • Strong penetration testing experience from planning to execution and reporting, • Understanding of vulnerability management and secure systems design, • Familiarity with DevSecOps tooling and scripting (e.g., Python, Jenkins, Ansible), • Strong grasp of how to assess and break technical controls — and explain fixes, • OSCP certification (required); CRT, OSEP or similar a strong bonus, • Clear, professional communication skills with both technical and non-technical teams Why Apply? • Exceptional total compensation ~£240,000+ package (base + discretionary bonus), • 30 days’ annual leave + flexible working environment, • 9% employer pension contribution, • Daily lunch allowance and on-site barista coffee, • Private healthcare and life assurance, • Monthly socials, company events, and modern informal culture, • Cycle-to-work scheme and premium office facilities This is an opportunity to test your skills at the very highest level with the tools, talent, and environment to match. To learn more or arrange a confidential conversation, please contact Entasis Partners directly.

Business Intelligence Engineer Hybrid – London Up to £400 a day Inside IR35 12 Months Key Skills: 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Key job responsibilities • Design, develop, and oversee the reporting pipelines to onboard internal and external data sources provided metrics into reporting and measurement tool, using appropriate technologies (e.g., SQL, Python, Spark, AWS Lambda, etc.), • Design, develop and optimize data visualization for the dashboards used across functional teams within XCM, • Collaborate with stakeholders (marketing, advertising, engineering, and product management) to understand business domains, requirements, and expectations and reflect these on the onboarding of new features for current and future business intelligence roadmap of XCM, • Work closely with owners of data source systems to gain insights into their capabilities and limitations, • Deliver minimally to moderately complex data analysis to support business needs, • Adopt best practices in reporting, including ensuring data integrity, designing thorough testing, validating outputs, and maintaining comprehensive documentation Basic qualifications • 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience, • Knowledge of paid media buying and general marketing, • Experience with data visualization using Tableau, Quicksight, or similar tools, • Experience with data modeling, warehousing and building ETL pipelines, • Experience writing complex SQL queries, • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelling, • Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business Preferred qualifications • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift, • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets, • Experience with forecasting and statistical analysis, • Adjacency and understanding on media and marketing landscape, • Experience in code review and version control tools, such as git Basic qualifications • 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience, • Knowledge of paid media buying and general marketing, • Experience with data visualization using Tableau, Quicksight, or similar tools, • Experience with data modeling, warehousing and building ETL pipelines, • Experience writing complex SQL queries, • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelling, • Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business Preferred qualifications • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift, • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets, • Experience with forecasting and statistical analysis, • Adjacency and understanding on media and marketing landscape, • Experience in code review and version control tools, such as git If you are interested please apply or send your CV to

Technical Project Manager • Fantastic opportunity for an experienced operations professional with strong technical project delivery and partner management skills., • Full-time, permanent role based in London (remote/hybrid available)., • Competitive salary (£80,000 – £120,000 DOE) + equity + company benefits., • Immediate start available – ideal for candidates from telecoms, infrastructure, or hardware deployment backgrounds. Who are the client? Our client is a fast-growing global technology company transforming how internet infrastructure is deployed and managed. Backed by leading investors, they design, build, and operate next-generation network systems that combine hardware, software, and operations into a single integrated platform. With projects spanning across commercial and enterprise environments, they’re redefining how connectivity infrastructure is delivered at scale — reliably, efficiently, and globally. What will you be doing? As a Technical Project Manager, you’ll play a pivotal role in driving large-scale network installation and deployment projects through a network of trusted delivery partners. You’ll manage everything from site readiness and planning to execution and quality assurance, ensuring projects are delivered on time, within scope, and to the highest technical standards. Your day-to-day will involve: • Coordinating site surveys, readiness checks, and installation timelines across multiple active projects., • Managing delivery partners — onboarding, training, and holding them accountable to performance metrics., • Running bid processes, validating scopes and quotes, and ensuring cost-effective delivery., • Identifying risks, resolving blockers, and proactively communicating project status to internal and external stakeholders., • Collaborating with engineering and product teams to improve systems, tools, and playbooks that scale global deployment operations., • Analysing partner performance data to drive continuous improvement in quality, speed, and consistency. This is a hands-on role at the intersection of project delivery, operations, and technology, offering significant scope to shape how the company scales its partner network globally. What will you need? • 2–8 years’ experience in project or operations management within a field-based or infrastructure environment (telecoms, networking, energy, or hardware deployment)., • Proven ability to manage multiple simultaneous installation or rollout projects., • Strong understanding of networking, connectivity, or infrastructure deployments (cabling, routers, switches, Wi-Fi systems, etc.)., • Excellent partner or vendor management skills — able to balance accountability with collaboration., • Data-driven approach to process design, reporting, and continuous improvement., • Exceptional organisational, communication, and problem-solving skills., • Comfortable working cross-functionally with engineering, product, and operations teams. What would be desirable? • Experience with telecoms or network infrastructure deployments., • Background in EV charging, energy, or smart infrastructure rollouts., • Previous exposure to hardware-enabled tech or startup environments., • Experience creating playbooks, dashboards, or systems to scale operational delivery. To Apply… Please apply through this advert or email your CV directly to . By applying, you consent to your application being processed and submitted to the client for this vacancy only. KEY SKILLS – Technical Project Management, Partner Operations, Field Deployment, Infrastructure, Networking, Vendor Management, Telecoms, Connectivity, Installations, Rollouts, Process Improvement, System Design, Operations Engineering, Hardware Deployment, ISP, Network Infrastructure.

The Company stackspell labs, Inc. is a venture-backed startup (strategically in stealth) building the AI-native abstraction layer for enterprise software. We’re reimagining how complex enterprise software systems/platforms (e.g., SAP, Salesforce, Workday, Dynamics, etc.) are extended, integrated, configured, and operated by AI agents. Think Lovable meets Terraform for enterprise software. Our core product is a framework purpose-built for AI coding agents, enabling them to express intent, while our platform transpiles, orchestrates, and governs it across the enterprise stack. This abstraction layer unifies and standardizes the primitives of major enterprise platforms, unlocking agentic workflows for transformation and software delivery. It empowers Corporate IT teams to design, configure, and operate secure, compliant, production-grade solutions with the speed and elegance of modern product engineering; finally bridging the gap between enterprise governance and AI-native velocity. The Role You’ll work in a forward-deployed capacity, partnering directly with enterprise teams to deliver complex integrations, extensions, and automations on SAP BTP using Stackspell’s AI-native platform. In the early phase, you’ll apply your deep SAP expertise in real-world projects while helping shape and refine the internal toolchain that powers these deliveries. Your work bridges hands-on solution delivery with the co-creation of the very tools that redefine how enterprises build on BTP. Your Profile SAP Business Technology Platform (BTP) · CAP (Cloud Application Programming) · CDS (Core Data Services) · OData Services · SAPUI5 / Fiori Elements · SAP Integration Suite / CPI (Groovy, Integration Flows) · Cloud Foundry / Kyma · Event Mesh / Advanced Event Mesh · Messaging (JMS / MQTT / AMQP) · XSLT · SAP Build Work Zone (Standard & Advanced) · Destinations / XSUAA · Audit Logging · Key User Flexibility · Credential Store · Workflow Management · Identity Services (IAS / IPS) · S/4HANA Extensibility (ABAP Cloud, Steampunk) · BTP Foundation Plane Official SAP Certifications are a plus but not required. The Offer Location: London (in-person) strongly preferred during the early phase to build tightly as a founding team. Remote possible for exceptional candidates, but proximity gives the best chance to shape the product early. • Competitive compensation + meaningful equity, • Early-stage ownership & impact on product and company direction, • Premium private health insurance (vision & dental included), • Wellness budget + gym access, • Weekly home service (cleaning, laundry, groceries), • Two fully covered offsites per year

Job Title: Deployment SME / DevSecOps Hybrid: 2 -3 days a week working from the office Location: London, UK Get the future you want! Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role Capgemini Financial Services is seeking a talented and experienced Deployment SME / DevSecOps to join our dynamic team in London, UK. The ideal candidate will be responsible for implementing and managing the tools, processes, and infrastructure that enable rapid deployment and efficient operations of our financial services application Your Profile • Look at existing WoW align them to the approved IDWG ways of working, • Drive Engineering Technology transformation wrt to Deployments with DSPs, • Coordinate with all suppliers for deployments, • Align with SIAM Release Management principles, • Ensure deployment note artifacts per package are in place, • Validate notes approve deployments, • Increase visibility about deployments blockers issues etc, • Centralised Communication, • Facilitate issue resolution during deployments through Triages, • Perform Impact Assessment wrt to deployments, • Coordinate and track test data requests with all suppliers including conflict resolution and escalations, • Review validate test data requests plan for the execution, • Verify that test environments are populated with appropriate data before test cycles begin 1 Technical • Strong understanding of DevSecOps Lifecycle, • Good understanding of Test Environment Management best Practices driving fragmented setups towards Integrated models, • CICD Pipeline Expertise, • Cloud Infrastructure Knowledge, • Familiarity with Cloud platforms AWS Azure, • Understanding of techniques to enhance deployment tasks, • Experience managing deployment activities multiple environments dev test etc, • Coordinating environment readiness and data refreshes across teams, • Understanding of service interdependencies and sequencing of deployments, • Tracking KPIs like deployment frequency lead time change failure rate, • Communicating deployment plans risks and outcomes to technical and nontechnical stakeholders, • Aligning multiple suppliers on timelines standards and integration points, • Maximise Environment Uptime Reduce unplanned downtime, • EntryExit quality gate alignment Metrics driven improvements, • Minimise Deployment Failures, • Setting up Triage for integrated Issues, • Deployment Dashboards for visibility About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion. Get the future you want | ___ Get the future you want |