We are a defence-tech startup from London that specializes in technologies that can analyze social data with the power of AI and psychology to generate insights and intelligence that were not possible before. The company was founded on the premise that data can be used for social good and with our technology, we are building the capability … currently focussing on a variety of key projects within Defence as we see tremendous possibility to impact operational planning within the sector. As a company handling heavy and critical data, we believe this is a perfect time for a Machine Learning Engineer to join our team. Who are we looking for? We are looking for a Machine Learning Engineer … state-of-the-art techniques and frameworks Stay up-to-date with the latest advancements in NLP and machine learning, and apply new methodologies to improve existing models Deploy datascience models on scalable AWS cloud infrastructures, ensuring best practices for security and performance Assist in Infrastructure as Code initiatives using Terraform Write clean, maintainable Python code for More ❯
Head of Data Engineering & Governance Investment & Wealth Management Hybrid (3 days at home with 2 days traveling in the UK) £120k - £140k basic (DOE) + bonus (10-25%) and benefits (pension, life insurance, healthcare, holidays, & more). “Money makes the world go round,” they say. Maybe it did back in the early 1900s when our client began to focus … solely on wealth management. But now? It’s data. This company – a trusted name in the UK financial services sector – fully recognise this. They understand that embracing data and AI is what will continue to position them at the forefront of the UK’s investment management sector. This isn’t a dalliance with data. It’s a firm commitment. … no debate about the direction, fighting for investment or dragging people with you. Now, following a recent acquisition, they’re ready to embark on the next phase – transforming the data and harnessing its power. And that’s where you come in. Where you fit in As one of three new leaders in the newly established Group Data function More ❯
This position is responsible for leading and managing a small team of Computational Scientists. The team supports pharmaceutical development programs, clients, and academic/regulatory collaborations through modelling, statistics, datascience, and software development activities. JOB DETAILS/RESPONSIBILITIES Job descriptions reflect approximately 85% of the responsibilities and are not exhaustive. Other activities within reasonable scope of the … of client and internal research and development projects in the field of computational pharmaceutics. Act as the primary point of contact for problem solving related to computational pharmaceutics (including data analysis, statistics, and physiologically based pharmacokinetic modelling). Author and review computational reports for scientific and technical accuracy, and review reports from other teams within your area of expertise. … values and leadership principles. Engage proactively with Environment, Health, Safety and Sustainability policies to ensure a safe working environment. Comply with quality policies to deliver consistent, high-quality work, data, and reports. Read and understand assigned Standard Operating Procedures (SOPs) within specified timeframes. Maintain up-to-date training records and submit for regular review. Submit timesheets, expense claims, and More ❯
building tools or automation scripts Familiarity with AWS and its tools Excellent communication skills and a collaborative mindset Nice to have: Experience with AI/ML infrastructure or supporting datascience workflows Exposure to MLOps tooling or machine learning model deployment More ❯
Technical Project Manager (TPM) to lead high-impact, compliance-focused projects within our services team. The TPM will drive end-to-end delivery of initiatives centered around Microsoft Purview, Data Loss Prevention (DLP), Machine Learning Platform (MPIP), Microsoft Copilot, and Records Management. This role is a critical contributor to delivering secure, automated, and compliant digital environments for several projects. … Key Responsibilities Lead and manage cross-functional technical projects with a focus on data governance, security, and compliance. Define project scope, deliverables, and success metrics aligned with business objectives. Own project plans, including timelines, budgets, risk management, and resource allocation. Collaborate with engineers, data scientists, compliance officers, and security specialists. Ensure consistent adherence to data protection and … sensitivity labels and auto-classification to protect sensitive information. Maintain transparent stakeholder communication and provide executive updates. Technical Skills & Experience Required Expert-level knowledge of Microsoft Purview and its data governance capabilities. Hands-on experience implementing DLP policies within Microsoft 365 environments. Proficiency with MPIPand Microsoft Copilot for intelligent automation and workflow enhancement. Strong understanding of Records Management, retention More ❯
required that you have a strong technical background. You will have demonstrated examples of working closely with technical and operational teams such as software developers, researchers, security analysts, SREs, Data scientists and mobile engineering teams, having a background in software assurance is highly desirable. A strong drive, sense of ownership and ability to work autonomously is required. You will … delivery teams. Engage and communicate calmly and professionally with project team members and peers and lead using influence. What You’ll Bring Bachelors or Master’s degree in Computer Science, Software Engineering, Cyber Security or related discipline. The ideal candidate will have 10 years of overall experience in the software industry with at least 8 years as a program More ❯
and Europe Operations Team, this role will report into Operations Lead UK and Europe. You will work alongside the Sales & Distribution, Technology, Finance and Outsourced Operations teams to manage data onboarding, premium and cash management of speciality underwriters within Europe and UK, at Accelerant we call them members. In this role you will build relationships and intimate knowledge of … our Members data, technology and processes and will be the point contact on all data queries, problems and solutions. You will work alongside our members to assist them in the analysis and resolution of data quality issues that impact data ingestion, regulatory compliance, and reporting, utilising your knowledge and experience of the applicable data standards. … Your role will contribute to the overall success of the Operations function who are charged with transforming our data processes to deliver governed, timely and high-fidelity data sources. Key Responsibilities Member Onboarding Manage the operational due diligence and onboarding procedures for new Members and Business expansions Responsible for coordination and management of the Bank accounts, systems, and More ❯
About Accelerant Accelerant connects selected specialty insurance underwriters ("Members") with risk capital partners through its data-driven risk exchange (the “Risk Exchange”). The Company, together with its risk capital partners, provide property and casualty insurance to policyholders via its network of Members, which are typically Managing General Agents ("MGAs"). The Company focuses on small-to-medium sized … owned MGAs. Serve as a resource for MGA finance teams on US GAAP accounting treatment, controls, and system usage. Partner with the finance systems team to improve efficiency and data quality across the close process. Team Leadership & Support Provide mentorship and oversight to small, local finance teams at the MGA level. Act as a hands-on partner, assisting with … relationships. Travel could be a small part of your role, with opportunities to connect with your team and our Members in-person. About Accelerant Accelerant is a services and data platform for the specialty insurance market. Our mission is to align incentives across the ecosystem. Our Risk Exchange harnesses advanced data analytics and AI to reduce information asymmetries More ❯
re looking for a Legal AI Engineer who’s passionate about building intelligent systems at the intersection of law and machine learning. You’ll work closely with legal experts, data scientists, and product managers to develop AI features that tackle real legal challenges through the use of agentic GenAI. As Legal AI Engineer you will: Design and implement AI … from unstructured legal data. Collaborate with legal SMEs to translate domain knowledge into scalable machine learning solutions. Continuously evaluate model performance, ensuring accuracy, fairness, and compliance. Help shape the data pipeline and MLOps practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face, TensorFlow/PyTorch). More ❯
build a top-tier engineering organisation from the ground up. What you’ll own Tech vision & roadmap – Translate product goals into a clear architecture from MVP to full platform. Data collection at scale – Design compliant pipelines that pull from X/Twitter, Meta, Reddit, YouTube and third-party sources. Infrastructure & ML – Deliver real-time + batch processing, embedding AI … models directly into production. Social-media intelligence – Craft novel metrics for hidden-influencer detection, bridge mapping and predictive analytics. Team leadership – Hire, mentor and inspire a lean group of data scientists & engineers. What you’ll bring 5+ years’ senior engineering leadership in SaaS, data or analytics scale-ups. Deep experience with API data ingestion, distributed systems and … ML in production. Full-stack fluency and a track record of shipping 0→1 products in fast-moving environments. Bonus: graph AI/network-science expertise, prior social-media analytics background, start-up scaling experience. Why join? Green-field ownership, genuine technical challenge, and the chance to shape a category-defining product—while recruiting the team that makes it More ❯
