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Senior Data Support Engineer (Azure / SQL / Power BI) – UK About the Role We’re working with a leading organisation seeking a Senior Data Support Engineer to join their growing data team. This role focuses on delivering high-quality data insights, supporting data integration processes, and enabling data-driven decision-making across the business. You’ll work across data analysis, reporting, and platform support, collaborating with stakeholders to turn complex data into meaningful and actionable insights. Key Responsibilities • Perform in-depth data analysis to support strategic and operational decision-making, • Work closely with stakeholders to gather requirements and deliver data-driven insights, • Design and develop reports, dashboards, and visualisations using tools such as Power BI or Tableau, • Support and maintain data pipelines and workflows within Azure environments, • Analyse and interpret trends, patterns, and anomalies in large datasets, • Develop and optimise SQL queries for performance and efficiency, • Contribute to the improvement of data collection, processing, and reporting frameworks, • Ensure data quality, integrity, and consistency across systems, • Collaborate with cross-functional teams to deliver data solutions aligned with business needs, • Provide guidance and support to junior team members where required Required Skills & Experience • Strong experience with SQL (query writing, optimisation, troubleshooting), • Hands-on experience with Azure Data Factory and Databricks, • Experience building dashboards and reports using Power BI or Tableau, • Solid understanding of data modelling and data structures, • Experience working with ETL/ELT processes, • Proficiency in Python or R for data analysis, • Strong analytical and problem-solving skills, • Ability to work with stakeholders and translate business requirements into data solutions Desirable • Experience working in cloud-based data environments (Azure preferred), • Exposure to data governance and best practices, • Experience supporting or mentoring junior team members Working Arrangement • Hybrid working model, • 2–3 days per week onsite in London

Job Title: Senior Python Developer Location: London, UK (3 days in office) SC Cleared: Required Job Type: Full-Time Experience: 10+ years About the Role: • Full-Stack Development:, • Contribute to both front-end and back-end development of applications and APIs interacting with the Azure Databricks platform., • Develop user interfaces using modern front-end frameworks (e.g., React, Angular, Vue.js) and ensure a seamless user experience., • Develop robust and efficient back-end services and APIs using Python., • Python Development:, • Develop and maintain Python code for data processing, API development, and integration with the Azure Databricks environment., • Utilise relevant Python libraries and frameworks (e.g., Flask, Django, Pandas, NumPy)., • Collaborate with cross-functional teams to build and enhance banking applications, • Work closely with UI/UX Designers to integrate visualizations seamlessly into web applications or other platforms, • Work on data interfaces to connect various systems within the bank., • Write unit and integration tests to ensure code quality and reliability., • .NET Development (Optional):, • Develop and maintain .NET code for back-end services, APIs, and integrations with other systems., • Utilise relevant .NET frameworks and technologies (e.g., ASP.NET Core, C#, Entity Framework)., • Write unit and integration tests to ensure code quality and reliability., • Reverse Engineering:, • Analyse and understand existing codebases (potentially Python) to identify areas for improvement, bug fixes, and new feature implementation., • Document findings and create clear specifications for changes., • Implement changes while maintaining the stability and functionality of the existing system. Why Join Us? • We’re a purpose‑driven organisation committed to creating positive impact and championing inclusion., • You’ll join a culture that encourages innovation, collaboration, and continuous growth., • We celebrate difference and believe diverse perspectives lead to stronger solutions., • Even if you don’t meet every requirement, we encourage you to apply — great talent comes from a variety of backgrounds., • Your lived experience, unique strengths, and personal story matter — they help us design better outcomes for the communities we serve., • We celebrate diversity of experience, knowledge, backgrounds, and perspectives, and believe these differences enable us to create meaningful impact. We are proud to be an equal opportunity employer and are committed to fairness and inclusion for all, regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital or partnership status, sexual orientation, gender identity, pregnancy or related conditions, or any other protected characteristic. If you require any reasonable adjustments or additional support during the recruitment process, please let us know.

Role : Lead Engineer (I) Reporting To : Chief Technology Officer Salary : £100,000 - £120,000 dependent on experience Working Location : Hybrid/ London (2 days a week on site at our Old Street office) PropTech | SaaS | Software Development 🏢 About Searchland Searchland is a high-growth, B2B prop-tech company transforming how businesses and individuals access and leverage property data. Our platform empowers property developers, land agents, architects, and planners with real-time insights, helping them make smarter, data-driven decisions when acquiring and developing land. In just five years, we’ve built one of the UK’s most advanced property data pipelines, integrating thousands of data sources and processing terabytes of information with less than 24-hour latency. Our cutting-edge platform is shaping the future of property intelligence. About The Role We’re looking for a Lead Full-Stack Engineer who will combine deep technical ability with strong leadership and architectural oversight. You will drive technical excellence across the organisation, mentor and develop engineers, and help shape the long-term direction of Searchland’s platform. This is a hands-on role - expect to contribute to the codebase daily - but also a highly strategic one. You will influence product direction through technical insight, guide multidisciplinary squads (engineering, data, design), and help build and scale a high-performing engineering organisation. 🎯 What You’ll Do • Technical Leadership & Architecture, • Provide architectural oversight across frontend, backend, data infrastructure, and platform components, • Set engineering standards and champion best practices in reliability, scalability, and maintainability, • Lead complex technical design discussions, ensuring trade-offs between speed, scope, and scale are well balanced, • Shape Searchland’s technical roadmap in partnership with product and data leaders, • Team Leadership & Mentorship, • Mentor senior and mid-level engineers, supporting growth through coaching, pairing, and design reviews, • Support multidisciplinary collaboration across data, design, and product teams, • Delivery & Hands-On Engineering, • Lead by example with high-quality contributions across the full stack, • Develop performant, accessible front-end features using React (Vite) + Tailwind, • Design and ship scalable APIs using Node.js, Express, and tRPC, • Maintain and improve PostgresQL database and query performance, • Work closely with our data team to evolve Elasticsearch-driven architectures, • Own delivery of complex projects from discovery through deployment and monitoring, • Cross-Functional Impact, • Translate complex technical challenges into clear, actionable insights for non-technical stakeholders, • Proactively identify opportunities to improve product performance, reliability, and developer experience 🌟 You Are An experienced engineer who has led teams or initiatives and thrives on pairing technical depth with leadership impact. You think holistically - systems, teams, product - and you influence through clarity, pragmatism, and strong delivery instincts. You likely bring: • A proven track record leading engineering initiatives or teams in a high-growth environment, • Strong communication skills and the ability to influence product direction through technical framing, • Experience mentoring engineers and helping teams deliver high-quality software at pace, • Comfort working with data engineers, designers, and product managers in multidisciplinary squads, • A proactive, ownership-driven mindset 🎯 Essential Experience • Right to work in the UK, • 7+ years in software engineering with at least 2–3 years in a lead, staff, or senior-plus role, • Demonstrable experience building and scaling SaaS platforms, • Experience leading technical architecture or system design initiatives, • Frontend: React (Vite), Tailwind, • Backend: Node.js, Express, tRPC, • Databases: PostgreSQL, Elasticsearch ➕ Desired Experience • Working in PropTech or data-heavy product environments, • Prior experience building or scaling engineering teams, • Familiarity with UK planning, property, or geospatial data 🤝 Interview Process • Initial introductory call with our HR Team, • Pre prepared technical task (React + Tailwind + tRPC + PostgreSQL) with a walkthrough & system design interview with a Senior Engineer, • Final interview with the Chief Technology Officer 🌟 Why Join Us? • Flexibility: Hybrid working with two days in our Old Street office, • Wellbeing & balance: 25 days holiday + bank holidays, your birthday off, Christmas office shutdown, and a HealthShield employee cash plan including dental, • Growth & development: Learn across onboarding, customer engagement, and project work, with mentoring and clear opportunities to progress in SaaS., • Tools & support: A MacBook and contribution to a home office setup, EMI scheme, and £500 per year personal growth fund., • Great culture: Free lunches and team socials (bake-offs, 3 Peaks challenge, staycations, holidays abroad when targets are hit) 🌍 Our Commitment to Inclusion We are committed to creating an inclusive, diverse workplace where every team member feels valued, heard, and empowered. If you need any accommodations during the recruitment process, we are here to support you. We welcome applications from all backgrounds, regardless of race, ethnicity, gender, sexual orientation, disability, age, religion, or any other characteristic. If you require any adjustments during the recruitment process, please let us know—we are happy to support you.

The Client Our client is a highly regarded discretionary investment manager with a strong focus on data‑driven decision making. They operate with a small, agile structure and are recognised for their commitment to excellence in trading and technology. Their in‑house technology function spans IT infrastructure, software development, and quantitative analysis, supporting all aspects of market data processing and trading activity. The environment is fast‑paced, collaborative, and highly technical, where code quality, performance, and low‑latency systems are top priorities. Engineers work across domains, contribute to architectural discussions, and help shape scalable, robust systems. We have partnered with this team for several years and have a close, direct working relationship with the CTO. We have successfully placed multiple individuals into the group and can provide detailed insight into the team structure, culture, and expectations. The Role The client is embarking on a major initiative to unify and expand their core systems, bringing more of this capability in‑house. As Head of Core Platform, you will lead this transformation—designing, planning, and implementing the evolution of the core technology stack to create a strong foundation for future growth. This is a hands‑on leadership role. You will develop and consolidate systems, write software, guide a team of developers, and take ownership of several critical platforms. This includes an in‑house C# PnL and Risk system that performs real‑time portfolio valuation, alongside other components that will be integrated into a cohesive, modernised core platform. You will work closely with senior stakeholders including the CTO, COO, Head of Operations, and Project Management. Candidate Profile Domain Expertise • Strong background in fixed‑income trading systems, • Knowledge across front‑, middle‑, and back‑office workflows, • Demonstrable expertise in:, • Repo trading and lifecycle management, • Post‑trade operations, clearance, and settlement, • Margin and collateral management, • Experience building systems that capture bond and swap (interest rate and FX) cashflow events, • Understanding of accrual (trade date) and realised (settlement date) accounting reconciliations, • Particular interest in candidates with Fixed Income and Rates experience Technical Skills • Strong computer science fundamentals, • Hands‑on development experience in:, • C# and .NET (essential for this role), • Python within quant or data environments, • The client will also consider exceptional engineers from other OOP backgrounds such as C++, Java, or Go, • Familiarity with UI technologies such as WinForms, WPF, Blazor Hybrid, and Blazor Web Leadership & Approach • Experience working in front‑office or trading‑technology environments, or on business‑critical systems, • Ability to lead by doing—hands‑on while guiding a team, • Pragmatic, delivery‑focused mindset, • Commitment to high‑quality engineering practices and low‑latency, high‑performance systems, • Low‑ego, high‑performing self‑starter who values ownership, teamwork, and delivering commercial, pragmatic solutions Why Apply This is a rare opportunity to take ownership of a mission‑critical transformation within a high‑performing investment manager. You’ll shape the architecture, engineering standards, and long‑term technical direction of the firm, working in a collegiate environment where ideas matter and technical excellence is valued. As a long‑standing recruitment partner to this team, we can provide deep insight into the role, expectations, and culture, ensuring you have a clear and accurate understanding of the opportunity.

Founding AI Engineer | London | AI Native Consumer Platform | up to £150K + Equity We’re partnering with a very early stage, well backed start-up building what they describe as an AI native lifestyle platform, using LLMs, agent based workflows and real time data to deliver highly personalised recommendations across travel, health, dining and experiences. Already seeing strong early traction with a high value user base, they are now expanding their founding engineering team as they scale both product and members. This is a true 0 to 1 opportunity to work directly with founders and shape both the product and technical direction from the ground up. What You’ll Do • Build and scale backend systems using Python and Django, • Own features end to end from idea through to production, • Design and evolve agent based workflows and LLM integrations, • Work with RAG style systems and context heavy data pipelines, • Improve performance across APIs, background jobs and data processing, • Collaborate closely with product and design to ship high quality user experiences What They’re Looking For • Strong software engineering fundamentals across system design, architecture and data structures, • Solid hands on experience with Python and backend development, • Experience working with LLMs, AI systems or agent based workflows in production, • Product mindset with a focus on usability, performance and real world impact, • High energy, ownership driven and comfortable operating in early stage environments Apply with a CV if you hit the above brief and you are interested to find out more details!! Thanks, Chloe

Senior Lead Engineer – GCP Data Platforms & DevEx Lead Location: London - Hybrid Rate: up to £700 per day inside IR35 We’re seeking a hands-on Senior engineering lead to design and deliver high-volume financial data pipelines on Google Cloud Platform (GCP) while improving the Developer Experience (DevEx). This is a pivotal role bridging complex data architecture and high-velocity engineering, ensuring our platforms remain secure, observable, and robust. What You’ll Do • Lead technical architecture and hands-on engineering across batch data pipelines (BigQuery, Dataproc, Cloud Storage), • Own Developer Experience (DevEx): automate environments, refine CI/CD pipelines, and reduce friction for engineering teams, • Build and optimize CI/CD pipelines using GitHub Actions, • Implement Infrastructure-as-Code (Terraform) for secure, scalable cloud environments, • Integrate database change management tools like Liquibase into automated pipelines, • Apply DevSecOps best practices across the lifecycle: static analysis, dependency scanning, and secure credential management, • Ensure observability, monitoring, and performance using GCP Operations Suite or New Relic, • Mentor engineers and collaborate across global, distributed teams What We’re Looking For • Proven experience in Lead Engineer, DevOps, or SRE roles with technical leadership, • Expert-level CI/CD automation and pipeline optimization, • Strong GCP expertise: BigQuery, Dataproc, Cloud Composer, • Deep data architecture and engineering knowledge: Spark, DBT, Oracle, BigQuery, • Experience designing scalable architectures (Microservices, Monoliths, Batch), • Skilled in observability, monitoring, and DevSecOps integration, • Excellent communication with a record of collaborating globally Why You’ll Love It • Combine architecture, coding, and leadership in one role, • Influence the Developer Experience for a large engineering team, • Work on high-impact financial data systems, • Drive innovation in GCP cloud infrastructure and automated pipelines Apply now to shape the future of financial data processing and developer productivity!

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. What You’ll Do: • Own and manage the full lifecycle of both ML models and core infrastructure - from development and deployment to monitoring and continuous improvement., • Build and maintain robust CI/CD pipelines for both software and ML workflows., • Ensure reliability, scalability, observability, and security of production systems and ML infrastructure., • Automate deployment, orchestration, and environment management using modern DevOps tooling., • Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production., • Proactively detect, troubleshoot, and resolve infrastructure and model performance issues., • Stay up to date with industry best practices in DevOps, MLOps, and infrastructure engineering., • Document infrastructure, workflows, and operational procedures clearly and thoroughly. We’re Looking For: • Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role., • Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch., • Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes)., • Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm)., • Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing., • Ability to design scalable, secure, and observable systems in fast-moving environments., • Strong debugging and problem-solving skills across distributed systems., • Excellent collaboration and communication skills, with experience working in cross-functional teams., • Understanding of security and compliance best practices for both software and ML systems. What we offer: • Competitive salary plus participation in our Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

Senior GCP Data Engineer (Contract) Location: London (Hybrid) Rate: £450-550 per day IR35 Status: Outside IR35 Duration: 3 Months (Initial + likely extension) The Opportunity We are looking for a high-calibre Senior GCP Data Engineer to join one of London's fastest-growing technology success stories. Following a period of exceptional performance and record-breaking growth, the company is scaling its data infrastructure to support global operations. The Role As a Senior Data Engineer, you will be a key architect and builder of our modern data platform. You will be responsible for: • Pipeline Engineering: Designing and implementing robust, scalable ETL/ELT pipelines to ingest data from a variety of internal and external sources., • Infrastructure: Leveraging the full power of Google Cloud Platform to ensure high availability and performance of our data environment., • Optimization: Refining and optimizing complex SQL queries and Python scripts to ensure efficient data processing and cost management., • Architecture: Collaborating with stakeholders to define data models and ensure the data architecture supports the company's rapid scaling., • Best Practices: Championing engineering excellence through CI/CD, automated testing, and comprehensive documentation. Your Tech Stack • Language: Expert-level Python and advanced SQL., • Cloud: Extensive experience with GCP (BigQuery, Cloud Storage, Dataflow/PubSub, Cloud Composer/Airflow)., • Tools: Experience with data orchestration tools and version control (Git)., • Environment: Proficiency in building production-grade pipelines. What We’re Looking For • A proven track record of delivering end-to-end data engineering projects on GCP., • Senior-level experience in managing complex datasets and distributed systems., • A "delivery-first" mindset with the ability to work independently in a fast-paced, high-growth environment., • Excellent communication skills to translate technical concepts for non-technical leadership.

Java Architect (with Capital Markets exp.) Project description We are building an end-to-end client lifecycle management solution, where technology drives procedural automation and standardization. Our solution includes industry-leading modules and tools widely adopted by financial institutions. This strategic initiative spans the entire client lifecycle—from onboarding to maintenance and offboarding—while providing seamless integration with various in-house products such as Counterparty Manager, ISDA Amend, Outreach360, Request for Amendment, KYC, and Tax Utility. We leverage a mature Java/Spring Boot-based tech stack, supported by AWS infrastructure, along with the latest advancements in the industry to deliver this solution over a multi-year span. Responsibilities • Working across backend, front-end, data, and AI functions, with a focus on modern architectures, AI-driven automation, and cross-jurisdictional data compliance., • Design and architect solutions for complex business challenges in the client lifecycle management space, utilizing your extensive experience with the Java/Spring Boot/Angular/PostgreSQL tech stack and AWS infrastructure., • Provide guidance and technical leadership to development teams on best practices, coding standards, and software design principles, ensuring high-quality outcomes., • Demonstrate a deep understanding of existing system architecture (spanning multiple systems) and creatively envision optimal implementations to meet diverse client requirements., • Play a key role in the development team to create high-quality, high-performance, and scalable code., • Troubleshoot and resolve complex software issues and defects within the Java/Angular/PostgreSQL tech stack and AWS-based infrastructure., • Build systems for KYC, AML, FATCA/CRS, LEI, and other regulatory checkpoints., • Implement automation across entity matching, data validation, and workflow orchestration using AI/ML., • Implement agentic AI and LLM-based services to streamline onboarding, document processing, and exception handling., • Ensure compliance with data privacy, data sovereignty, and regulatory architecture patterns (e.g., regional sharding, zero-data copy patterns)., • Bring in proven experience working with or on Client Lifecycle Management and/or KYC workflow solutions, demonstrating a strong grasp of the subject matter. Skills Must have • Strong Core Java 8+/Java EE design skills, including design patterns., • Significant experience in designing and executing microservices using Spring Boot and other Spring components (JDBC, Batch, Security, Spring Data, etc.)., • Proficient in messaging tools such as Active MQ, SQS, SNS, and Kafka., • Expertise in optimizing SQL queries on PostgreSQL databases., • Strong experience with multithreading, data structures, and concurrency scenarios., • Proficient in using REST APIs, XML, JAXB, and JSON in creating layered systems., • Experience with AWS Services (AWS Lambda, AWS CloudWatch, API Gateway, ECS, ECR, SQS, SNS)., • Familiarity with Open AI APIs, Agentic AI – Crew / LangChain / RAG / AutoGen / NLP / Java / Python / REST / Telemetry / Security / Auditability., • Domain knowledge in client onboarding, KYC, and regulatory workflows, with a deep understanding of the client onboarding lifecycle: initiation, due diligence, approvals, legal entity structuring, and regulatory documentation., • Hands-on experience with entity resolution and matching (graph-based ID resolution, fuzzy match frameworks)., • Proven experience leading a development team on client lifecycle management products., • Experience with enterprise architecture frameworks (TOGAF, Zachman) and threat modeling (STRIDE)., • Knowledge of data partitioning, GDPR, and the latest UI trends, such as Micro Frontend Architecture, is desirable., • Experience with Pega / Appian is a plus

Principal Data Platform Architect Project description We are seeking a Principal Data Platform Architect with proven experience leading enterprise data platform migrations from Palantir Foundry to Databricks. This role will drive the strategic design, migration, and optimization of the enterprise data ecosystem, transitioning data pipelines, ontologies, and transformation workflows from Palantir Foundry to a scalable Databricks Lakehouse architecture. The successful candidate will provide architectural leadership and technical direction, ensuring data integrity, governance, performance, and long-term platform sustainability. You will collaborate closely with data engineering, DevOps, and business stakeholders to modernize the data platform, establish best practices, and deliver a secure and high-performance migration. Responsibilities • Define and execute the end-to-end migration roadmap from Palantir Foundry to Databricks, including target architecture, data models, security, and governance frameworks., • Analyze existing Foundry pipelines, datasets, and ontologies, and redesign them into scalable Databricks (Delta Lake) ETL/ELT workflows using PySpark and SQL., • Implement validation frameworks to ensure complete data accuracy, consistency, and lineage throughout the migration process., • Optimize Spark workloads, cluster configurations, and storage strategies to ensure high performance and cost-efficient operations in Databricks. Must have • Advanced Databricks Experience. Deep knowledge of Databricks architecture, Delta Lake, job orchestration, cluster management, and performance tuning., • Proven Migration Experience (Palantir → Databricks). Demonstrated experience leading or executing platform migrations, including pipeline conversion, data model redesign, and production cutover., • Expert-Level PySpark & Python Skills. Strong ability to design, optimize, and refactor distributed data processing workflows., • Advanced SQL & Data Modelling Expertise. Experience in dimensional modeling, lakehouse architecture patterns, and query optimization., • Hands-on Expertise in Palantir Foundry. Proven experience with Foundry pipelines, ontologies, data lineage, transformations, and platform governance., • Understanding of the Investment Data Domain., • Familiarity with Dynatrace or Datadog for system observability and monitoring., • Databricks certification, cloud certifications (Azure/AWS), or enterprise data architecture certifications.

AI Engineer (Contract) – £500/day Outside IR35 📍 Canary Wharf, London (3 days onsite) 🇬🇧 UK-based applicants only We’re looking for experienced AI Engineers who think holistically, automate relentlessly, and know how to turn modern AI capabilities into production-grade, high-impact applications. Our AI organisation is building real-world AI products that deliver business value at speed. This role is ideal for seasoned engineers who combine strong software engineering fundamentals with a pragmatic, hands-on approach to AI tooling and infrastructure. What you’ll be doing • Designing, building, and maintaining production-grade AI applications using modern engineering practices (CI/CD, testing, observability, cloud-native design)., • Developing reusable AI platforms and tools (e.g. conversational bots, AI-powered search, unstructured data processing, GenAI solutions)., • Working in cross-functional, embedded teams with business stakeholders to rapidly deliver AI solutions to high-priority problems., • Evaluating and integrating AI tools and frameworks (LLMs, vector databases, RAG, AI agents) into robust, scalable systems., • Championing automation across the full AI lifecycle—from data ingestion and preprocessing to deployment and monitoring., • Collaborating closely with data scientists, product managers, and engineers to ensure reliable end-to-end delivery., • Contributing to internal tooling, documentation, and best practices to scale AI engineering capability. What we’re looking for • Several years of professional software engineering experience, with a track record of shipping complex systems to production., • Strong Python skills and experience building APIs, microservices, and backend systems., • Solid understanding of software architecture, cloud infrastructure (AWS and/or Azure), and modern DevOps practices., • Hands-on experience integrating ML models into production systems (LLMs via APIs, fine-tuning, RAG, embeddings, agents)., • Experience with tools such as LangChain, LlamaIndex, Haystack, Hugging Face, Weaviate, CrewAI, AutoGen, or similar., • Hands-on work with Retrieval Augmented Generation, AI agents, and agent orchestration frameworks., • Experience working with unstructured data (documents, conversations, images)., • Background in platform engineering, internal developer tools, or forward-deployed/embedded team models., • Rate: £500 per day, • Location: Canary Wharf, London (3 days onsite per week), • Eligibility: Must be UK-based

Senior AI Platform Engineer – Up to £90,000 Base Hybrid: 1–2 Days per Week On‑Site (South West London) A tech‑led insurer is scaling a new AI function and hiring an AI Platform Engineer to build production‑ready AI systems on GCP. This is one of the first hires into a newly created AI organisation, with the mandate to make the business the UK’s first fully AI‑powered insurer. What You’ll Do • Build and operate production‑grade AI agents on GCP using Google’s ADK, • Integrate AI systems with policy, claims and CRM platforms via REST/JSON APIs, • Develop scalable RAG pipelines including ingestion, text processing and vector search, • Implement evaluation, monitoring, A/B testing and cost/latency dashboards, • Shape architectural patterns, engineering standards and wider AI strategy, • Work across key AI products including claims automation and internal retrieval tools Role Requirements • Background in Data/ML Engineering or Software Engineering with strong applied AI experience, • Deep expertise in GCP (Vertex AI, BigQuery, Cloud Run/Functions, ADK, Model Garden), • Strong Python and API development experience, • Hands‑on with LLMs, embeddings, RAG, vector databases, • Proven track record building production‑ready AI systems with observability and testing, • Solid DevOps capability: CI/CD, Docker, Kubernetes Work Environment & Location • 1–2 days per week on‑site in either:, • South West London, • Hybrid flexibility the remainder of the week Key Products You'll Impact • Claims Automation (Agentic AI): End‑to‑end automated claims processing focused on efficiency, indemnity savings and cost reduction, • Internal AI‑powered retrieval tool already live and expanding across internal platforms Why Join? • Direct and visible impact on P&L, cost savings and operational performance, • A fast feedback loop — far quicker than large insurers or corporates, • Significant “low‑hanging fruit” in automation and workflow optimisation, • Opportunity to build agentic systems from the ground up, • Backed investment and a roadmap to scale the AI team to 10+ people, • Chance to be part of a pivotal transformation as the organisation becomes an AI‑powered insurer Apply below!

Senior Radar Analyst Enfield, North London | Hybrid/On-site | Permanent Up to £65,000 doe We are seeking Senior Radar Analyst to join a global defense organisation in their Research & Development team. This role will focus on analysing radar and related systems, developing new radar design concepts, and modelling current and next-generation radar technologies to support system performance and development. Key Responsibilities • Develop mathematical models of radar and radar sub-systems using MATLAB, Simulink and Mathcad, • Analyse radar system performance and produce technical reports, • Design and develop digital signal processing algorithms, • Provide design data and technical support to hardware and software teams, • Support validation and testing of developed systems, • Work closely with suppliers and technical partners to ensure performance targets are met, • Contribute to the development of new radar systems and technologies, • Prepare and present technical material to internal and external stakeholders Requirements • Bachelor’s or Master’s degree in a relevant engineering or scientific discipline, • Experience with MATLAB and Digital Signal Processing, • Knowledge of radar or related fields such as sonar, communications, or image processing, • Strong analytical and problem-solving skills, • Proven ability to deliver technical work on time and within budget, • Strong written and verbal communication skills, • Ability to travel occasionally within the UK and internationally Desirable Experience • Pulse Compression, Doppler Filtering, CFAR or radar detection techniques, • Radar video/image processing, tracking or phased array radar, • Embedded software, Linux or FPGA development, • RF, antenna or radar electronics, • Programming experience in Python or C/C++ This is an exciting opportunity to play a key role in the development of next-generation radar systems within a highly technical R&D environment. If you are interested in the Senior Radar Analyst role then please apply today. Unfortunately there is no sponsorship opportunity with this position.

My client, a high-performing, data-driven hedge fund, is seeking a top-tier Graduate / Junior C# Developer to join their London-based technology team. This is a rare opportunity to join a lean, high-calibre environment where technology sits at the core of the business. The team is directly aligned to the trading function, building systems that process market data, support analytics, and enable trading decisions across fixed income markets. You will be working in a flat, agile team with real ownership from day one, contributing to a wide range of projects and actively participating in architectural discussions. The environment is fast-paced, with an iterative development cycle and weekly production releases, requiring engineers who are both pragmatic and delivery-focused. Key Responsibilities will include: • Building and enhancing high-performance systems in C# supporting trading and analytics workflows, • Developing tools for market data processing, trading infrastructure, and internal platforms, • Working across the full development lifecycle: design, implementation, testing, and production support, • Collaborating closely with traders, quants, and engineers to deliver robust, scalable solutions, • Contributing to system architecture and design decisions from an early stage The team regularly tackles complex engineering challenges, including: • State management and fault tolerance at scale, • Concurrency and race conditions, • Distributed compute and parallelisation, • Horizontal scaling and sharding, • Large-scale data processing A successful candidate will: • Have an outstanding academic background (Computer Science, Maths, Physics or similar), • Demonstrate strong experience with C# / .NET, • Possess a solid foundation in data structures, algorithms, and system design, • Show evidence of technical curiosity and extracurricular projects, • Be motivated to work in a high-performance, collaborative environment, • Exposure to financial markets (bonds, swaps, rates, FX), • Experience with Python for data or quantitative work, • Familiarity with Linux environments You can expect: • A high-impact role working directly with the trading function, • A flat structure with real ownership and responsibility, • Exposure to complex, non-trivial engineering problems at scale, • A fast-paced environment focused on continuous learning and improvement, • Highly competitive compensation and bonus structure To apply, either respond to this advert or send your CV directly to .

We are looking for an experienced Service Operations Engineer. Responsibilities: • Responsible for planning the server or rack, arranging the server mounting or rack installation, and following up the installation of the server operating system, • Responsible for the daily maintenance, troubleshooting, repair and follow-up break-fix of the server and other hardware, • Maintain data on internal systems including Asset Management, Ticketing, & rack elevations, • Work with remote vendors or junior SOE to solve hardware batch failures and problems, • Oncall on duty, responsible for dealing with the problems raised by the business owner side, • Collect and check online asset data, • Submit and track the part RMA or media destruction process, • Server network troubleshooting, • Server lifecycle management, • Other server operation related work Requirements: • Bachelor’s Degree in Computer science, Electrical engineering or any other relevant fields, • Strong ability to work under pressure; Strong learning ability, broad technical interest; Strong sense of responsibility, full of enthusiasm for work, • Good communication skills in English, Mandarin is preferred, good team work spirit; Ability to work independently, • Knowledge of the interdependencies of data center functions and technologies, • Experience with massive remote OS installation such as PXE boot, • Can understand and run Shell or Python scripts, • Familiar with simple automation tools, such as Ansible, • Familiar with Linux system, able to locate hardware faults; Strong analytical and problem solving skills, • Basic TCP/IP knowledge concepts – Subnetting, VLANs, DNS, Ipv6; Ability to perform general troubleshooting, • Knowledge of out-of-band/lights-out server communication methods, such as IPMI and NCSI, • Strong documentation skills and habits What we offer • Onsite - London, • Full Time Employment; Permanent Contract, • Attractive Remuneration Package, • Career Growth Opportunities, • Skills Enhancement through Udemy Business, • Work in a well-established Multinational Company, • Supportive international team About Centific Centific expertly engineers platforms and curates multimodal, multilingual data to empower the ‘Magnificent Seven’ and enterprise clients with safe, scalable Artificial Intelligence(AI) deployment. Our team includes over 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We leverage an integrated ecosystem comprised of industry-leading partnerships, and 1.8 million vertical domain experts across 230 locales, to create high-quality pre-trained datasets, fine-tuned industry-specific Large Language Models(LLMs), and Retrieval-Augmented Generation (RAG) pipelines supported by vector databases. Our innovations can reduce Generative Artificial Intelligence(Gen AI) costs by up to 80% and bring Gen AI solutions to market 50% faster. Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in Generative AI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by leveraging Generative AI at scale, ensuring they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets. Applying to this job implies your agreement with: In compliance with the applicable data protection regulations (General Data Protection Regulation 679/2016), we at Centific, as data Controllers, inform you that the data collected will be processed to manage your application in the selection process. This processing is legitimized by the consent given upon submitting your application, and the data will be retained for a maximum of two years. You may exercise your rights of access, rectification, deletion, opposition, restriction of processing, and data portability by contacting Furthermore, if deemed necessary, you may file a complaint with the relevant supervisory authority. Your Authentic Self at Centific Centific is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Centific is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

PaymentGenes is proud to be partnering with a high-growth, international technology organisation to appoint a Senior / Lead Data Scientist (AI-Native, AWS ML Stack, Production-Focused). This is a strategic hire within a business scaling real-world AI solutions — moving beyond experimentation into production-grade, AI-powered systems embedded directly into enterprise workflows. If you are passionate about deploying scalable ML systems that deliver measurable commercial impact, this opportunity is for you. This role goes beyond model experimentation! You will design, deploy, and scale AI-driven solutions using modern foundation models and AWS-native machine learning infrastructure. From LLM-powered agents to predictive models embedded in automated workflows, your work will directly influence business operations at scale. You’ll operate at the intersection of modelling, engineering, and intelligent automation. 🌐 What You’ll Do 🧠 Model Development & AI Systems Design • Design and train predictive models using AWS SageMaker, • Develop LLM-powered systems via AWS Bedrock (including Claude integration), • Build RAG pipelines combining structured and unstructured data, • Develop evaluation frameworks for accuracy, bias, and robustness, • Architect reasoning agents using advanced foundation models, • Use code-generation tooling for automation logic and integration scripting, • Orchestrate multi-step AI workflows, • Deploy AI-powered decision layers into enterprise processes, • Deploy and manage models using SageMaker (training, endpoints, pipelines), • Leverage Bedrock for foundation model access, • Implement serverless inference with Lambda & API Gateway, • Utilise S3, Glue, Athena for data processing, • Implement CI/CD for ML workflows, • Monitor performance via CloudWatch and drift detection tooling, • Build reproducible ML pipelines, • Implement model versioning and dataset tracking, • Design structured output validation and guardrails, • Monitor performance and trigger retraining cycles, • Identify high-impact AI use cases, • Translate business problems into ML system designs, • Lead experimentation frameworks (A/B testing, uplift modelling), • Mentor data scientists and collaborate closely with data engineering, • Communicate AI strategy and risk to senior stakeholders 🛠 Technical Environment Core Data Science • Advanced Python & SQL, • Statistical modelling & ML algorithms, • Feature engineering, • SageMaker (training, endpoints, pipelines), • Bedrock (foundation models incl. Claude), • Lambda (serverless inference), • S3, Glue, Athena, • CloudWatch, • Foundation models for reasoning workflows, • Code-generation tooling for automation scripting, • Agent orchestration frameworks, • Enterprise workflow automation tools, • RAG architectures, • Embeddings & vector stores 👤 What We’re Looking For • 6–10+ years in data science or applied ML, • Proven experience deploying ML models into production, • Hands-on experience with AWS-native ML services, • Experience building LLM-powered workflows or AI agents, • Demonstrated delivery of measurable business impact You’ll Thrive If You Have: • Strong problem-framing ability, • Systems-level thinking beyond model accuracy, • AI governance awareness, • Clear communication across technical and executive audiences, • A bias toward practical deployment over research-only outputs 💡 Example Projects You Might Deliver • Production fraud detection model deployed via SageMaker endpoint, • Internal AI copilot powered by Bedrock and embedded into workflows, • RAG-based compliance monitoring assistant, • Automated revenue forecasting pipeline with retraining triggers, • AI-driven document intelligence system (classification + extraction) 📈 What Success Looks Like • Reduced time from model prototype to production, • Stable, monitored ML endpoints delivering measurable ROI, • Improved decision accuracy in automated workflows, • Strong adoption of AI-enabled tools across the business, • Controlled infrastructure cost per inference This is a rare opportunity to build AI systems that operate at real scale within a forward-thinking technology environment. If this excites you, please reach out to the PaymentGenes team directly via LinkedIn, who can provide more detail and insight into this company's journey into AI and the opportunity.

Senior Software Engineer The Opportunity On behalf of a global powerhouse in FinTech Infrastructure, we are seeking a Senior Software Engineer. Our client operates one of the largest financial networks, serving as the digital backbone for thousands of global financial institutions. This is a senior-tier appointment for an engineer who excels at building resilient, high-concurrency systems and wants to lead the digitalization of global financial markets. The Technical Stack You will be working within a modern, engineering-first culture. The core stack includes: • The Engine: Expert-level C# and .NET Core mastery., • Architecture: Deep understanding of SOA (Service Oriented Architecture) and complex Object-Oriented design patterns., • System Dynamics: Specialized knowledge of concurrency, asynchrony, and parallelism—essential for real-time transactional processing., • Data & Web: High proficiency in SQL Server, Web API design, and modern front-end fundamentals (HTML/CSS/JS)., • Reliability: A strict practitioner of TDD (Test Driven Development) and robust CI/CD processes. Desired Innovations Our client is actively modernizing. Exposure to the following is highly valued: • Cloud & Orchestration: Azure ecosystems, Docker, and Kubernetes (AKS)., • Messaging Patterns: Enterprise systems like Azure Service Bus or NServiceBus., • Next-Gen Tech: Experience with Blockchain development or Cryptographic concepts is a significant plus., • Modern UI: TypeScript and Angular for responsive, data-heavy interfaces. Your Impact • Technical Leadership: You will participate in defining the technology and process strategy, occasionally leading high-level innovation or software design initiatives., • Full-Lifecycle Ownership: Design, document, and communicate system solutions that balance high performance with security and cost-effectiveness., • Collaboration & Mentorship: Act as a "Technical Enabler," bridging the gap between deep engineering and business-led requirements while mentoring junior talent., • Innovation: Drive the modernization of global financial infrastructure, replacing frictional legacy processes with fast, efficient, and scalable digital services. Who You Are • FinTech Professional: You have a deep commercial background in Financial Services, Payments, or Transactional Systems. You understand the stakes of high-volume, regulated data., • Team-Centric: You thrive in an Agile environment where team dynamics and peer reviews are taken seriously., • Strategic Thinker: You can contextualize your technical work for non-technical stakeholders and have a passion for "big picture" system evolution. Package & Culture • Salary: £90,000-£100,000 per annum + Performance-related Bonus., • Flexibility: A balanced Hybrid model out of a state-of-the-art Central London office., • Benefits: Industry-leading pension, private healthcare, and a culture that prioritizes professional growth.

Full Stack Software Engineer – Industrial Systems / Factory Operating Platform We are currently partnered with a rapidly scaling deep tech company transforming industrial manufacturing through distributed, software-defined factories. With operations already live across the UK, they are expanding quickly and looking to grow their engineering team with a Full Stack Software Engineer to help build their proprietary factory operating system. This role is full time on site Key responsibilities • Architect, design, and develop core systems powering factory automation, real-time data processing, and user-facing applications, • Own full-stack development across infrastructure, backend services, frontend/UX, and real-time monitoring systems, • Work closely with leadership and on-site factory teams to identify operational bottlenecks and translate them into high-impact software solutions, • Rapidly deploy and iterate software directly within live production environments Key requirements • Bachelor’s degree in Computer Science, Engineering, or a related field, • Experience in full stack software engineering, • Strong coding ability across backend and frontend technologies, with a preference for strong UX/front-end experience, • Experience building and scaling complex systems in production environments, • Ability to operate independently with high ownership in fast-paced, ambiguous settings Keywords: Full Stack / Backend / Frontend / UX / Distributed Systems / Real-Time Data / Factory Automation / Industrial Software / Infrastructure / Machine Learning / Monitoring Systems / High Reliability / Production Systems / Manufacturing Technology If you are interested in this position, please send a CV to By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ___

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. Job Description We’re looking for a Principal Payments Architect to join our growing team in London. This is a specialised architectural leadership role focused on shaping and delivering enterprise-grade payment platforms - from gateway and authorisation layers through to clearing, settlement, and financial management. This role is suited to someone who thrives in complex, high-stakes environments and operates confidently at the intersection of business strategy and technical execution. You will engage across the full lifecycle - from early discovery and architectural shaping through to delivery oversight - ensuring that solutions are scalable, secure, commercially viable, and aligned to long-term platform strategy. You will be responsible for designing robust, maintainable architectures that address real client challenges. You will define target-state platforms, challenge assumptions constructively, and ensure that technology decisions are grounded in strong domain expertise and measurable business outcomes. What You’ll Be Doing You will bring deep expertise in merchant acquiring and payment processing across both online and physical acceptance channels. This includes a strong understanding of gateway architecture, authorisation lifecycles, 3DS/SCA, scheme integrations, tokenisation, fraud decisioning, reconciliation, settlement, and financial ledger integration. You will: • Design and review scalable, resilient payment architectures capable of supporting high transaction volumes and demanding availability requirements, • Define and govern non-functional requirements including latency, throughput, availability, recoverability, observability, and security, • Shape API strategies, integration models, and event-driven or distributed system designs that support extensibility and regulatory compliance, • Contribute to PCI DSS scoping strategies and secure-by-design approaches within cloud and hybrid environments, • Participate in architectural governance forums, representing Endava with clarity and authority, • Support pre-sales and bid shaping activities by defining credible, commercially grounded target-state solutions Where appropriate, you will explore the application of emerging capabilities - including AI-driven optimisation, intelligent routing, fraud modelling, and AIOps - ensuring innovation is grounded in practical, value-led use cases. Qualifications We’re seeking someone with significant experience designing and delivering enterprise-grade payment solutions in regulated environments. You will: • Demonstrate deep knowledge of acquiring, gateway processing, and scheme connectivity, • Be fluent in architectural principles and able to apply them pragmatically across APIs, integration layers, distributed systems, and cloud-native services, • Have experience operating in complex, multi-stakeholder environments with formal governance structures, • Be comfortable defining target architectures and guiding delivery teams to implement them effectively, • Have experience with major cloud platforms (AWS, Azure, or GCP) and modern engineering and delivery practices Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.

Geotechnical Engineer – Senior Duration: 13/04/2026 – 16/08/2026 Location: UK (London) Project Name: IOW0102 At least two days in the office – 30 hours per week 7.5 hours per day Key competencies: • Have proven experience in offshore site characterisation and analyses of in situ data and laboratory test results, • Have proven experience with processing and validating geotechnical data, including AGS data handling and with writing Geotechnical Interpretation Reports (GIRs), • Have knowledge of the geotechnical input required for foundation and cable design, installation constraints and understanding of the interfaces with different engineering teams, • Have a high degree of personal responsibility and accountability and capable of working with different tasks in parallel, • Have strong analytical, communication and stakeholder management skills and enjoy working closely with colleagues and project teams., • Must be able to speak and write English fluently, • Must be results oriented Additional competencies: • Have in-depth experience with planning and scoping of offshore geotechnical site investigations, including deep shallow and nearshore site investigation techniques Key Tasks • Integrated ground model development working closely with clients Geophysical Site Characterisation Department, • Geotechnical Parameter Interpretation using in situ and laboratory test data to create profiles to support foundation and cable design and installation, • Use client in-house software, Python and/or Excel to perform analyses and present results, • Prepare and QA geotechnical interpretive report and other deliverables to stakeholders Additional Tasks • Prepare geotechnical site investigation scopes to support foundation and subsea cable design and installation, • Advanced geotechnical parameter interpretation e.g. development of cyclic contours Requirements: Working location: UK (London). The candidate should default from our office at least 3 days a week, but this can be negotiated depending on the candidate. Desired start date: 13-04-2026 Workload: 0.75 FTE Contract period: fixed with option for prolonging The work will be performed under client quality assurance procedures and on clients digital platforms. Key competencies: • Have proven experience in offshore site characterisation and analyses of in situ data and laboratory test results, • Have proven experience with processing and validating geotechnical data, including AGS data handling and with writing Geotechnical Interpretation Reports (GIRs), • Have knowledge of the geotechnical input required for foundation and cable design, installation constraints and understanding of the interfaces with different engineering teams, • Have a high degree of personal responsibility and accountability and capable of working with different tasks in parallel, • Have strong analytical, communication and stakeholder management skills and enjoy working closely with colleagues and project teams., • Must be able to speak and write English fluently, • Must be results oriented Additional competencies: • Have in-depth experience with planning and scoping of offshore geotechnical site investigations, including deep shallow and nearshore site investigation techniques Key Tasks • Integrated ground model development working closely with clients Geophysical Site Characterisation Department, • Geotechnical Parameter Interpretation using in situ and laboratory test data to create profiles to support foundation and cable design and installation, • Use clients in-house software, Python and/or Excel to perform analyses and present results, • Prepare and QA geotechnical interpretive report and other deliverables to stakeholders Additional Tasks • Prepare geotechnical site investigation scopes to support foundation and subsea cable design and installation, • Advanced geotechnical parameter interpretation e.g. development of cyclic contours

I’m partnering with an ambitious industrial technology startup focused on rebuilding advanced manufacturing capacity in the West. The company is developing a network of distributed, software-defined factories designed to help hardware companies iterate faster and scale production efficiently. They are now hiring a Full Stack Software Engineer to help build and scale their proprietary factory operating system, the core software platform that powers factory automation, operational intelligence, and production orchestration across their network of facilities. Key Responsibilities: • Architect, design, and develop critical systems supporting factory automation, real-time data processing, and operational workflows., • Own full-stack development across infrastructure, backend services, frontend interfaces, and monitoring tools., • Work closely with leadership and factory-floor teams to identify operational bottlenecks and translate them into impactful software solutions., • Deploy and iterate on software rapidly, working closely with manufacturing operations to directly control and optimize production., • Lead projects from concept through deployment, ensuring systems are reliable and fault-tolerant in high-stakes industrial environments., • Build systems that optimize machine utilization and orchestrate production across a distributed network of factories. Key Qualifications: • 2–5 years of professional software engineering experience (exceptions made for exceptional candidates)., • Experience working as a founder, founding engineer, or early employee at a fast-paced startup, or engineering experience at a top-tier VC-backed technology company., • Background in aerospace, defense, or other high-performance engineering organizations is advantageous., • Experience building frontend-heavy SaaS applications with strong attention to UX., • Familiarity with TypeScript, React, Postgres, and AWS., • Strong generalist mindset with the ability to work across the stack and operate independently in high-autonomy environments., • Deep motivation to contribute to the rebuilding and onshoring of advanced manufacturing capability.

Job title: Technical Lead Reporting to: Deputy Director of Content Protection and Enforcement, Development Location: London Bridge, London (3 days working from the office, 2 days from home) Start Date : April 2026 About IFPI IFPI is the voice of the recording industry worldwide. IFPI and its National Group network represents the interests of some 8,000 members across the globe. Our mission is to make music thrive by promoting the value of recorded music, campaign for the rights of record producers, and expand the commercial uses of recorded music. IFPI’s head office is located in London, with additional offices in Brussels, Nairobi, Singapore, Miami, Abu Dhabi and a representative office in Beijing. We have affiliated organisations in 70 countries, including national groups and music licensing companies that represent their own region’s member record companies. Our CPE (Global Content Protection & Enforcement) technology team develops tools and systems that safeguard members' rights around the clock — from monitoring online infringement to supporting legal investigations. The role This is a technical leadership role, not a management role. You will be the most senior technical voice in a focused team of three developers, responsible for guiding architecture decisions, shaping delivery practices, and ensuring that the solutions we build are robust, maintainable, and fit for purpose. A significant and growing part of how we develop software is through AI-assisted development. Working closely with senior management, you will champion best practices in agentic AI development — including how to structure projects, write effective prompts and markdown specifications, maintain coding standards across AI-assisted workflows, and coordinate consistent practices across the team. You will also contribute to defining the guardrails that allow the team to move quickly without sacrificing quality. The solutions we build range in scale. Some are small enough to be built rapidly via vibe coding; others require careful architecture, modular design, and production-grade engineering. Your experience is important to identify the differences and lead accordingly. General Responsibilities Architecture & Tech Stack • Provide well-reasoned, defensible decisions about tech stack selection — balancing capability, maintainability, team familiarity, and long-term cost., • Evaluate the best architectural approach according to the specific characteristics of each project, using simplicity, efficiency, robustness, and optimisation as guiding principles., • Challenge solution designs and provide appropriate advice to ensure that systems are broken down sensibly and not over-designed., • Maintain awareness of the broader technology landscape and guide the team toward proven, appropriate choices. AI-Assisted Development Leadership • Work closely with the deputy director to establish protocols and best practices when using AI-based coding to roll out team-wide standards., • Establish conventions for project structure, markdown specifications, prompt design, and code review in AI-assisted workflows., • Identify where AI-assisted development accelerates delivery and where it requires more careful oversight., • Ensure AI-generated code meets the same quality, security, and maintainability standards as hand-written code. Delivery & CI/CD • Orchestrate the delivery of production-ready code, from design through deployment., • Co-coordinate deployment strategies, and release practices appropriate to the team's scale., • Define standards for testing, code review, and code health that the team can follow consistently., • Ensure engineering plans and test schedules are clearly defined and communicated. Team Guidance & Culture • Serve as the lead the team can look to for technical guidance on hard decisions., • Mentor and guide developers of varying experience levels, fostering a collaborative, learning-oriented environment., • Foster a 'you build it, you run it' culture that builds accountability and operational awareness. Position Requirements Essential • 5+ years of professional software development, with meaningful time in a tech lead or senior architect role., • Demonstrated experience making architecture decisions at team or product level — and defending them to stakeholders., • Strong proficiency in Python and at least one modern frontend framework (Vue.js, React, or Angular)., • Solid grasp of SQL database design, RESTful APIs, and backend systems., • Hands-on experience with AWS or equivalent cloud platforms; understanding of cloud-native architecture patterns., • Practical experience with CI/CD tools and DevOps principles in a production environment., • Experience with or genuine enthusiasm for agentic AI coding tools., • An instinct for appropriate simplicity: the ability to resist over-engineering and recognise when a straightforward solution is the right one., • Excellent written and verbal communication; comfortable engaging technical and non-technical audiences alike. Desirable: • Familiarity with agentic AI workflows, prompt engineering, and managing AI-generated code in production., • Experience with web scraping or crawling systems (relevant to our content monitoring work)., • Knowledge of NoSQL technologies (MongoDB preferred)., • Experience with data engineering, ETL processes, or ML-adjacent applications., • AWS certifications, or willingness to obtain them., • Interest in music, copyright, or the broader creative industries. How to apply Candidates who can demonstrate that they meet specifications set out above and can prove that they have the right to work in the UK should send an application to or by post to HR Department, IFPI Secretariat, The Shard, 7th floor, 32 London Bridge Street, London, SE1 9SG. The application should include your CV and a covering letter stating how you meet each requirement. Due to the need to fill this role swiftly, applications will be reviewed on a rolling basis, and we reserve the right to close this advert before the confirmed closing date when we receive sufficient applications. Closing date for applications Monday 6th April 2026 Interview Process We will, having reviewed applications on a rolling basis, seek to conduct interviews with candidates via online or in person. In order to process job applications, IFPI collects personal information submitted by applicants. By applying for this role, you are consenting to that processing. All personal information is processed in line with our privacy policy set out at . EEO Statement IFPI is committed to equal opportunities and welcomes colleagues from a diverse range of backgrounds.

Senior Fullstack Engineer: Cyber Startup Location: London or easy commute for hybrid setup We're partnering with a well-funded, cybersecurity intelligence company building a next-generation third-party and supply chain risk platform. The Opportunity You’ll work across the stack (backend-leaning), helping build and evolve a platform that ingests and processes large-scale intelligence data used by security, finance and resilience teams. You’ll: • Build and maintain backend services (TypeScript / Node.js), • Develop and extend APIs, • Contribute to high-volume data ingestion and processing workflows, • Ship frontend features in React / TypeScript when needed, • Write clean, well-tested, well-documented code, • Participate actively in code reviews and engineering standards, • Collaborate closely with Product and Engineering leadership What They’re Looking For • 3+ years backend experience (strong Node.js / TypeScript), • Comfortable working across the stack, • Someone who understands good system design - even if you haven’t led architecture yet, • Clear communicator, great team player, high ownership Bonus if you’ve worked with: • Python (data processing / automation), • Data pipelines or high-volume ingestion, • AWS or infrastructure-as-code exposure Why This Role Is Interesting • Early high-impact hire - funded, structured, and growing intentionally, • Strong technical leadership to learn from, • Real ownership without being thrown in the deep end, • Meaningful equity at Series A stage, • Cyber / supply chain risk - a space that’s only becoming more critical This is ideal for someone who wants to level up technically while still having tangible impact on a product from its early stages. Connect with Emmy on LinkedIn or shoot her an email -

🚀 Founding Product Engineer | London | High-Growth, AI-Driven Product If you’re the kind of engineer who wants to build something from the ground up, work directly with founders, and ship a product that’s already seeing real user traction, this is one of those rare opportunities. We’re partnering with a venture-backed, product-led startup building a highly personalised, AI-driven platform that helps users make better decisions across their daily lives - from travel and health to dining and experiences. The product is already live, growing fast, and showing exceptional engagement early on. Now, they’re expanding their founding engineering team to scale what they’ve built so far. 💡 The Role As a Founding Product Engineer, you’ll work closely with the CTO and early team to build and scale the core systems behind the product. This is a hands-on, high-ownership role where you’ll take features from idea → production, shape technical decisions, and help define how the platform evolves as it scales. 🔧 What You’ll Be Doing • Building and scaling backend systems using Python & Django, • Owning features end-to-end, from design through to deployment, • Developing APIs, background processing systems, and AI-driven workflows, • Working with data-heavy pipelines and retrieval-based systems, • Improving performance across queries, APIs, and infrastructure, • Operating within a cloud-native environment (GCP), • Debugging production issues and driving resolution, • Collaborating closely with product, mobile, and frontend teams, • Contributing to engineering standards and raising the technical bar ✅ What They’re Looking For • 5+ years building production backend systems, • Strong experience with Python and Django (DRF), • Solid understanding of SQL, system design, and performance optimisation, • Experience with background job systems (e.g. Celery), • Exposure to LLMs, AI systems, or agent-based architectures, • Experience working in cloud environments (ideally GCP), • Strong product mindset - you care about performance, reliability, and user impact, • Comfortable in a fast-paced, in-person environment 🎯 Why This Role • True founding engineer scope and ownership, • Work directly with an experienced founding team, • Build a product already showing strong real-world usage, • High-impact role with clear progression as the company scales, • Join a team focused on quality, speed, and building meaningful products 🎁 Benefits • Competitive salary + equity, • $2,000 learning & tech budget, • Premium health coverage (incl. dental & vision), • Lifestyle and wellness perks, • Complimentary meals + evening transport, • 15 flexible remote days per year If you’re excited by early-stage ownership, building at speed, and working on a product people actually use daily, I’d love to speak. 📩 Apply directly or reach out to 📨 Or message me here for more details

💼 Role: Lead Python Engineer (Hands-on Team Lead) 📍 Location: London – Hybrid (3 days office / 2 days WFH) 💰 Salary: Up to130k base 🏦 Industry: Fintech Platform We’re working with a profitable, high-growth UK fintech building a platform used by wealth and advisory firms to manage investment accounts, portfolios and trading workflows. Following a recent Series C funding round, the company is scaling quickly and continuing to expand the product platform — both in terms of scale and functionality. As a result, they’re growing the engineering team and looking for a Lead Python Engineer to take ownership of a core part of the platform. The Role This is a hands-on technical leadership role (50-70% hands-on), leading a small backend pod while remaining closely involved in development. You’ll be responsible for building and evolving core backend systems that support investment workflows, financial data processing and trading-related operations. What You’ll Be Working On • Building scalable backend services in Python, • Designing systems that process financial data and investment workflows, • Leading architecture and technical design for new features, • Running a small engineering pod and guiding delivery, • Improving reliability, performance and resilience of core systems, • Mentoring engineers and raising engineering standards across the team What We're Looking for • Extensive experience with commercial Python backend development, • Experience building production backend systems, • Experience leading projects or small engineering teams, • Strong understanding of distributed systems or data-heavy platforms, • Comfortable working in a fast-moving scale-up environment Why apply? • Work on core financial infrastructure, • Join a profitable company with strong funding and real platform adoption, • Lead a pod while staying deeply hands-on technically, • Help shape a platform that is growing quickly in both scale and capability Feel free to contact Chris Williams with any questions.

💼 Role: Lead Python Engineer (Hands-on Team Lead) 📍 Location: London – Hybrid (3 days office / 2 days WFH) 💰 Salary: Up to 130k base 🏦 Industry: Fintech Platform We’re working with a profitable, high-growth UK fintech building a platform used by wealth and advisory firms to manage investment accounts, portfolios and trading workflows. Following a recent Series C funding round, the company is scaling quickly and continuing to expand the product platform — both in terms of scale and functionality. As a result, they’re growing the engineering team and looking for a Lead Python Engineer to take ownership of a core part of the platform. The Role This is a hands-on technical leadership role (50-70% hands-on), leading a small backend pod while remaining closely involved in development. You’ll be responsible for building and evolving core backend systems that support investment workflows, financial data processing and trading-related operations. What You’ll Be Working On • Building scalable backend services in Python, • Designing systems that process financial data and investment workflows, • Leading architecture and technical design for new features, • Running a small engineering pod and guiding delivery, • Improving reliability, performance and resilience of core systems, • Mentoring engineers and raising engineering standards across the team What We're Looking for • Extensive experience with commercial Python backend development, • Experience building production backend systems, • Experience leading projects or small engineering teams, • Strong understanding of distributed systems or data-heavy platforms, • Comfortable working in a fast-moving scale-up environment Why apply? • Work on core financial infrastructure, • Join a profitable company with strong funding and real platform adoption, • Lead a pod while staying deeply hands-on technically, • Help shape a platform that is growing quickly in both scale and capability Feel free to contact Chris Williams with any questions.

Staff NLP Engineer – LLMs / Search / AI Systems London (Hybrid – 2 days onsite) £90,000 – £110,000 + Equity I'm working with an AI-first technology platform transforming how complex intellectual property research is done using Natural Language Processing, Large Language Models and advanced search systems. They were early adopters of LLMs and are now building agentic AI workflows capable of autonomously answering complex research questions. They're looking for a Staff NLP Engineer to lead the development of their language and search systems. The Role You'll work on the core AI systems powering the platform, including: • Improving search relevance and ranking (precision & recall), • Designing LLM-powered NLP pipelines, • Developing language models and NLP systems for production, • Building and optimising large-scale search infrastructure, • Developing agentic LLM workflows for complex research tasks, • Contributing to the technical direction of NLP and data systems This is a hands-on role with significant influence on the evolution of the company's AI capabilities. What they're looking for • Strong Python experience, • Commercial Natural Language Processing (NLP) experience, • Experience building production ML/NLP systems, • Experience with TensorFlow or PyTorch, • Experience with search technologies (Elasticsearch, OpenSearch etc.), • Experience working with large datasets or language systems Experience with LLMs or information retrieval systems would be beneficial. Package • £90,000 – £110,000 salary, • Stock option plan, • 25 days holiday, • Pension contributions, • Flexible working, • Ongoing learning & development Apply or message me directly if you'd like to learn more.

Head of Pre-Trade Data & Analytics | £160k base + Bonus | London | Permanent Industry: Trading Location: London - 3 days in office Job Type: Permanent Our client, a global energy trading firm, is seeking a Head of Pre‑Trade Data & Analytics to lead the strategy, engineering, and operation of its next-generation Pre‑Trade Data platform. The role will consolidate three core systems into a single, scalable platform used by Traders, Trading Analytics, Quants, and Algo developers for curve management, pricing, analytics, and pre-deal decision-making. This hands-on leadership role requires a technologist with data science credibility, engineering expertise, and the ability to influence senior stakeholders across Trading, Risk, Analytics, and Technology. Key Responsibilities • Define and execute the Pre‑Trade Data & Analytics strategy across core systems., • Deliver a multi-year roadmap including ClickHouse migrations, metadata consolidation, common APIs, scraper consolidation, and platform resilience improvements., • Rationalise, deduplicate, and govern curves across systems., • Architect and oversee a Medallion-style platform using Python, React, ClickHouse, Kafka/event streaming, Azure/AWS, and C#/.NET., • Remain hands-on with design, prototyping, code reviews, and architecture decisions., • Lead engineers, data scientists, and platform leads across EMEA, fostering a cohesive culture., • Collaborate with Traders, Quants, Algo teams, and Trading Analytics to prioritise delivery and communicate progress to leadership., • Oversee system consolidation, cloud migration, data quality improvements, and legacy database decommissioning., • Ensure production stability, high service standards, KPIs, and SLAs across regions. Required Experience • Solid experience in data engineering, platform architecture, or distributed systems in trading or high-data environments., • Hands-on Python experience and familiarity with modern frameworks; React for UI delivery., • Experience with streaming/event-driven architectures (Kafka) and large-scale data processing; ClickHouse or similar highly desirable., • C#/.NET experience beneficial for legacy systems., • Knowledge of energy trading, commodities, or financial markets., • Understanding of curves, market data, pricing models, algo workflows, and analytics platforms., • Quantitative skills in statistical modelling, machine learning, or computational analytics., • Experience leading multi-country engineering organisations and large-scale platform transformations., • Strong stakeholder management, prioritisation, and delivery discipline in fast-paced trading environments. To find out more, please apply directly or connect with me on LinkedIn.

Automation Engineer London, UK On-site (with flexibility for hybrid working) We’re partnered with an early-stage platform biotech startup emerging from stealth, backed by leading venture capital investors. The company is building AI-driven “self-driving laboratories” designed to transform how drug products are developed. Their platform combines robotics, automation, and machine learning to explore vast formulation spaces, automatically design and run experiments, and continuously learn from the results. By replacing traditional trial-and-error experimentation with high-throughput automated workflows, they aim to reduce formulation development timelines from months to days while unlocking medicines that were previously too complex to develop. Operating at the intersection of biotech, robotics, and AI, the team is building the next generation of laboratory infrastructure to accelerate pharmaceutical innovation. You will be the person who makes the self-driving lab actually run. That means integrating robots, analytical instruments, and software into reliable, end-to-end workflows, and working closely with scientists to translate their methods into automation that holds up at scale. Responsibilities • Pioneer the next generation of robotic platforms for drug formulation., • Design, implement, and scale automated liquid-handling and sample-processing workflows., • Design and automate fully closed loop robotic systems which can be remotely operated, • Integrate instruments and robotics via APIs, SDKs, and communication protocols; own instrument driver development and maintenance., • Build scheduling and orchestration layers for multi-instrument workflows, handling error recovery, retries, resource contention, parallelism, and state management., • Develop robust interfacing layers and simulation environments to accelerate development and reduce deployment risk., • Work with scientists to translate lab methods into automation-friendly procedures; work with Data/ML to stream rich telemetry and results downstream. Requirements • Advanced degree (PhD) or MSc with equivalent industry experience., • Proven experience automating laboratory workflows with liquid handlers, collaborative robotic arms and common analytics instruments (plate readers, HPLC/UPLC, balances, imagers)., • Strong software skills in Python, with comfort using modern tooling: git, containers, and testing frameworks., • Experience with lab automation schedulers (e.g., PyLabRobot, Opentrons Protocol API, or similar) and instrument SDKs., • Background in building simulation environments to de-risk hardware integrations before deployment., • Systems-minded: you think about reliability, failure modes, and observability from day one, not as an afterthought. Desirable • Experience with fabrication and prototyping, including 3D printing custom parts to adapt or extend lab equipment., • Familiarity with data engineering or ML pipelines, particularly for streaming structured experimental telemetry., • Experience in pharmaceutical, biotech, or regulated lab environments. Benefits • Competitive base salary alongside a meaningful equity package, giving you the opportunity to share in the company’s long-term success., • The chance to have real autonomy and impact within an early-stage startup, helping shape both the scientific direction and the development of the platform., • Direct exposure to founders and the C-suite, with the opportunity to influence strategy and decision-making as the company scales., • A beautiful, collaborative lab and working space in the heart of Central London, designed to bring scientists, engineers, and data teams together., • Hybrid flexibility, balancing hands-on lab work with the ability to work remotely where appropriate. Interested? Apply and we will be in touch!

Job Title: Sr. Software Engineer Work Schedule: Onsite 5 days Location: London, England Job Summary: We are looking for a hands-on Senior Software Engineer to own and accelerate our product delivery pipeline — from back-end database optimization to client-facing interactive dashboards and reporting platforms. This is a builder role. You will work directly alongside the Head of Data & Customer Analytics to identify bottlenecks, design improvements, and push products from backlog to production. You will be embedded in a small, high-output team where your contributions are immediately visible and impactful. Responsibilities: • Optimize and maintain a Treasury Dashboard hosted in client Azure environments (currently Streamlit-based; you will evaluate and drive the framework roadmap), • Lead the build of a web-based, interactive Risk Reporting platform — replacing a PDF solution with a scalable, multi-prime broker plug-and-play product, • Reduce client onboarding time for new reporting deployments to under two weeks, • Improve load times and performance across existing data pipelines and dashboards, • Integrate external and client-side data sources into existing reporting infrastructure, • Work across the full stack: database layer, back-end logic, front-end delivery. Qualifications: • Advanced Python: data processing, scripting, web frameworks (Streamlit, Django, or equivalent), • C / C++: performance optimisation, low-level processing, • Java: application-level development, • Microsoft Azure: cloud deployment and hosted application environments, • Database optimisation: SQL, query tuning, load performance, • Front-end development: web performance, interactive UI components, data visualisation, • Experience building or replicating BI/reporting tools (Tableau-equivalent functionality, interactive charts, drill-down tables)

Engineering Manager Our client, a MarTech business building an AI-driven platform that helps teams make better decisions about digital content and performance are looking for an Engineering Manager to join the team. Responsibilities: • Lead end-to-end delivery of complex product features., • Blends hands-on coding and strategic leadership (approx. 50/50 split)., • Managing engineers in a product environment, • Ensure engineering excellence: enforce code review standards, implement practical testing strategies, maintain CI/CD hygiene, and define clear completion criteria., • Collaborate closely with Product and Delivery teams to drive alignment and execution. Requirements: • Proven experience managing engineering teams in a product-focused environment (startups or scale-ups preferred)., • Leading cross-functional teams (Product, Design, Engineering, Operations)., • Full-stack technical proficiency: able to review, unblock, and guide frontend and backend development., • Strong software engineering fundamentals, including API design, data modeling, testing, and operational readiness., • Excellent stakeholder management skills. Tech Stack: • Frontend: React, TypeScript, • Backend: Java 17+, Python (FastAPI), • Databases: NoSQL, • Cloud: GCP or equivalent, • DevOps: Docker, CI/CD, • Experience with ML pipelines and media processing is a plus They are looking to pay up to £100K base + benefits. It’s a hybrid role with travel to the central London office 2x per week. Please apply with your most update to date CV and if successful a consultant will be in touch

Staff Applied Scientist (NLP / Machine Learning) London (Hybrid – 2 days onsite) An innovative AI-first technology company is looking for a Staff Applied Scientist to take a technical leadership role in building advanced machine learning and NLP solutions. The company develops cutting-edge platforms that leverage large language models and machine learning to answer complex research questions through intelligent search and automated workflows. As the organisation continues to scale its AI capabilities, they are looking for someone to lead and shape the technical direction of their data and NLP initiatives. The Role As a Staff Applied Scientist, you will act as the technical lead for data and NLP initiatives, driving improvements across search, machine learning models, and AI-driven workflows. Responsibilities include: • Improving search performance (precision and recall), • Optimising search algorithms to deliver fast and accurate results, • Designing and implementing agentic AI workflows powered by LLMs, • Building and maintaining scalable data pipelines, • Leading technical decision-making across ML and NLP projects Requirements • 8+ years of commercial engineering and/or data science experience, • Experience in technical leadership or leading ML initiatives, • Strong Python programming skills, • Commercial experience with machine learning, • Experience working in Natural Language Processing (NLP), • Experience training ML models using TensorFlow and/or PyTorch, • Experience with search databases (e.g. Elasticsearch, OpenSearch), • Experience with cloud platforms (e.g. AWS), • Willingness to work 3 days per week onsite in London Benefits • Stock option plan, • 25 days annual leave, • Pension contributions, • Flexible working arrangements, • Training and development opportunities If you're interested in applying advanced AI and NLP techniques to solve complex problems and want to play a key role in shaping a growing AI platform, we’d love to hear from you.

Director - Data Architecture & Engineering Location - UK Business Cities | Model - Hybrid – UK Citizens pls Salary - £110k - £135k - depending on Excerience and location You'll lead a diverse team of exceptional talent working to deliver cutting-edge data engineering solutions for high-growth organisations operating in the mid-market private sector. In addition to delivering exceptional client outcomes, you’ll play a pivotal role in growing the business by supporting the directors in converting bids into a secured pipeline. If you’re looking for a role where you can stay close to the technology by designing and building contemporary data platforms, this opportunity offers exactly that. What You’ll Be Doing • You'll help clients define what good looks like, make confident technology choices, and, with the support of your team, shape the design and build of robust, scalable data platforms., • Leading complex data and engineering engagements using Microsoft Azure, Fabric and Databricks., • Writing and reviewing high-quality Python and SQL for data transformation, automation and analytics., • Translating complex technical concepts into clear, actionable insights for non-technical audiences., • Building a pipeline of advisory-led data, analytics and AI engagements, • Coaching, mentoring and developing high-performing data and engineering teams. What You’ll Bring • A blend of strategic advisory capability and hands-on technical depth., • Significant experience in data architecture and data engineering, including platform design and build., • Strong expertise in Microsoft Azure cloud services for data storage, processing and analytics., • Proven experience with modern data platforms such as Fabric and Databricks, with strong programming skills in Python and SQL., • Confidence engaging with senior stakeholders, including board-level conversations, while remaining comfortable working close to the technology. For More information, apply here, or email

AI Engineer [Analyst] – Early Career Role About the Job As an early‑career AI Engineer at Cerberus, you’ll join a small, high‑impact team building AI systems that power decision‑making across a global investment platform. You’ll work alongside experienced AI engineers, data scientists, and technologists to deliver real products used by investment teams and portfolio companies. This role is ideal for: • PhD graduates in a STEM field with applied ML, optimization, or computational experience; or What You’ll Do Build and deliver ML systems Work with senior engineers to design, train, and deploy machine learning models and data-driven tools that support investment and operational decision-making. Contribute to real production deployments Help integrate ML models into business workflows, build data pipelines, and support the rollout of AI applications across teams. Experiment and iterate Prototype ideas, test assumptions, and rapidly evolve solutions based on real user feedback and real-world constraints. Learn modern tooling and practices Gain hands-on experience with ML frameworks, cloud infrastructure, MLOps tools, and best practices for building scalable AI systems. Communicate clearly Translate technical findings into clear, structured insights for collaborators across technical and business teams. Grow as an AI engineer Develop skills across the full ML lifecycle—data processing, modelling, evaluation, deployment, and ongoing improvement. Sample Projects You Might Work On GenAI for due diligence Support the configuration, extension, and rollout of our in-house GenAI platform across investment teams. Work with senior engineers to customise workflows, analyse model outputs, and drive adoption. Automated Deal Sourcing Tools Help build prototypes that extract signals from datasets and integrate with APIs to enrich leads. Support the creation of modular ML-driven components that can be used across investment strategies. (Both examples are reframed so junior team members contribute meaningfully but are not expected to independently lead full workstreams.) Your Experience We don’t expect candidates to have experience across all areas—what matters most is strong technical fundamentals, curiosity, and a willingness to learn quickly. Foundational skills • Degree in a STEM field., • PhD candidates: applied research involving ML, optimisation, simulation, statistics, numerical methods, NLP, or related areas., • Experience writing clean, maintainable Python code., • Applied AI experience such as exposure to LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.) and experience with small personal or internship projects building agents or AI-driven workflows., • Comfortable working with data, performing analysis, and writing SQL queries., • Familiarity with tools like MLflow, Weights & Biases, or cloud platforms (Azure, AWS, or GCP)., • Strong problem-solving skills, • Curiosity and eagerness to learn, • Pragmatic, impact-driven approach, • Ability to work collaboratively in a fast-paced environment About Us We are a growing team of AI specialists—data scientists, ML engineers, software engineers, and technology strategists—working to transform how a global investment firm with $65B+ in assets uses data and AI. We operate like a startup within the firm: fast, collaborative, and focused on delivering real value. Our work spans investment desks, portfolio companies, and core operations, giving early-career engineers wide exposure and the opportunity to grow rapidly.

Full Stack Software Engineer - TypeScript / React / Postgres / AWS / Terraform / DevOps We are looking for a number of highly motivated Full Stack Software Engineers to join a fast-growing industrial tech startup focused on reinventing manufacturing. You will play a central role in building and scaling their proprietary platform transforming factory operations in aerospace, energy, and other critical industries. The company is focused on speeding up manufacturing for the scale-up companies shaping the future, from rockets and drones to satellites and nuclear energy. Currently running four small-to-medium software-driven factories across the UK and US, they are on track to expand to 25 factories by the end of 2026. This is a hands-on, high-autonomy role for a generalist developer who thrives on real-world impact and has a strong sense of ownership. Applicants with frontend or UX experience are particularly welcome. Bonus points for experience as a founder, founding engineer, or working in aerospace and defense. What you’ll do: • Architect, design, and develop critical systems for factory automation, real-time data processing, and user experience., • Own full-stack development across infrastructure, backend services, machine learning, UX, and real-time monitoring., • Work directly with leadership to identify bottlenecks and build software solutions that improve factory operations., • Deploy and iterate software rapidly on-site, integrating directly with production processes., • Lead projects from conception to deployment, ensuring fault-tolerant systems in demanding environments., • Optimize machine tool utilization and manage orchestration across multiple production facilities. What they're looking for • 2–5 years of full-stack software development experience, exceptions made for exceptional talent., • Strong programming skills, ideally in TypeScript and React, with experience in Postgres, AWS, Terraform, and DevOps., • Ability to work independently in a high-autonomy environment., • Experience translating operational challenges into impactful software solutions., • Bonus: prior experience in startups, aerospace, defense, or as a founding engineer. What they offer • Full-time, on-site role in London (five days per week)., • Competitive base salary plus equity (typically ~0.5% for engineers with a few years’ experience, potentially >1% for exceptional candidates), • Opportunity to work on software that directly accelerates industrial operations in high-stakes environments., • Visa sponsorship available for eligible candidates. This is an opportunity to shape the software backbone of a company bringing manufacturing into the future, working closely with a small, experienced team with backgrounds in military, government, enterprise, and exited tech ventures. If this sounds interesting and you'd like to learn more, click the link below to apply or email me with a copy of your CV on By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (___)

Machine Learning Engineer, London (5 days a month in office), £90,000 - £120,000 per annum My client, a leading regulatory intelligence company are currently looking to bring on an ML Engineer on a permanent basis. This is a key hire for the business and will look to move quickly for the right candidate. They are based in Central London and you will be required in their London office 5 days per month. As ML Engineer, your mission is to: • Participate in the continuous improvement of our client's products, • Develop advanced NLP and AI-based products that will delight users, • Provide excellence in cloud-based ML engineering, with as much focus on Operations as Development., • Expand of the Team’s knowledge via demonstration and documentation Key Responsibilities As a machine learning engineer, your main responsibility is to conduct the development and productionisation of ML and NLP-based features for the client's products - a SaaS Platform and an API. • Develop optimal ML & NLP solutions for use cases, from baseline to SOTA approaches, wherever appropriate., • Produce high quality, modular code, and deploy following our established DevOps CI/CD and best practices., • Improve the efficiency, performance, and scalability of ML & NLP models (this includes data quality, ingestion, loading, cleaning, and processing)., • Stay up-to-date with ML & NLP research, and experiment with new models and techniques., • Perform code-reviews for your colleague’s code. Engage with them to raise standards of Software engineering., • Propose cloud architectures for ML-based products that need new infrastructure., • Participate in the monitoring and continuous improvement of existing ML systems. Core requirements Experience matters. But what is more important than raw number of years of experience is demonstrated proficiency (through GitHub profiles/online portfolios and the interview process itself). Bonus points for Stack Overflow and Kaggle contributions! What we are looking for • Experience analysing large volumes of textual data (almost all of our use cases will involve NLP) 🔠, • Ability to write clear, robust, and testable code, especially in Python 🐍, • Familiarity with SQL and NoSQL/graph databases 🏦, • Extensive experience with ML & DL platforms, frameworks, and libraries 📚, • Extensive experience with end-to-end model design and deployment within cloud environments ☁️, • A ___ approach 🌐, with passion for MLOps best practises 🌀, • An engineer that can think in O(n) as much as plan the orchestration of their product., • Solid understanding of data structures, data modelling, and software architecture, especially cloud-based. 🏛️, • An engineer that can keep up with mathematically and statistically-oriented colleagues 🔢, • A healthy sense of humour.

Senior AI Engineer London - 1-2x week in office Salary: £80,000 - £90,000 This is an exciting opportunity to join a business that is investing heavily in AI and modern cloud technologies. You will play a key role in building AI‑driven products that have a direct impact on customer experience, operational efficiency and the future of their platform. The Company They are a tech‑forward insurance organisation with a strong focus on delivering smarter, more personalised digital products. Their teams combine data, engineering and customer expertise to create solutions that simplify complex challenges for their users. Innovation, collaboration and a flexible working culture are at the heart of how they operate. They continue to scale their AI capability and are looking for someone who can help shape this next phase of growth. The Role In this AI Platform Engineer role, you will: • Design, build and operate AI‑first products that deliver measurable value., • Develop and deploy production‑grade AI agents on GCP using ADK, integrating with internal systems via REST and JSON APIs., • Build and maintain robust evaluation and monitoring frameworks, including online and offline testing, A/B experiments and performance dashboards., • Integrate AI agent functionality with applications through MCP servers and reliable tool configurations., • Develop secure and scalable RAG pipelines, including ingestion, text processing, metadata handling and vector search in GCP., • Embed security, compliance, GDPR controls and best‑practice engineering with clear documentation and stakeholder collaboration. Your Skills and Experience To be successful, you will bring: • Strong Python skills for backend services, SDKs, API development, authentication and testing., • Hands‑on experience working with LLMs, embeddings, prompt engineering, tool calling and RAG design., • Practical knowledge of GCP services including Vertex AI, Model Garden, BigQuery, Cloud Run and Google’s ADK., • Experience with document and data processing using tools such as Apache Tika, plus storage or caching technologies like Postgres, Redis, GCS or BigQuery., • Solid DevOps practices including CI/CD, Docker, observability and automated testing., • A product‑led mindset with a strong understanding of security, IAM, auditability and defining success metrics. What They Offer • Opportunities to shape AI products from the ground up., • A collaborative environment that encourages innovation and career progression. How to Apply If you are excited about building production‑ready AI systems and want to drive meaningful impact, please apply with your CV.

Full Stack Software Engineer - Start Up / Industrial Automation We are partnered with a London-based manufacturer reinventing industrial production through their proprietary software. The team is hiring a Fullstack Software Engineer to architect and scale systems that control factory automation and real-time data processing for the aerospace and energy sectors. This is a permanent onsite position in London, UK. Key responsibilities for this Full Stack Software Engineer position: • Architect and develop critical systems for factory automation and real-time monitoring., • Take ownership of the full stack, including infrastructure, backend services, and UX., • Identify operational bottlenecks and build software solutions that directly impact factory floor efficiency., • Deploy and iterate software rapidly by engaging directly with physical manufacturing processes., • Lead projects from conception to deployment, ensuring fault-tolerance in high-stakes environments. Key requirements: • 2–6 years of experience in Full Stack development., • Proficiency in TypeScript, React, and Postgres., • Experience with AWS, Terraform, and modern DevOps practices., • A generalist mindset with a passion for real-world impact (UX/frontend experience is a plus)., • Ability to work 5 days a week onsite to collaborate with physical production teams. Keywords: Fullstack Engineer / TypeScript / React / AWS / Terraform / Postgres / Industrial Automation / DevOps / Factory OS / Startup / London / Manufacturing Tech If you are interested in this Full Stack Software Engineer position, please send a CV to

Full Stack Developer (Python + Next.js) Full Time | On-site London, UK or Luxembourg Overview A fast-growing European technology company working at the intersection of AI and drug discovery is looking for a Full Stack Developer to join their engineering team. The organisation is building next-generation software platforms that enable pharmaceutical and biotechnology companies to run large-scale in-silico biological experiments, dramatically accelerating research that traditionally relies on physical wet labs. This is an opportunity to work within a high-calibre, founder-led team developing tools that combine machine learning, data infrastructure, and modern web technologies to transform how biological research is conducted. You’ll play a key role in building scalable applications used by scientists and engineers working on cutting-edge drug discovery programmes. The Role You will contribute to the development of a full-stack platform that enables scientists to run and analyse complex biological simulations and experiments. Responsibilities include: • Building and maintaining backend services in Python, including APIs and data-processing pipelines, • Developing frontend applications using Next.js and React, • Designing and implementing FastAPI endpoints for data-intensive application, • Writing robust tests using pytest and managing CI workflows via GitHub Actions, • Collaborating with engineers and researchers to deliver features end-to-end, • Writing clean, maintainable and well-tested production code, • Contributing to architecture and infrastructure decisions as the platform scales Requirements • 2+ years professional experience as a software developer, • Strong proficiency in Python for backend development, • Experience building APIs and production services, • Experience developing modern frontend applications using Next.js and React, • Solid understanding of REST APIs and client–server architecture, • Experience with testing frameworks (pytest) and CI/CD pipelines, • Familiarity with TypeScript, CSS frameworks and component-based UI design, • Experience with Git and collaborative development workflows, • Ability to work in a fast-paced environment and take ownership of features Nice to Have Development & Infrastructure • Experience with Docker and containerised deployments, • Familiarity with AWS services (S3, EC2, ECR, Cognito), • Experience working with JupyterHub, JupyterLab or Airflow APIs, • Experience building developer platforms or internal tooling, • Knowledge of SQL and/or NoSQL databases AI / Machine Learning • Exposure to ML/AI workflows or data science tooling, • Experience with MLflow or model tracking systems Scientific / Data Applications • Experience working with scientific or bioinformatics datasets, • Exposure to single-cell RNA-seq, DNA/RNA sequences, AnnData or other omics data

We have partnered with an end-to-end biotech company that is developing transformational medicines, with technology at its core. The company’s ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. It leverages single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding—from cause to cure. This year, the company embarked on a dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing its internal osteoporosis programme. By combining cutting-edge ML capabilities with GSK’s deep expertise in drug discovery, the partnership underscores the company’s commitment to pioneering science and delivering impactful therapies to patients. The company is rapidly scaling its technology and discovery teams, creating a unique opportunity to join one of the most innovative TechBio organisations. Based in central London, its state-of-the-art wet and dry laboratories provide an exceptional environment where interdisciplinary collaboration thrives. It is pushing the boundaries of drug discovery and transforming groundbreaking science into impactful therapies for patients. The company believes that innovation flourishes through diversity and collaboration. As an equal opportunities employer, it is committed to building inclusive teams where everyone can contribute their unique perspectives and thrive. Individuals from all backgrounds are encouraged to apply. The Opportunity The company is seeking a Research Engineer to join its Machine Learning group to drive the development, deployment, and scaling of ML and computational systems across the organisation. This role sits at the intersection of research and engineering, improving research workflows, supporting rapid experimentation, and enabling teams to push the limits of modern ML. The Research Engineer will collaborate with machine learning scientists, data scientists, platform engineers, and other domain experts across the organisation. Depending on priorities, the engineer may work within a specific ML team or operate in a cross-functional capacity. Based at the company’s wet/dry lab and headquarters in central London, the role involves working with large datasets, complex models, and high-performance compute. The engineer will strengthen training and inference pipelines, improve software foundations, and optimise the hybrid on-prem/cloud environment, including dedicated DGX clusters and collaborations with partners like NVIDIA. Responsibilities • Work with interdisciplinary teams to solve challenges across data engineering, ML engineering, and software engineering, • Build and improve data processing, transformation, and loading systems to support model training and inference at scale, • Develop and maintain high-quality research and production codebases to enable rapid, reproducible experimentation, • Advance software engineering practices by optimising systems, streamlining pipelines, and improving robustness across workflows Education & Experience • BSc/MSc/PhD in Computer Science, Machine Learning, Engineering, or related field, • 2+ years of industry experience Core Skills • Solid understanding of algorithms, data structures, and computational complexity, • Proficiency in Python with clean, maintainable coding practices, • Familiarity with PyTorch and common scientific Python libraries Machine Learning Expertise • Solid understanding of ML fundamentals and modern deep learning, • Experience training, evaluating, and iterating on models Infrastructure • Familiarity with AWS or GCP, Docker, Kubernetes, and CI/CD, • Familiarity with orchestration tools (Airflow, Prefect) and model-serving frameworks Nice to Have • Exposure to biology, bioinformatics, or machine learning for scientific domains Personal Attributes • Collaborative team player, able to communicate effectively with stakeholders from diverse backgrounds and technical abilities, • Passionate about science and making a real difference for patients, • Self-motivated, curious, and driven to succeed, • User-minded: considers how datasets and models will be used downstream, • Comfortable working independently and taking initiative Why Join • Work in a highly collaborative, interdisciplinary environment, • Access to state-of-the-art wet and dry lab facilities in central London, • Shape the systems and infrastructure that support cutting-edge ML research, • Contribute directly to advancing drug discovery and improving patient outcomes The company is a committed equal opportunities employer and welcomes applicants from all backgrounds.

Global Payroll Manager - Europe Role Location • Work Arrangement: On site, South East England (within practical commuting distance of the Western Greater London / Thames Valley corridor), • Confidentiality Notice: Exact office location to be disclosed at shortlist stage onlyEligibility & Engagement Criteria, • This position requires in-office work with some hybrid flexibility, please note that this is not a remote position., • Applicants must already be locally based within a reasonable commuting distance, • Candidates must possess the legal, unrestricted right to work in the UK, • The organisation does not provide visa sponsorship, either now or in the future, • This opportunity is offered on a permanent, direct?employment basis only (no contract?to?hire, umbrella, or third?party arrangements)Remuneration, • Base Salary: £75,000-£85,000 (Please note, final number within provided salary range will be dependent on transferable skills and requirements in alignment with the job description), • Oversee end?to?end payroll activities across several European countries, ensuring accuracy, timeliness, and adherence to local requirements, • Drive operational consistency following recent process and system updates, • Provide daily oversight and guidance to maintain strong controls, clear workflows, and reliable payroll execution, • Stay actively engaged in the operational details, including data validation, issue resolution, and country?specific nuances, • Investigate variances, address compliance risks, and implement corrective measures when needed, • Safeguard compliance with company-side policies and local employment, tax, and statutory rules, • Support internal and external audit requests through documentation, metrics, and ongoing governance, • Manage relationships with internal leadership or outsourced payroll providers, escalating and resolving issues as appropriate, • Work closely with HR and business partners to support employee changes, compensation events, and operational needs, • Lead and develop a geographically spread payroll team, building capability and a cohesive working environment, • Promote an environment of accountability, operational discipline, and continuous improvementQualifications, • 7+ years working in payroll, ideally including experience across several European or multi?country environments, • Background managing remote or distributed team members, • Direct hands-on processing experience for at least two countries, • Bachelor’s degree in business, finance, HR, or a related discipline, • Professional payroll qualification preferred (regional or global certifications welcome)Competencies & Skills, • Strong understanding of payroll legislation, statutory obligations, and operational nuances across Europe, • Able to operate as a working leader: comfortable shifting between detailed execution and strategic oversight, • Demonstrated ability to mentor and guide team members, • Experience partnering with outsourced providers or third?party service organizations, • Excellent attention to detail with the ability to troubleshoot and resolve complex issues, • Strong communication skills and comfort working across time zones and functions, • Familiarity with payroll technologies, integrations, and data standards, • Comfortable working in a dynamic environment with evolving processes and organizational structuresEqual Opportunity Employer Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries (“we,” “our,” or “Vaco by Highspring”) respects your privacy and are committed to providing transparent notice of our policies. • California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here., • Virginia residents may access our state specific policies here., • Residents of all other states may access our policies here., • Canadian residents may access our policies in English here and in French here., • the individual’s skill sets, experience and training;, • licensure and certification requirements;, • office location and other geographic considerations;

Senior Python Developer – Market Risk (Front Office / FRTB) We are seeking a Senior Python Developer to join our Front Office technology team supporting Market Risk and regulatory initiatives, including FRTB (Fundamental Review of the Trading Book). The role involves designing and delivering high-performance risk analytics, integrating trading data, and building scalable Python solutions used directly by traders, quants, and risk managers. Key Responsibilities • Develop and maintain Python-based applications supporting Front Office market risk analytics and reporting., • Build scalable solutions for FRTB calculations, risk aggregation, and regulatory reporting., • Work closely with traders, quants, and risk teams to translate business requirements into robust technical solutions., • Integrate trading, pricing, and market data into risk systems and analytics platforms., • Optimize performance for large-scale risk calculations and data processing., • Strong Python development experience in a financial services environment., • Solid understanding of Market Risk concepts (VaR, sensitivities, stress testing)., • Hands-on experience with FRTB frameworks and calculations., • Experience working with Front Office trading systems and stakeholders., • Strong knowledge of data processing, numerical libraries (e.g., NumPy, Pandas), and performance optimization., • Experience with distributed systems, APIs, and large financial datasets.

War Underwriting Assistant Location: London Salary: Competitive + excellent benefits Start: ASAP A leading specialist marine insurer is seeking a War Underwriting Assistant to join its high‑performing underwriting team. This is an outstanding opportunity for someone with strong analytical skills, exceptional attention to detail, and a calm, methodical approach to support underwriters operating in a complex and fast‑moving risk environment. This role is ideal for someone who enjoys processing work, data analysis, and supporting underwriting decisions, while building deep sector knowledge within the marine and war risks space. The Role Working closely with the underwriting team, you will provide essential support across day‑to‑day underwriting activity, including: • Assisting underwriters with data gathering, processing and policy administration, • Reviewing and inputting risk information with accuracy and consistency, • Supporting rating, pricing and documentation preparation, • Monitoring accounts, updating internal systems, and tracking renewals, • Producing reports and analytics to assist with underwriting decisions, • Liaising with brokers and internal stakeholders in a professional, timely manner, • Ensuring compliance with internal processes and regulatory standards, • This position requires someone who remains calm under pressure, can manage detailed information efficiently, and takes pride in delivering highly accurate work. Candidate Profile We’re looking for a candidate who brings: • Strong analytical skills and a high level of numerical accuracy, • Excellent attention to detail and strong processing capability, • A calm, steady, solutions‑focused approach, • Strong organisational skills with the ability to prioritise complex workloads, • Confident communication skills with a professional manner, • A desire to learn and develop within marine and war risk underwriting)

Group Data Protection Officer (DPO) Sovereign AI | Taylor Root (Retained Search) Exclusive Recruiter: Tom Woods Sovereign AI is a UK‑based AI infrastructure and solutions provider building the next generation of sovereign‑grade AI data centres across EMEA. We operate where AI, cloud and critical infrastructure intersect, enabling commercial and government customers to deploy advanced AI with confidence in environments where performance, reliability, and compliance are non‑negotiable. Sectors include Government, Defence and Healthcare, where data sovereignty, privacy and trust are foundational. As the business continues to scale, we’re hiring a Group Data Protection Officer to lead a modern privacy programme across AI infrastructure, cloud platforms, and data centre operations embedding trust into the technology stack while enabling responsible innovation. It’s for a builder who thrives in fast‑moving environments comfortable translating complex regulation into clear, pragmatic guidance and standing up frameworks that scale, while working at start-up pace. This role will be 3 days a week in the Central London office (Fenchurch Street being the closest station). It is a role for someone commercially minded, decisive, and motivated to partner closely with Engineering, Infrastructure, Security, IT, and Commercial. The role reports to the Group General Counsel. The opportunity You’ll own the enterprise‑wide privacy framework, provide independent oversight of UK GDPR and general oversight of global privacy compliance, and help shape how Sovereign AI delivers responsible AI for regulated and sovereign environments. You’ll have the authority to escalate material risks and engage directly with senior leadership and regulators. What you’ll be doing • Leadership & governance — Own and oversee the group data protection framework across AI platforms and data centre operations., • AI & data governance — Advise on privacy in model development, training data and inference systems, aligned to emerging AI regulatory expectations., • Privacy by design — Embed by‑design/default principles into architecture and product lifecycles., • DPIAs & high‑risk processing — Lead assessments for large‑scale, sensitive or novel processing in sovereign/regulated contexts., • Sovereign data & localisation — Guide data residency, cross‑border transfers and EMEA sovereignty requirements., • Regulatory engagement — Act as primary contact for regulators (e.g., ICO); manage audits and investigations., • Incident & breach management — Oversee assessment, notification obligations and remediation., • Data subject rights at scale — Ensure robust DSAR processes across complex infrastructure environments., • Third‑party & ecosystem risk — Strengthen due diligence and contractual controls across vendors, partners and customers (including hyperscale/infrastructure relationships)., • Training & culture — Drive awareness and accountability through training, policy and leadership engagement. Process / how to apply Taylor Root and Tom Woods have partnered with Soveriegn AI, and are the exclusive recruiter for this position, running the full process end‑to‑end. If you’re interested, want a quick steer on fit or compensation before applying please reach out directly: .

PRODUCT OWNER Overview: This company provides a cloud-based data and analytics platform for financial institutions, enabling deeper insight into market activity and supporting trading and research functions. The platform helps firms access and work with large volumes of structured market data more efficiently, reducing the operational burden of sourcing and processing raw datasets. Key Responsibilities: • Own and manage the product backlog, including prioritising work, refining user stories, and working closely with stakeholders, • Act as the subject matter expert for your product area, with a strong understanding of APIs, workflows, and client use cases, • Turn complex client needs into clear, well-defined product requirements, epics, and user stories, • Work closely with engineering and data teams to clarify requirements, technical considerations, dependencies, and delivery plans, • Collaborate with commercial, customer success, and quant teams to understand client needs and market trends, • Contribute to product discovery through customer feedback, competitive insights, and roadmap planning. Skills and Experience Required: • Experience working with SaaS, platform or data product, • Strong understanding of Agile / Scrum methodologies, • Ability to communicate clearly with both technical and non-technical stakeholders, • Strong analytical mindset with attention to detail with exposure to modern data science platforms and tools (e.g. Snowflake, Databricks, cloud data warehouses, SQL, Python, Tableau, Power BI), • Comfortable working in a fast-growing, scale-up environment, • Result-oriented with high commitment, resilience and professionalism, • Experience with financial markets, trading, or market microstructure, • 3-7 years experience Reach out to me for more details on for more details.

Lead Data Engineer London (Hybrid) | Competitive Package up to £110k Xcede are supporting a tech-driven organisation embarking on a greenfield data platform build and are looking for a Lead Data Engineer to take ownership of architecture and delivery. This is a rare opportunity to define a modern data ecosystem from scratch, working closely with senior leadership to shape technical direction. Key Responsibilities • Lead the design and build of a greenfield data platform, • Architect scalable data pipelines and real-time processing systems, • Set engineering standards and best practices, • Mentor and guide a growing engineering team, • Work closely with stakeholders to translate requirements into technical solutions Key Requirements • Strong experience in data engineering and platform architecture, • Excellent Python development skills, • Deep experience with Databricks, • Experience building scalable cloud data solutions, • Proven ability to lead technical delivery in greenfield environments Package • Competitive salary (DOE), • Hybrid working (London), • Opportunity to shape a brand-new data platform

Our client is a well-respected International Metals Commodity Trading Company based in Central London. The end-to-end execution of trading contracts booked by traders, implementing all relevant administrative functions in line with company business policies, procedures & standards, and the conditions of individual contracts. Working hand-in-hand with the traders, trading managers, internal departments and external counterparties to successfully perform and conclude each transaction RESPONSIBILITIES: • Issuance of purchase and sales contracts using standard templates when traders book new transactions, and contract amendments during transaction life cycles where applicable, • Inputting details of all transactions on to the trading management software and keeping it up to date during the transaction life cycle, • Ensuring new counterparties are onboarded by the Compliance Team and performing timely sanctions screenings of ongoing counterparties and vessels using our software, • Working with the Trade Finance Team to arrange finance for each transaction and covering any foreign exchange exposure if applicable, • Working with the Traders to ensure the expected profitability reports for each trade are accurate and signed off as required, • Working with the Shipping & Logistics Team to ensure the timely and safe transportation of the goods from our supplier to our customer, or into our stock sites according to the applicable Incoterms, and working with Ports and Warehouses so they are aware of expected cargoes arriving and arrange timely discharge and storage, • Checking documentation received from suppliers and arranging payment of supplier invoices in line with our procedures, • Opening Letters of Credit on Supplier where applicable, • Nominating vessels to suppliers, customers or port agents and giving Bill of Lading and other documentary instructions to different parties, • Liaising with finance banks for cargo releases, • Receipting goods to stock and allocation of stock to customers on the computer system and giving instructions to ports & warehouse operators on which stock to load or deliver to each customer on which dates., • To check credit lines available to customers and raise invoices to customers, • Prepare documentation to be banked under sales-side Letters of Credit compliantly and in accordance with UCP600, • To review and arrange payment of all service provider invoices such as haulage, storage, inspection, etc, • To perform stock reconciliations and possibly to attend port or warehouse facilities to perform stock audits, • Data handling and reporting for internal purposes, • Raising credit and debit notes as required, • Registering and processing claims, working with the Traders and Insurance colleagues to ensure suitable and timely resolution of claims, • General administration as required, • Working with Accounts Dept to assist with month end and audit processes, • Any other tasks as reasonably assigned KNOWLEDGE, QUALIFICATIONS AND SKILLS REQUIRED: • Minimum 3 years’ experience in a similar role, ideally at a commodity trading company, • Commercial understanding of international commodity trading, ideally with experience of metals, • Knowledge of Letters of Credit, UCP 600, Incoterms, basic contract formation principles and invoicing, • Strong Teamwork skills, • Full fluency of English (both written and oral), with an additional language being an advantage but not a requirement, • Strong attention to detail, • Ability to juggle many tasks concurrently by prioritizing effectively, • Good customer service skills and an “up-beat do-er” who is able to work under their own steam, • Strong IT skills on Microsoft Office Suite, SAP experience would be useful but not essential

German Speaking, Customer Success Manager Mood, a private equity-backed company, is the world’s leading in-store media solutions company dedicated to elevating the Customer Experience. The Company creates greater emotional connections between brands and consumers through the right combination of sight, sound, scent, social and systems solutions. Mood reaches more than 150 million consumers each day through more than 500,000 subscriber locations in 100+ countries around the globe. Mood’s clients include businesses of all sizes and market sectors, from the world’s most recognized retailers and hotels to quick-service restaurants, local banks and thousands of small businesses. For more information, visit: ___ The Customer Success Manager is a client-facing position within our Sales Enablement team, under the Operations department, and closely aligned with our Account Management team. The Customer Success Manager is responsible for partnering with assigned Account Managers to support the overall account relationship, with a focus on client satisfaction. The Customer Success Manager will act as a liaison to resolve billing or operational issues with the client as well as provide excellent customer service to their assigned account base. Responsibilities include but are not limited to gathering systems data and providing in a report format, assisting in order submission, locating client agreements and other documents, updating various systems as needed, and fielding general questions. Responsibilities: • Support pursuit of growth targets and retention goals., • Participate in regularly scheduled meetings with assigned Account Manager’s and clients as needed and required by assigned portfolio., • Prepare and provide, or present data specific to areas of responsibility for assigned accounts during scheduled client calls, or as needed. The responsibility for this will vary and will be dependent on if you are participating in the client call or simply presenting the data to the AM to present., • Manage and resolve conflicts as they arise with clients, and escalate service related issues to direct Manager as needed for visibility., • Track client service issues to ensure completion., • Management of client brand standards either in the CDR (Oracle EBS Client Data Repository) or Brand Guidelines (Salesforce)., • Client research and ad-hoc reporting. Track status of product demos and pilots. Complete administrative functions that improve overall customer satisfaction – CSAT reporting, Store Closures, Connectivity reporting, AR research, Credit processing and special projects., • Ensure client satisfaction with Mood and our products/services by determining client satisfaction, and modifying account support as needed to reflect business objectives. Act as a liaison between assigned client base and Mood service departments. Interface with Creative Services, Engineered Systems, Customer Service, Operations and Finance to ensure customer satisfaction., • Obtain approvals from internal department or affiliates on behalf of the Account Managers for (Deposit waivers, cross territorial approvals, billing credits, rush installations). Maintain account integrity and ensure account accuracy in multiple databases and systems., • Help initiate and route requests when necessary from Account Management to appropriate internal teams (Store closures, quote and design requests, billing changes, re-contracts, etc). Required Qualifications: • College degree preferred and 1-2 years of Project Management work experience or equivalent combination of education and experience required, • Prior experience with inside sales and sales processes preferred, • Strong working knowledge of client problem solving and coordination of account management, • Must speak native/bilingual German, • Ability to prioritize projects and manage multiple task assignments concurrently, • Experience working with difficult customers and strong conflict resolution skills, • Strong communication skills required, both written and verbal, which include the ability to communicate with tact and professionalism, • Proficient in MS Office (Excel, and Word); working knowledge and usage of Oracle and Oracle Sales Cloud, or Salesforce is a plus, • Excellent listening skills, • Excellent customer service and relationship building skills, • Ability to manage time and stay on task to meet deadlines, • Rapidly responds to inbound (internal and external) communication, • Demonstrate follow through skills on internal and external requests, • Ability to work independently, using resources with little direction in a fast-paced environment, • Must have strong interpersonal, organizational and administrative skills, and be able to effectively communicate with others, • Mood Media business knowledge, understanding and/or working experience preferred