Mathematics jobs in United Kingdom - Page 2

🚀 Job Opportunity: Senior C# Quantitative Developer | Capital Markets Technology Location: London Type: Full-time / Contract Rate: £800 p/d (Outside IR35) Client: Leading Global Investment Bank Hybrid: 1 day per week in the office Are you ready to be at the forefront of technology and finance? Our client, a top-tier investment bank, is looking for a Senior C# Quantitative Developer to join their high-impact Capital Markets Technology team in London. This is a unique opportunity to bridge the worlds of quantitative analysis and software engineering—delivering cutting-edge solutions to drive pricing, risk management, and liquidity strategies in real-time trading environments. 🔍 About the Role As a Senior Quantitative Developer, you’ll collaborate closely with quantitative analysts, traders, and fellow technologists to develop and optimize core components of the bank’s pricing and risk infrastructure. You'll be responsible for translating complex financial models into high-performance, production-ready systems—driving both innovation and stability in capital markets technology. 💼 Key Responsibilities 1. Development & Optimization • Implement decomposition logic for structured products including funding, fees, and charges., • Integrate and refine pricing and risk models for real-time trading environments., • Develop rules-based liquidity management for quoted underlyings., • Enhance back testing, data analytics, and regression infrastructure., • Build and maintain low-latency, high-throughput systems. 2. Cross-functional Collaboration • Work side-by-side with quants and traders to productionize mathematical algorithms., • Partner with infrastructure and DevOps teams to scale and deploy applications effectively. 3. System Monitoring & Support • Ensure reliability and performance of live systems through proactive monitoring., • Provide occasional on-call support to maintain system uptime and stability. 🎓 Qualifications Required: • Degree in Computer Science, Engineering, Mathematics, Physics, or similar., • 10+ years of hands-on development experience in C# / .NET., • Solid grasp of financial instruments (equities, derivatives, fixed income, FX, commodities)., • Proven experience building scalable, multi-threaded systems., • Proficiency with SQL Server, MongoDB, and Git., • Background in front-office environments within an investment bank, hedge fund, or fintech firm. Preferred: • MSc or PhD in a quantitative discipline., • Experience with structured products, particularly structured notes. 🌟 What We’re Looking For • A critical thinker with outstanding analytical and problem-solving abilities., • A team player who thrives in high-pressure, dynamic environments., • Excellent communicator with a proactive, collaborative mindset., • A self-starter who takes ownership and consistently drives results. This is a highly visible role with significant impact, offering the chance to work on complex financial instruments and contribute directly to the bank’s trading strategies and platform evolution. If you're passionate about finance and engineering and want to work alongside some of the best minds in the industry—we want to hear from you. Apply now to learn more.

About PRODA At PRODA () we are building software to unlock the full potential of Real Estate Data no matter the asset class, language, or country of origin. Our solution leverages the latest technologies to automatically capture, standardise and quality check Real Estate data into a single, clean source of truth. The goal is to empower real estate professionals to quickly gain actionable insights from their data and to enable the effective use of software. Despite being the biggest asset class in the world, the commercial real estate industry relies on excel & PDF “Rent Roll” documents as the primary means of exchanging data. These files are frequently inconsistent, inaccurate, and inaccessible, posing challenges for real estate professionals. Through automated data capture, standardisation, and analysis, PRODA can: · Build repositories of clean, standardised data · Increase process efficiency, through faster report generation · Improve data-driven decision making, by ensuring the accuracy of input data Furthermore, PRODA easily integrates with existing systems, to ensure consistent dataflow through the whole organisation. Founded in 2017 by Charles and Peter, two former Real Estate Finance Investment professionals, PRODA is now 66 people strong, and is looking to expand rapidly following a successful Series A raise in Q2 2022. PRODA has a strong globally recognised client base with an even better sales pipeline. We are looking for you to join us on our exciting journey delivering best-in-class software to the Commercial Real Estate market globally. Role We are looking for a Software Engineer to join the team at PRODA that works on the automatic extraction, classification, standardisation and validation of financial data documents in commercial real estate. We encourage candidates of all experience levels to apply, including recent graduates and those with several years of relevant work experience. Responsibilities • Develop flows for extraction of data from financial documents in PDF and Excel formats., • Work with a generalised data model, and a process to convert extracted data into that using standardisation and validation steps., • Drive the development of automation with a focus on enhancing speed, accuracy, and applicability., • Stay abreast with emerging technologies and industry trends in financial data reporting and requirements of clients., • Clearly and concisely communicate findings and recommendations to both technical and non-technical stakeholders. Required Skills & Qualifications • Bachelor’s degree in computer science, mathematics, physics or another relevant STEM discipline., • Proven experience in solving complex problems, ideally in data extraction and modelling., • Comfortable solving problems at every level, from algorithms and data structures to system design., • Expertise in Python., • Experience of full-stack development., • Ability to work independently as well as part of a collaborative team., • Strong project management skills with the ability to meet deadlines. Preferred Skills & Qualifications • Experience with TypeScript and React., • Experience with cloud platforms. What We Offer • Opportunity to learn and grow in a fast-paced, cutting-edge environment., • Access to the latest technology and tools to make you productive, including the latest MacBooks, along with AI tooling., • A supportive environment with a focus on professional development and growth., • A culture that values simplicity and efficiency in solving problems and delivering solutions. Working at PRODA As a rapidly growing SaaS business, life at PRODA is fast-paced and collaborative. Our day-to-day work is solving interesting problems using smart technologies, and we pride ourselves on an environment where we can rapidly develop new skills, learn from each other, and truly see the impact of our work. We believe that our product is transformative, and we work hard to ensure it reaches its potential. Our team is our greatest asset: we are a close-knit group who pull together to achieve our goals, but we also have fun! Further to a strong team environment, working at PRODA offers the following amenities: • Flexible Hybrid working options, • Stock Options in the Business, • 25 days base holiday, • Full zero-excess Private Health & Dental Insurance, Includes Couple and Family plans, • Generous Pension Schemes, • Opportunities for Professional Development + Learning Sessions PRODA treats people fairly. We are an equal opportunities employer and view all applications equally, regardless of gender, colour, ethnic background, religion, disability, age, sexual orientation, gender reassignment or marital/family status.

Quant Developer - Equities Location: London or Dubai Permanent Our client are a market leading hedge fund, with a global reach in relation to their clients and offices. They are on the lookout for a talented Quant Developer with exceptional skills in python programming, and solid experience on equities focused projects Responsibilities for an Equity Derivatives Quant: • Core Trading Engine Development: Build, maintain, and enhance the core trading engine to support optimal performance., • Systematic Trade Automations: Create and implement automated trading systems to improve efficiency and drive results., • Collaborative Innovation: Partner with traders, researchers, and developers to understand needs and deliver tailored solutions. Requirements for an Equity Derivatives Quant: • Educational Background: Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering, or a related field, • Extensive knowledge surrounding equities asset class, • At least 2 years experience within the financial services industry, • Hands on experience with object orientated programming, using Python, • Strong communication skills and confidence in working within a collaborative team environment. To hear more details please apply to this position or contact Ben Mortimore at Anson McCade. Job Reference: AMC/BMO/QD01

Data Analyst - SQL, Python, R, BigQuery OB are partnered with an industry leader in the AdTech space, who are expanding their Data function, and are looking for a highly skilled Data Analyst, with experience working on huge sets of Data to join their team. In this role, you will analyse large data sets with millions of Data points, translating this into action-ready insights for both internal and external stakeholders, whilst collaborating with Product, Engineering & Sales teams. Data Analyst - SQL, Python, R, BigQuery Key skills and experience: 3+ years of experience as a Data Analyst Strong experience with SQL & Python or R BigQuery experience (bonus but not essential) Strong academic background in Mathematics, Statistics or a related field You must have industry experience working at a company focused on data products, audience measurement or market research Pays up to £50k + equity package on top 2-days a week in a Central London office 3-stage interview process! To be considered, you must be UK based and sadly sponsorship isn't available. Data Analyst - SQL, Python, R, BigQuery

Senior AI Engineer, London (Hybrid, 2–3 Days Onsite) Up to £125,000 + 20% Bonus We’re partnered with a leading consumer wellness and fitness business with a large international footprint and a rapidly growing digital ecosystem. They operate at scale, serving millions of members through both physical locations and technology-driven services. The business is investing heavily in data, AI, and modern engineering practices to reshape how customers engage with health and wellbeing products. They are now looking for a Senior AI Engineer to join their growing AI function and play a central role in developing intelligent systems and advanced AI agents. This is a fantastic opportunity to influence AI strategy while remaining hands-on in building production-grade solutions that will directly impact millions of users. What You’ll Work On • Designing, building, and deploying AI agents and intelligent automation systems., • Developing end-to-end AI features that integrate seamlessly into customer-facing digital products., • Collaborating closely with data scientists, engineers, product teams, and domain experts., • Experimenting with advanced LLMs, vector search, orchestration frameworks, and retrieval pipelines., • Contributing to architectural decisions and helping shape the organisation’s long-term AI roadmap. What They're Looking For • Strong commercial experience building and deploying AI agents., • Experience within B2C environments is highly advantageous (digital products, consumer platforms, apps, etc.)., • A background in Data Science, Mathematics, Physics, or similar quantitative fields is beneficial., • Excellent engineering fundamentals with hands-on skills in Python and modern AI tooling., • Strong problem-solving ability and a genuine passion for cutting-edge AI innovation. Salary up to £125,000 Up to 20% annual bonus Hybrid working in London (2–3 days onsite per week) The chance to join a forward-thinking organisation investing heavily in AI If you're interested in this then please apply or email

Machine Learning Engineer | Python | Pytorch | Natural Language Processing | LLM | Large Language Models | Remote, Europe About Us We build AI assistants that make technical knowledge instantly accessible. As a research engineer, you will work on advancing our system’s ability to answer increasingly complex technical questions. Our technology is already deployed on real-world developer documentation, where users can query information directly through an integrated AI assistant. The Challenges You’ll Work On • Evaluating a retrieval-augmented-generation (RAG) system in production without labelled data, • Designing your own benchmarks from scratch, • Building an agentic retrieval pipeline that adapts between fast and more thorough query strategies, • Fine-tuning embeddings or reranking models What You’ll Do • Collaborate closely with the core team and software engineers, • Stay up-to-date with the latest research and apply new ideas to real product challenges, • Design, run and analyse experiments to push system performance You Might Be a Great Fit If You Have • A Master's or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or a related field, • Strong knowledge of machine learning, deep learning (including LLMs), and natural language processing, • Hands-on experience training, fine-tuning, and deploying LLMs, • Experience working with vector databases, search indices, or data stores for retrieval use cases, • Significant experience building evaluation systems for search or language models, • Familiarity with information retrieval techniques (e.g., lexical search, dense vector search), • Comfort working in a fast-moving environment with ambiguous problem spaces, • A desire to learn more about ML research Please note that this position is fully remote in Europe but you MUST have the right to work in your country of residence. Machine Learning Engineer | Python | Pytorch | Natural Language Processing | LLM | Large Language Models | Remote, Europe

Endur Trading Business Analyst Salary: £60,000 - £75,000 + 10% Bonus Location: London (with ad hoc travel) About the Role We're seeking an experienced Trading Business Analyst to support energy and commodities trading firms in optimizing the Endur trading platform. You'll work closely with traders, risk managers, and IT teams to enhance the efficiency and effectiveness of the platform in trading, risk management, and back-office operations. Key Responsibilities • Analyze business requirements, • Configure Endur functionalities and identify system improvements, • Troubleshoot issues related to trading workflows, • Ensure data integrity and facilitate user training, • Generate and present reports to key stakeholders Essential Requirements Business Analysis / Project Delivery Experience • Proven experience in end-to-end project delivery and business analysis, • Strong BA experience including capturing business problems, value drivers, and functional/non-functional requirements, • Experience running workshops and user acceptance testing, • Strong stakeholder management skills, • Experience working in Agile project delivery Energy Trading & Endur Experience Experience of energy trading markets, with a strong understanding of one of the following markets: • UK & European Power, • UK & European Gas, • Environmental products Working knowledge of different trading instruments, including: • OTC transactions (forwards, swaps, and simple options), • Exchange traded futures & options lifecycle including cascading In-depth knowledge of at least one of the following functional areas: • Trade capture - complex deal modelling and pricing, • Market Risk and risk Valuation, • Back-Office processes, • Accounting processes, • EOD, • Migrating between ETRM systems, • Proficient with OpenLink Endur Base configurations/Reference Data configurations and good understanding of the various managers in the tool, • Endur configuration for Deal lifecycle, Confirmations, Settlement invoicing, and scheduling, • Experience establishing and delivering progressively larger and more complex projects/services, • Domain knowledge and skills in ETRM - mainly Endur (v18 or beyond), • Knowledge of energy trading and risk management (ETRM) Front Office and Operations business processes, • Knowledge of the energy/commodity trading business (Power, Emissions, Gas, Commodities), • Prior experience of Endur covering end-to-end trade lifecycle processes with knowledge on technical aspects of integrating with other ETRM systems, • Experience of financial concepts: P&L, MTM, Financial Risk, Financial Instruments (derivatives traded products), settlements, • Strong organisational skills managing multiple workstreams and competing priorities simultaneously, • Experience of line managing resources and project managing teams, • Experience leading projects embracing Cloud Technologies (e.g. AWS, Azure, GCP), • Experience using different delivery methodologies: Agile (Scrum, Kanban) and Waterfall Education and Qualifications • Bachelor's or Master's degree or equivalent, • STEM (science, technology, engineering, mathematics) majors preferred but not essential

AI Engineer, London (Hybrid, 2–3 Days Onsite) Up to £100,000 + 20% Bonus We’re partnered with a leading consumer wellness and fitness business with a large international footprint and a rapidly growing digital ecosystem. They operate at scale, serving millions of members through both physical locations and technology-driven services. The business is investing heavily in data, AI, and modern engineering practices to reshape how customers engage with health and wellbeing products. They are now looking for an AI Engineer to join their growing AI function and play a central role in developing intelligent systems and advanced AI agents. This is a fantastic opportunity to influence AI strategy while remaining hands-on in building production-grade solutions that will directly impact millions of users. What You’ll Work On • Designing, building, and deploying AI agents and intelligent automation systems., • Developing end-to-end AI features that integrate seamlessly into customer-facing digital products., • Collaborating closely with data scientists, engineers, product teams, and domain experts., • Experimenting with advanced LLMs, vector search, orchestration frameworks, and retrieval pipelines., • Contributing to architectural decisions and helping shape the organisation’s long-term AI roadmap. What They're Looking For • Strong commercial experience building and deploying AI agents., • Experience within B2C environments is highly advantageous (digital products, consumer platforms, apps, etc.)., • A background in Data Science, Mathematics, Physics, or similar quantitative fields is beneficial., • Excellent engineering fundamentals with hands-on skills in Python and modern AI tooling., • Strong problem-solving ability and a genuine passion for cutting-edge AI innovation. Salary up to £100,000 Up to 20% annual bonus Hybrid working in London (2–3 days onsite per week) The chance to join a forward-thinking organisation investing heavily in AI If you're interested in this then please apply or email

Software Engineer - 1-2 years experience Up to £55k Hybrid working in London (3 days p/week) Would you like the opportunity to work for a fast-growing start-up, currently looking for several Fullstack Software Engineers? You will be joining a dynamic product team, where you will be building great software and diving into the world of AI. The company is committed to providing a seamless experience for both customers and internal teams. This opportunity is suitable for Software Engineers with 12-24 months experience. As a Software Engineer, you will be working across their stack using TypeScript, React, Next.js, Node.js and AWS. Core requirements: • Commercial experience with their stack TypeScript, React, Next.js and Node.js. Happy to consider fresh graduates with GitHub projects., • AWS infrastructure., • Engineering or mathematics background, 1st class degree preferred If you’re a Fullstack Engineer who enjoys the idea of working in a fast-paced start-up, please apply.

Our client is a leading Global Hedge Fund who are looking to hire a Generative AI Lead to join their London Office. You will work closely with both investment and business teams, designing and building Generative AI solutions and products tailored to their needs. Delivering Investment solutions, improving overall operational efficiency and process improvement across the business. Responsibilities • Designing Generative AI Proof of Concept., • Contribute to AI infrastructure, • Building reliable, scalable, and flexible systems., • Influence Opinion and decision-making across AI and ML Skills • Python, • SQL / Pandas/ Snowflake / Elasticsearch, • Docker / Kubernetes, • Airflow / Spark, • Familiarity with GenAI models/libraries Requirements • 3+ years of relevant software engineering experience post-graduation, • A degree (ideally a Master’s) in Computer Science, Physics, Mathematics, or any other quantitative discipline, • Knowledge of Finance is not essential

Senior Data Engineer £75,000 – £100,000 + bonus London (1–2 days per fortnight in office) Troi Search has partnered with a mission-driven healthtech company as they build out a new engineering pod. The organisation focuses on improving clinical workflows and driving better patient outcomes through connected systems, data, and intelligent digital tools. Its platform is used by healthcare providers globally and continues to expand rapidly. Position Overview As the company grows, it is seeking a Senior Data Engineer to play a key role in developing and scaling its data platform. Data underpins the organisation’s analytics, product development, and machine-learning capabilities. The role involves designing reliable, secure, and scalable systems that enable teams across the business and healthcare partners to derive value from high-quality data while ensuring compliance with healthcare and data-protection standards. Responsibilities Reporting to their UK-based Data Engineering Lead, the Senior Data Engineer will: • Design and evolve scalable data architectures that meet performance and reliability goals., • Build and orchestrate batch and real-time data pipelines., • Lead data modelling, cataloguing, and documentation efforts., • Optimise performance across data tools and technologies., • Implement automated testing, anomaly detection, and validation frameworks., • Support monitoring, observability, and incident-response processes., • Ensure strong data governance, including access controls, encryption, and anonymisation., • Manage cloud infrastructure through infrastructure-as-code tools., • Collaborate with Data Scientists, Analysts, Product teams, and other stakeholders., • Contribute to customer-facing data products, APIs, and analytics features., • Mentor junior engineers and help drive engineering best practices. Requirements • Bachelor’s degree in Computer Science, Mathematics, or related field (or equivalent experience)., • c.5+ years' experience as a Data Engineer, ideally with cloud-based data platforms (ideally AWS)., • Strong desire for individuals who've worked in data sensitive fields - Healthcare / GDPR compliance / HIPAA compliance / Regulation, • Strong experience with data lakes, warehouses, and real-time data systems., • Practical experience with cloud services such as storage, compute, orchestration, and serverless tools., • Proficiency in Python and SQL., • Ability to work collaboratively in an agile environment. Desirable Skills • Cloud certifications (ideally AWS but still interested if GCP/Azure)., • Experience with data visualisation tools., • Experience with CI/CD, testing, and monitoring for data workflows., • Familiarity with third-party APIs., • Experience with modern data stack tools (e.g., dbt, Snowflake, Databricks)., • Experience with orchestration tools (e.g., Airflow)., • Experience building REST or GraphQL APIs. Why Work Here? • Meaningful mission in the healthtech sector, • Opportunities for ownership, growth, and increased responsibility, • Values-driven culture focused on trust, outcomes, and continuous improvement, • Generous annual leave and wellbeing benefits, • “Summer Fridays” early finishes during certain months, • Annual bonus scheme, • £1,000 annual professional-development stipend, • Flexible working hours, • Flat organisational structure with space for innovation Sound like you? Apply now!

Gravitas Group is Hiring: Underwriting Data Analyst Location: London (Hybrid) Employment Type: Permanent Industry: Insurance Salary: Up to £60,000 pa + Benefits Gravitas Group is recruiting on behalf of a leading insurance organisation for an Underwriting Data Analyst. This is a fantastic opportunity for a data-driven professional to play a key role in shaping underwriting and portfolio management decisions through high-impact reporting and dashboard development. About the Role As an Underwriting Data Analyst, you’ll be responsible for developing and managing reporting tools that enable stakeholders to assess underwriting performance. Your work will directly support leadership, underwriting franchises, and central functions in making informed, data-led decisions. Key Responsibilities • Develop new underwriting dashboards for leadership and key stakeholders, • Maintain and enhance existing dashboards to ensure accuracy and relevance, • Own documentation for dashboard development, data sources, quality checks, and publishing processes, • Manage and automate dashboard quality control (QC) processes, • Make approved changes to internal databases to support dashboard development, following governance protocols, • Automate recurring outputs for portfolio management, including board-level reporting, • Maintain and prioritise the Portfolio Management team’s project pipeline, • Represent the team in IT and BI prioritisation forums to ensure strategic alignment Skills & Experience • Strong problem-solving skills, • Proven experience with SQL, Power BI, and Microsoft Excel, • Excellent communication skills, with the ability to simplify complex analytics for senior stakeholders, • Bachelor’s degree in a quantitative field (e.g., Computer Science, Data Analytics, Mathematics), • Experience in the insurance or Lloyd’s market, • Familiarity with IT change control processes, • Master’s or PhD in a quantitative discipline (preferred) What’s on Offer • A chance to work with a forward-thinking insurance organisation, • Direct exposure to senior leadership and strategic decision-making, • A collaborative, data-driven team environment focused on innovation and automation

We are looking for a highly motivated & capable candidate to join our UK and EU operations team. This role is ideal for someone with strong analytical skills who can break down complex operational processes, ensure compliance with energy regulatory frameworks, and drive process optimisation and synergy across operational teams. You will work closely with the wider operations team to deliver operational improvements, analyse performance data, and support regulatory and commercial reporting across our energy and flexibility portfolios. Company Description Oaktree Power is a leading London-based climate tech start-up that works closely with global grid operators towards the goal of enabling an ongoing transition towards a fully sustainable electricity system of the future. We partner with commercial and industrial clients to integrate advanced technology for the purpose of reducing energy consumption and CO2 emissions. Our mission leads us to strategically empower clients to work towards a long-term goal of sustainability by taking full advantage of net-zero opportunities. Role Description OakTree Power is looking for someone who has an interest in the energy and renewable sector, particularly in sustainability and net-zero goals. With a minimum of five years’ experience in flexibility markets, including DSO tenders and balancing services, the role will support the execution of OakTree Power’s energy strategy through data-driven insights, operational analysis, and cross-functional collaboration. Strong communication skills are essential, as the role will work closely with internal teams, clients, and external stakeholders to translate complex data and market requirements into clear, actionable outcomes. Job Responsibilities: • Analyse operational and energy data across client portfolios to identify trends, anomalies, and opportunities for optimisation., • Ensure compliance with energy regulatory bodies (e.g., Ofgem, EU energy regulators) and operational requirements for demand flexibility programmes., • Support the development and implementation of operational strategies to improve efficiency, reliability, and regulatory compliance across UK and EU operations., • Strengthen process alignment and synergy between operational teams, data systems, and business functions., • Collaborate with internal stakeholders to understand strategic and operational priorities, providing analytical and compliance support., • Continuously review operational and compliance performance to provide insights, identify improvements, and embed best practices., • Produce clear, accurate, and insightful reports on operational performance, exposures, risks, and compliance, presenting findings effectively to drive decision-making., • Contribute to cross-functional projects supporting the scaling of OakTree Power’s operations across the UK and EU., • Experience collaborating with Development teams to ensure solutions devised meet the needs of the business/clients, • Support the Project Managers as required by feeding into the projects and business readiness plans, • Complete administrative duties Job Requirements and Skills Essential: • Bachelor’s degree in Engineering, Data Science, Mathematics, Physics, or Energy Management., • 3 - 5 years’ experience in operational support, data analysis, or energy/industrial sector roles., • Understanding of energy regulatory frameworks and operational compliance requirements., • Strong analytical and reporting skills, with proficiency in Excel and Power BI (or equivalent tools)., • Exposure to energy efficiency, demand flexibility, or multi-site operational environments., • Experience with SQL, Python, or workflow automation., • Familiarity with UK/EU energy market operations, capacity market rules, or DNO procedures., • Exceptional analytical ability and attention to detail., • Strong oral and written communication abilities, • Strong understanding of energy regulatory compliance and operational procedures., • Ability to translate complex data into actionable operational and compliance insights., • Process-oriented mindset, capable of identifying inefficiencies and driving improvement., • Collaborative and clear communicator with excellent stakeholder management skills., • Comfortable with complexity, ambiguity, and cross-functional problem-solving., • Proactive, curious, and motivated to learn and grow within the energy sector, • Proficiency in English + European languages Salary and Benefits: • Competitive salary, • 4 weeks' work anywhere, • Hybrid working (or remote, depending on role), • 25+8 holiday, • Quarterly team events, • Free breakfast every day in the office, • Office Happy Hours, • Dog-friendly office, • Life insurance + wellbeing support, • Cycle to work scheme

Quantitative Researcher – Sports betting Hedge Fund – London Job Summary Quantitative Researcher is required for a successful startup delivering innovative solutions to the sports betting industry. They capitalize on advanced statistical models and machine learning to interpret the complexities of sports, providing deep analytical insights. The successful candidate should have experience developing sports models used for prop trading. As Quantitative Analyst you will need: • 2 years’ experience as a quantitative researcher building models within sports betting industry., • A mathematics-based degree from a top university, • Expertise in Bayesian statistics, MCMC, and GLMs, • Knowledge of sports models literature, • Proficient in SQL and Python/R, • Experience on the slots casino side is benefitcial Responsibilities and Duties • Analysing, cleaning, and processing raw data, • Developing, improving, and maintaining ML and statistical models for risk management, • Analyse data and perform inferences to understand betting markets and customers behaviour The Opportunity • Opportunities to progress your quantitative developer career, • Working in GLMs, BMMs, Kalman filters, MCMC and the TrueSkill Ranking system

Software Engineer (Backend) – Java London, UK up to 100k + equity You’ll be joining a high-calibre engineering team building the backend systems that power a next-generation, AI-driven wealth management platform. This is a role for an engineer who wants meaningful ownership: designing distributed systems, building clean and scalable services, and shaping the architecture behind intelligent workflows handling billions in assets. If you enjoy greenfield work, solving complex engineering problems, and building high-performance backend services that are elegant, reliable, and built for scale, you’ll thrive here. What you’ll be doing • Building and maintaining scalable APIs and microservices at the core of the platform, • Designing and evolving distributed systems powering automation, integrations, and client operations, • Writing clean, maintainable Java (17/21) with strong emphasis on TDD, DDD, and CI/CD, • Leading greenfield feature development while also refining and improving existing systems, • Ensuring performance and reliability through robust monitoring and observability, • Collaborating with AI engineers, designers, and product teams to deliver impactful features, • Contributing to architectural decisions, code reviews, and technical planning What we’re looking for • 3+ years' experience building backend, high-performance, distributed systems, • Strong fluency in Java with deep understanding of backend architecture and design patterns, • Solid experience with microservices, APIs, and databases (PostgreSQL, Redis), • Strong foundation in computer science, mathematics, or related fields, • Comfortable working in cloud environments such as AWS, • Fast learner with a results-driven mindset and strong problem-solving ability, • Clear communicator who thrives in fast-paced, collaborative environments, • Fluent in English, • A right to work in the UK indefinitely without expiry., • Willingness to travel once a week to London office nice to have. What’s on offer • Work closely with a world-class founding team backed by leading global investors, • A high-growth, fast-moving environment where your work shapes the future of the platform, • Mission-driven engineering with real impact on the future of wealth management, • Competitive salary and benefits package, • Company equity, • 25 days annual leave Get in touch with Con Lam at Harrington Starr for more information

Backend Software Engineer – Python / FastAPI / Event Driven Architecture Location: London, UK (Hybrid) Type: Full-time Level: Mid to Senior Salary: £70,000 to £100,000 About the Role: This startup is building a cutting-edge platform to transform how engineers design physical products. Instead of creating one solution at a time, this system enables users to generate, visualise, and explore thousands of design alternatives. Faster and more intelligently than ever before. This company is a spin-out from one of the UK’s most successful startups, built by top-tier engineers and developers from industry leading teams. We’re looking for a software engineer who enjoys writing clean, functional code and is genuinely passionate about real-world engineering not just building software, but helping change how things are designed and built. Tech Stack within the engineering environment: • Backend: Python, FastAPI, Pydantic, PostgreSQL, Docker, • Infrastructure: GitHub Actions, GCP, Kubernetes (optional), • Paradigms: event-driven architecture Responsibilities • Build and maintain backend services using FastAPI and Python for geometry, simulation, and data workflows, • Work closely with domain experts (engineers, designers) to translate complex physical problems into usable software features, • Follow functional programming practices to write testable, composable code, • Own features from idea to implementation to deployment, • Contribute to architectural decisions in a fast-moving, early-stage product Requirements • Bachelor’s degree in Computer Science, Engineering, Physics, Mathematics, or a related technical field, • 2+ years of experience building web applications in a production environment, • Strong experience with Python and API frameworks (FastAPI, Flask, etc.), • Comfort or interest in functional programming principles and clean code architecture, • A genuine interest in engineering and the physical world, • Ability to thrive in a startup or agile environment with autonomy and ownership Backend Software Engineer – Python / FastAPI / Event Driven Architecture

SThree are pleased to announce that we’re recruiting for a talented Business Analyst to join our Strategic Portfolio, Delivery & Change function, based in our fantastic office space located in London or Glasgow on a full-time permanent basis. About the Role Join SThree as a Business Analyst and help shape the future of AI-driven transformation. In this pivotal role, you’ll bridge the gap between business needs and technical capabilities—designing, developing, and implementing innovative solutions that deliver measurable value. Acting as the critical link between stakeholders and technical teams, you’ll ensure projects are delivered with clear requirements, robust documentation, and actionable insights. If you have strong analytical skills, technical literacy, and a passion for turning complex systems into practical solutions, we want to hear from you. About Us SThree is the global STEM-specialist talent partner, connecting sought-after experts in life sciences, technology, engineering, and mathematics with innovative organisations worldwide. We’re passionate about delivering game-changing service and creating a culture where everyone belongs, is valued, and is connected. What You’ll Do • Act as the critical link between business stakeholders and technical teams., • Gather, analyse, and document requirements for both traditional and AI use cases., • Map workflows and produce clear technical documentation (BRDs, Functional Specs, User Stories)., • Evaluate systems, identify gaps, and recommend improvements., • Support change management and adoption strategies for AI solutions., • Ensure compliance with governance and regulatory standards., • Collaborate with cross-functional teams including Product Owners, Developers, AI Engineers, and Vendors., • Assist in defining test strategies, acceptance criteria, and defect triage., • Conduct investment analysis using ROI, cost-benefit, and other appraisal techniques. What We’re Looking For • Proven experience in Business Analysis frameworks (BPM, RICE, MOSCOW)., • Strong stakeholder management and communication skills., • Experience with Agile and Waterfall methodologies., • Working knowledge of Microsoft 365 and Atlassian tools (Jira, Confluence)., • Ability to translate technical concepts into business language., • Skilled in process modelling (Visio, Lucidchart) and producing structured documentation., • Exposure to AI, automation, and emerging technologies is highly desirable., • Professional Business Analysis qualification required; degree in a tech-related subject preferred. What’s In It For You • Hybrid working options for flexibility., • Bonus linked to company and personal performance., • 28 days holiday plus public holidays, with an annual leave purchase scheme., • Private healthcare, discounted dental insurance, and health cashback scheme., • Paid volunteering days and caregiver leave., • Access to retail discounts and our company share scheme. What we stand for... We’re committed to ensuring for our colleagues, candidates and communities that all processes are equitable, and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we’ll be happy to help.

Colt is the New Standard in high bandwidth network and voice services for enterprises and wholesale customers in Europe, Asia and North America’s largest business hubs. With a global reach but a deep local presence, Colt is big enough to deliver and small enough to care. Why we need this role? As the Lead - SOC Incident Manager, your role will encompass communicating cybersecurity incidents to key partners across the enterprise as well as being the main interface between the Colt business units and the cybersecurity groups. You will be the subject matter expert responsible for coordinating cyber security incidents across the enterprise. What you will do: You will play a key role within the SOC to manage incidents: • Lead and coordinate response efforts to cyber security incidents caused by internal and external threats to reduce the impact of these incidents to Colt and its customers., • Act as the bridge between the SOC incident responders, IT support teams and business groups to ensure a consistently execution of incident triage and remediation., • Build and manage cyber incident tabletop exercises to ensure Colt is prepared to deal with cybersecurity incidents., • Perform post incident analysis, identifying lessons learned throughout Fidelity with applicable teams for tactical and strategic remediation. What We're Looking For? • Bachelor’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, Business Administration, or a closely related field, • Solid understanding of common threats, penetration/intrusion techniques and attack vectors., • Lead under pressure and act as the command and control in managing critical cyber incidents. Experienced in handling cyber security incidents as well as other business or IT recovery incidents., • An ability to explain sophisticated topics to a varied audience of people who work in both IT and non-IT roles., • Proficient with commonly used incident response tools, logging, and SIEM technologies., • In-depth knowledge of and experience in security concepts such as cyber-attacks and techniques, risk management, incident management, threat management, etc. What We Offer You Looking to make a mark? At Colt, you’ll make a difference. Because around here, we empower people. We don’t tell you what to do. Instead, we employ people we trust, who come together across the globe to create intelligent solutions. Our global teams are full of ambitious, driven people, all working together towards one shared purpose: to put the power of the digital universe in the hands of our customers wherever, whenever and however they want. We give our people the opportunity to inspire and lead teams, and work on projects that connect people, cities, businesses, and ideas. We want you to help us change the world, for the better. Diversity and inclusion • Signed the UN Women Empowerment Principles which guide our Gender Action Plan, • Trained 60 (and growing) Colties to be Mental Health First Aiders Our benefits support you through all parts of life, for both physical and mental health. • Flexible working hours and the option to work from home., • Extensive induction program with experienced mentors and buddies., • Opportunities for further development and educational opportunities., • Global Family Leave Policy., • Employee Assistance Program., • When you join Colt you become part of our global network. We are proud of our colleagues and the stories and experience they bring – take a look at ‘Our People’ site including our Empowered Women in Tech.

Head of AI Research & Engineering About Nxera Pharma Nxera Pharma is establishing a new AI enabled discovery initiative to build a high throughput AI and physics driven GPCR discovery engine that augments our world class experimental capabilities and extensive proprietary structural and chemogenomic data assets originating from Heptares Therapeutics. This initiative sits within our newly formed Computational Sciences team alongside Research Informatics, Chem Informatics and Bio Informatics. AI is being deployed across the NxWaveTM platform, trained on the industry’s most extensive proprietary GPCR structure–ligand dataset and paired with our curated chemogenomic library of GPCR focused small molecules. Our mission is to unlock the vast untapped potential of G-protein-coupled receptors (GPCRs) using computational and experimental innovation to design first-in-class therapeutics across metabolic, neurological, immunological, and rare diseases. As part of Nxera’s mission to redefine how new medicines are discovered and to fully leverage advances in AI, quantum mechanics and next generation data integration, we are seeking a Head of AI Research & Engineering. The Role The Head of AI Research will be a key scientific and technical leader within Nxera, responsible for building and scaling our AI capabilities for molecular discovery. This is a role for a mathematically grounded innovator who thrives at the intersection of algorithm development, biological modeling, and scalable engineering. You will lead the design of generative AI systems, protein co-folding architectures, and graph neural networks (GNNs) and agentic AI, that help uncover new therapeutic possibilities. Working alongside leading computational scientists, data engineers, and domain experts, you will shape the future of AI-driven discovery at Nxera — advancing our mission to make precision medicines a reality. What You’ll Do • Define and deliver Nxera’s AI research & engineering strategy, driving innovation in molecular representation learning, protein structure modeling, and predictive algorithms for drug design., • Lead the creation of graph-based and geometric deep learning architectures for molecular and structural data, including protein co-folding and multimer prediction., • Oversee the mathematical and computational rigor underpinning all AI models — ensuring transparency, interpretability, and reproducibility., • Build and inspire a cross-disciplinary team of AI engineers, applied mathematicians, and computational biologists, fostering a collaborative research environment., • Collaborate across Discovery and Data Science teams to integrate AI models into experimental design and data interpretation pipelines., • Lead the deployment of scalable AI infrastructure and Agentic AI for biomolecular computation and model lifecycle management., • Engage with external research partners, academic collaborators, and technology providers to stay at the forefront of innovation in AI for drug discovery. What You’ll Bring • PhD (or equivalent experience) in Mathematics, Statistics, Computer Science, Computational Biology, or a related quantitative field., • 10+ years of experience in AI, computational biology, or applied mathematics, with a proven record of leadership in algorithm development or AI platform design., • Deep technical knowledge of PyTorch, TensorFlow, and cloud or HPC infrastructure for large-scale model training., • Strong foundation in statistics, probability, optimization, and high-dimensional data analysis., • Demonstrated success in translating AI research into applied outcomes in drug discovery, molecular design, or structural biology., • Expertise in machine learning for molecular systems, including graph neural networks (GNNs), transformer architectures, and protein folding / co-folding prediction. Why Join Nxera Pharma • Lead the evolution of AI-driven molecular discovery in a company built on scientific integrity and purpose., • Work at the nexus of mathematics, machine learning, and molecular biology, redefining how therapeutics are discovered., • Collaborate with world-class researchers and engineers united by a mission to bring precision medicines to patients faster. What’s in it for you? • State-of-the-art R&D centre located in the heart of the Cambridge science cluster - for Cambridge hires, • Competitive compensation package including discretionary cash bonuses, • Eligible for grants of Restricted Stock Units, • 26 days annual leave in addition to public holidays plus the option to purchase an additional 5 days each year, • Employer contribution to pension, • Private Medical Insurance for employees and family and a cash plan for dental and optical reimbursement, • Health and wellbeing benefits including a subsidised individual gym membership, • Income protection to cover long term absences due to ill health, • Group Death in Service equal to 4x basic annual salary At Nxera Pharma, we are passionate about delivering life-changing medicines to patients. We foster an open and welcoming environment where everyone can bring their authentic self to work, harnessing our individual strengths to succeed together. We value our culture rooted in a diverse mix of minds, backgrounds, and abilities, with a deep sense of belonging. For us, inclusiveness is a reflex, not an initiative. We are achieving this through a consistent commitment to fairness, equal opportunity, and equity. Applications should include a CV and covering letter, providing a short description of the background of your interest in the role. Join us at Nxera Pharma — where AI meets biology to transform the future of medicine.

🚀 C++ Software Engineer – STL – UNIX - London 🌟 Miller Maxwell is assisting a Tier-1 electronic trading organisation that is expanding its team as part of their 2026 growth plan. They seek a talented C++ Software Engineer to join the client's London team. This role will be a key contributor to the enhancement of their electronic trading ecosystem and surrounding environment. The client is part of a large investment banking group, one of the largest financial institutions globally. 🔧 Responsibilities for the C++ Software Engineer: • 🤝 Assist: Support the engineering manager with the growth of the team in London and the US office., • 🛠️ Develop: Define and be involved in development projects for their core real-time trading engine., • 🤓 Collaborate: Work collaboratively with internal and external testing and engineering teams., • 🤖 Automate: Assist with further advancements in platform automation., • 📋 Manage: Take ownership of business and technical change requests., • 📝 Design: Plan and document software changes., • 🔍 Test: Conduct integration testing to ensure high-quality QA. 🎓 Requirements for the C++ Software Engineer: • 🎓 STEM Background: A solid foundation in Science, Technology, Engineering, or Mathematics., • 💻 C++ Expertise: Proven commercial experience in C++ development., • 🛠️ STL Experience: Proficiency with the Standard Template Library., • 🖥️ UNIX Experience: Experience working in UNIX environments., • 🔍 Analytical Skills: Strong troubleshooting and diagnostic abilities. Our client seeks a C++ Software Engineer who brings fresh ideas, contributes to projects, assists with the adoption of automation, and helps senior stakeholders grow the team. Join our client and be part of a team where you will contribute to something extraordinary. If you are ready to take your career to the next level and work with a highly talented team, apply now!

Senior Data Scientist Logistics AI Company (Up to £120,000 per annum) London (4 days per week in office) La Fosse have partnered with a ambitious AI company transforming how businesses in the logistics sector operate. La Fosse are supporting this rapidly expanding AI business in preparing for an international launch, we’re now looking for a Senior Data Scientist. What you’ll be doing: • Build, deploy, and scale machine learning systems that forecast demand, optimise staffing, and improve operational performance across thousands of venues., • Lead projects end-to-end, from data design and modelling through to validation, deployment, and monitoring., • Develop AI systems across areas such as computer vision, forecasting, optimisation, and emerging generative or agentic models., • Partner with engineers to design scalable ML pipelines, APIs, and real-time infrastructure. About you: • Background in Computer Science, Mathematics, Data Science, or AI (Master’s or PhD preferred)., • 5+ years’ experience developing and deploying ML models in production environments., • Strong Python skills, with experience in frameworks like PyTorch, TensorFlow, or Hugging Face., • Confident working in AWS or similar cloud environments (SageMaker, Lambda, Docker, etc.)., • Experienced in (or eager to explore) areas such as forecasting, optimisation, reinforcement learning, generative AI, or computer vision., • Solid engineering mindset, you know how to take models from research to production and keep them running reliably., • Curious, proactive, and excited to work in a fast-moving environment where AI drives everything we do. Ready to build AI that transforms how real-world operations run? Apply now and help shape the future of intelligent logistics.

About the job We are seeking recent graduates to join our Data Analytics team to deliver datasets and insights from a wide range of proprietary sources using the latest data science and analytical techniques. What you’ll be doing: • Use the latest data processing/analysis techniques and visualisation tools to deliver insights working with diverse and global data sets, including geospatial and big data, • Gain strong technical skills in SQL, Python, Power BI, Databricks (full range of appropriate training provided), • Build database and data pipelines to process and analyse data, • Build and use algorithmic and machine learning techniques to extract, transform, derive, aggregate and validate data, • Work in a fast-paced, motivated and agile team, • Opportunities to progress into more technical data science, data engineering or web development roles Requirements: • Ideal candidates will be recent graduates with a degree in a numerate or analytical subject (e.g. mathematics, chemistry, physics, earth science, data science, computer science, engineering etc.) with a 2.1 or above and excellent academic background prior to this, • Strong numerical, data handling and analytical skills in relation to complex data sets are required, • Ability to articulate analysis and findings verbally and using visualisation tools, • Good organisational skills and strong attention to detail, • Ability and willingness to adapt to and quickly learn new programming languages and software tools, • Interest in and awareness of data science technology landscape, • Interest and understanding of global trade, economics and statistics are also important Working at Clarksons Research: Clarksons Research is the leading global provider of intelligence and research across shipping, trade, offshore and energy. Respected worldwide, the Clarksons Research team of over 175 experts provides powerful analysis, insight, and data through a range of online platforms, reports, valuations, and consultancy work. Clarksons Research is part of the Clarksons Group, the world’s leading integrated shipping services provider and a FTSE 250 company. Benefits include: • 25-days holiday, • Free lunch in the company canteen, • Corporate pension scheme, • Gym and health programmes, • Cycle-to-work scheme, • Season ticket loans Details: • Salary: £32,500 and benefits, • Location: London/Midlands/Hybrid, • Number of vacancies: 1-2, • Start date: Q1 2026, • Closing date: 31st December 2025 (though applications reviewed and accepted immediately) Think you’d be a good fit: To prioritise your application for immediate review or to highlight relevant maritime or energy industry experience, please send a CV and letter directly to Apeksha Mehta at quoting reference CRSL/RES-DEV-UK/511

We are seeking an experienced Market Data Business Analyst with strong hands-on knowledge of Alveo (Asset Control) and working experience with Murex to drive high-quality market data onboarding, mastering, and distribution for valuation, risk, product control, and operations. The ideal candidate understands risk data aggregation (BCBS 239) challenges, independent valuation (IPV) processes, risk factor preparation, and stress testing workflows, and can bridge functional requirements with practical data engineering and control frameworks. Key Responsibilities 1. Alveo / Market Data Platform Ownership • Gather, document, and refine business requirements for market data mastering (terms & conditions, time series, curves, volatility surfaces, corporate actions, symbology)., • Design and optimize feed onboarding and data distribution workflows in Alveo, including golden source selection, rules, validations, and exception handling., • Define and implement data quality controls, scorecards, and remediation playbooks (completeness, accuracy, timeliness, consistency)., • Liaise with vendors (e.g., Bloomberg, Refinitiv, ICE, S&P) for feed specs, licensing constraints, and changes; manage UAT and production deployment. 2. Risk, Valuation & Product Control Support • Partner with Valuation Control/IPV to ensure model-ready data for pricing (end‑of‑day marks, curves, surfaces), challenge frameworks, and reserve methodologies., • Support Risk in risk factor taxonomy, mapping, and aggregation; ensure alignment across FO/Risk/PC data models for VaR, FRTB, XVA, sensitivities., • Enable stress testing scenarios: source and transform stressed market data sets, ensure provenance, consistency, and reproducibility., • Own issue triage for valuation breaks, stale/erroneous data, curve calibration anomalies, and market data outages; drive root‑cause and prevention. 3. Murex (MX.3) Integration • Define and manage market data interfaces to/from Murex (quotes, static, calendars, curves, vol surfaces), ensuring format and timing compliance., • Collaborate with Front Office/Quant/IT to align instrument definitions, pricing configurations, and market data transformations for consistent valuations., • Validate end‑to‑end flows: Alveo → Murex → Risk engines → Reports, with reconciliations and lineage. 4. Risk Data Aggregation & Controls (BCBS‑aligned) • Design aggregation logic and hierarchies to support accurate and timely risk reporting across entities, books, desks, and product lines., • Implement data lineage, metadata, and control checkpoints (DQ rules, thresholds, approvals) to meet governance and audit expectations., • Prepare documentation (operating procedures, control narratives, runbooks) and support internal/external audits. 5. Stakeholder Management & Delivery • Act as the primary BA between Market Data Operations, Risk, Product Control, Front Office, Model Validation, and Technology., • Run cadences: daily issue standup, weekly market data health, monthly risk/valuation data governance., • Produce dashboards/metrics (time‑to‑fix, DQ scorecards, feed SLA adherence, IPV timeliness, stress test readiness) for executive reporting. Required Experience & Skills • Hands on years in Market Data/Valuation/Risk BA roles within Investment Banking/Asset Management/Market Infrastructure., • Deep hands-on experience with Alveo (Asset Control) or equivalent market data platforms (e.g., GoldenSource, Markit EDM/IHS EDM, Bloomberg PolarLake)., • Solid working knowledge of Murex (MX.3) market data requirements and integrations for pricing and risk., • Expertise in market data domains: Rates, FX, Credit, Equities, Commodities, cash and derivatives; curves (OIS/IBOR), surfaces (vol/variance), correlation, reference data., • Strong understanding of IPV, fair value hierarchy, valuation adjustment frameworks, and risk factor preparation., • Familiarity with stress testing design and data sourcing; experience supporting VaR/FRTB/XVA and enterprise risk reporting., • Proficiency in SQL and advanced Excel; familiarity with Python for data validation/transformation is a plus., • Knowledge of data vendors and feeds (e.g., Bloomberg BVAL/BPIPE, Refinitiv DataScope), common data formats, and licensing constraints., • Degree in Finance, Financial Engineering, Mathematics, Computer Science, or related field., • Certifications: FRM, CFA, or PRM (preferred)., • Experience with Power BI/Tableau, Jira/Confluence, ServiceNow for issue workflows., • Exposure to risk engines and pricing libraries; basic understanding of curve construction and calibration.

Junior AI Engineer – Master’s Graduate Role Location: London (Hybrid) Salary: £40,000 – £45,000 + Bonus + Benefits Start Date: ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior AI Engineer to join a dynamic, fast-growing team working at the forefront of artificial intelligence, machine learning, and cloud-native applications. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic and project experience to developing and deploying AI solutions in real-world settings. You’ll collaborate with experienced AI engineers, data scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be Doing: • Designing, developing, and deploying machine learning and AI models, • Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines, • Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring, • Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP), • Collaborating with engineers, product teams, and data specialists to deliver robust, production-ready solutions, • Applying AI and ML techniques to solve practical challenges in automation, analytics, and decision support, • Contributing to internal R&D and staying current with advancements in AI and machine learning What We’re Looking For: • A recently completed Master’s degree from a Russell Group university in Artificial Intelligence, Computer Science, Data Science, Engineering, Mathematics, or a related discipline, • Demonstrated project experience (academic research, dissertation work, or personal projects) applying machine learning or AI techniques, • Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn, pandas, NumPy), • Familiarity with cloud platforms (AWS, Azure, or GCP) and basic distributed systems concepts, • Strong problem-solving mindset with a passion for building practical, scalable AI solutions, • Excellent teamwork and communication skills, • Full right to work in the UK (we are unable to offer visa sponsorship for this role) Benefits: 💰 Competitive Salary & Bonus: £40,000 – £45,000 plus bonus 🏡 Hybrid Working: Flexible balance of office and remote work 📈 Career Growth: Mentorship, structured training, and clear progression paths 🛠 Modern Tech Stack: Hands-on with the latest AI and cloud tools 🤝 Collaborative Culture: Join a supportive, innovative engineering team ✨ Additional Perks: Pension scheme, private healthcare, and wellbeing initiatives How to Apply: If you’re excited by the opportunity to apply your academic and project work to real-world AI challenges, please send us your CV. A member of our team will reach out quickly to discuss the next steps.

Tadaweb is a pioneering technology company with roots in Luxembourg and a growing global presence, with offices in the United Kingdom, France, and the United States. For over 13 years, we’ve been on a mission to make the world a safer place by empowering analysts with the tools they need to access the right information at the right time. Our cutting-edge SaaS platform revolutionizes PAI and OSINT investigations, making them faster, smarter, and more effective, all while adhering to the highest ethical standards by relying solely on publicly available information and supporting our clients’ policies. Renowned for our “nothing is impossible” ethos, we prioritize trust, transparency, and innovation in everything we do. We are looking for a skilled Data Scientist to help us unlock the power of our data and take our platform into the future. As part of our team, you will play a key role in analyzing our data and designing models that enhance our AI-powered analytics capabilities. You'll work alongside our skilled team of engineers and machine learning experts, directly contributing to next-generation capabilities that enable our users to automate their PAI collection and analysis workflows. This is an applied role focused on building and deploying solutions that directly enhance our platform’s capabilities. This role is crucial to our mission of making the world safer by empowering the human mind with the right information at the right time. Scope of Work: • Design and improve NLP models for text analysis, entity recognition, and relationship extraction from web content, • Analyze data to identify patterns and insights that can enhance our platform's capabilities, • Select and implement proven algorithms to enhance & expand platform capabilities, • Design advanced search and recommendation capabilities, • Create and refine machine learning models for risk identification and pattern detection, • Collaborate with engineers to integrate your data science solutions into our platform, • Design and analyze A/B tests to measure the effectiveness of new features and models, • Develop data visualization dashboards to communicate insights to users and stakeholders, • Apply responsible AI practices in all aspects of model development, • Analyze model performance, diagnose issues, and recommend improvements, • Research and evaluate emerging technologies in NLP, information retrieval, and ML, • Document methodologies, model architectures, and experimental results, • Mentor junior team members and contribute to the data science community of practice Your Profile: • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related fields, • Strong programming skills in Python, with proficiency in data science libraries (NumPy, Pandas, scikit-learn), • Experience with SQL for data querying and analysis, • Solid understanding of machine learning algorithms, statistical methods, and predictive modeling, • Experience with NLP techniques for text analysis, classification, and information extraction, • Knowledge of deep learning frameworks such as PyTorch or TensorFlow, • Experience with data visualization tools (Matplotlib, Seaborn, Plotly, or similar), • Knowledge of MLOps practices and tools for experiment tracking, • Strong analytical mindset with a focus on solving real-world problems, • Excellent communication skills to present findings to technical and non-technical stakeholders You get bonus points if you have any of the following: • Experience with large language models and generative AI technologies, • Background in information retrieval systems or search engine development, • Experience with OSINT or intelligence analysis tools and methodologies, • Understanding of data privacy regulations and security considerations, • Experience with time series analysis and anomaly detection, • Familiarity with A/B testing and experimentation design, • Experience working with PAI sources and analytical techniques, • Knowledge of graph databases and network analysis for relationship mapping, • Familiarity with cloud platforms (AWS, Azure, or GCP) for ML model deployment, • Experience with big data processing frameworks like Apache Spark, • Knowledge of NoSQL databases (MongoDB, Elasticsearch) for handling unstructured data, • Experience with data versioning and feature stores for machine learning, • Proficiency in model deployment using containerization (Docker, Kubernetes), • PhD in Data Science, Computer Science, Statistics, Mathematics, or related fields, • Open-source contributions or research publications in relevant fields What we offer: • The opportunity to join a growing tech company, with strong product-market fit and an ambitious roadmap, • The chance to join a human-focused company that genuinely cares about its employees and core values and with an international exposure with our global team across Luxembourg, Paris, London, and Washington DC, • A focus on performance of the team, not hours at the desk., • A social calendar including family parties, games nights, annual offsites, End of the year events and more, with an inclusive approach for both younger professionals and parents. Tadaweb is an equal opportunity employer and we strive to have a team with diverse perspectives, experiences and backgrounds. Our culture: • Our company culture is driven by the core values of family first, nothing is impossible and work hard, play harder., • We provide a healthy and positive culture that cares about employee wellbeing by creating a great workplace and investing our employees learning and development., • Our leaders aspire to the philosophies of extreme ownership, and servant leadership.

Senior Software Developers specialising in trading systems required for an excellent client based in London. The successful Software Developer will join a extremely talented development team and you will be exposed to creating and maintaining our client's own applications based around a C#/.NET/SQL Server/ASP.NET universe. Many projects are greenfield projects and allow you to make your own mark on the development process early on.You will be given the opportunity to work with the some of the latest technologies possible and will be expected to produce excellent code for our clients in house software applications and trading platform. Our client offers a very collaborative working environment with all of the development team coming from excellent educational backgrounds from across Europe. This role is within the sports trading industry so any candidate applying should either have an interest in the industry, or experience within it. This is predominantly an office-based role. As well as very competitive salaries, our client offers a comprehensive benefits package. Skills required: • C#, • Worked with the latest version of the .NET platform, • Database experience - SQL Server, • WPF, • Angular, TypeScript, • Modelling experience, • High level aptitude for technology, • Education to at least a BSc level or higher in Computer Science or Mathematics from a Russell Group University or equivalent. Desirable skills: • HTML5, CSS, JavaScript, • Multi-threaded application development, • Understanding of Windows technologies If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson on 02380 765 287 or email Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

PhD Graduate Software Engineer – Central London (flexible remote) - £40,000 - £45,000 Greenfield Projects | Progression Opportunity | Variety in Technology | Remote Working (Once a Fortnight Meet-Up) Ada Meher is currently resourcing for a candidate to join their client, a market leading consultancy, who are looking to add to their Software Development resource due to the demands of their upcoming project wins. The client always strives to use a “best fit” technology approach to solve their client’s software requirements resulting in a great opportunity to get exposure to a wide variety of tech – no two projects are ever the same. There will also be the opportunity to get involved across the full software development life-cycle from requirements gathering with clients right through to delivery. The business operate with a high degree of remote flexibility, meeting up as a team in the office once every fortnight, so they are open to applications from candidates across the UK but any applicants must be willing to travel into London as needed. The ideal candidate will have high level academic achievement with good algorithmic ability, and preferably a background in computer science or mathematics, and be enthused by the chance to develop creative solutions to enterprise level problems. Given the greenfield nature of the work there is plenty of opportunity for input from all levels on the design of the solution and a real chance for the right person to really make their mark. Those that come in and make an impact can expect to progress quickly as they develop their skills commercially, with progression based on measurable targets not time in role. To be considered: • Experience working with (academic experience is fine) or knowledge of programming (Python, R, MATLAB, C# etc), • Strong communication skills, • Educated to PhD level, • Demonstrable experience working with algorithms/problem solving The company in question is a market leader not only in the solutions that they provide to their clients internationally but also the technology the work on and the environment they create with many perks such as remote working and healthcare benefits. They aspire to create a relaxed environment where people can work on forward thinking technology solutions. This PhD Graduate Software Engineer role is attracting a high number of applicants at the moment so be sure to get in contact ASAP to avoid missing out. Please send a CV in confidence for more information.

Frontend Software Engineer – React / TypeScript / Complex Web Applications Location: London, UK (Hybrid) Type: Full-time Level: Mid to Senior Salary: £70,000 to £140,000 About the Role This startup is building a cutting-edge platform that redefines how engineers design physical products. As a spin-out from one of the UK’s most successful technology companies, the team includes world-class engineers and developers from top-tier product organisations. We're searching for a frontend engineer passionate about building complex, high-performance web applications. Tech Stack (Engineering Environment) Frontend: React, TypeScript, Vite, Zustand/Recoil, Tailwind (or similar), Web Workers, WebGL/WebGPU (nice to have) Backend: Python, FastAPI, Pydantic, PostgreSQL Infrastructure: GitHub Actions, GCP, Docker, Kubernetes Paradigms: Event-driven architecture, functional programming, real-time data flows Responsibilities • Build and maintain complex, high-performance web applications using React and TypeScript, • Develop interactive UIs for geometry exploration, real-time simulations, and high-density data visualisation, • Work closely with engineers and domain experts to transform intricate physical and mathematical concepts into accessible UX flows, • Use functional and declarative programming patterns to create composable, reusable, testable UI components, • Architect and maintain client-side state management solutions that handle large, rapidly changing datasets, • Optimise performance using techniques such as memoisation, batching, Web Workers, and incremental rendering, • Own features end-to-end—from initial concept, prototype, and UX exploration through to production release, • Collaborate with backend teams to design efficient API shapes for event-driven and streaming data systems Requirements • Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or a related technical field, • 2+ years experience building complex, production-grade web applications, • Strong proficiency with React, TypeScript, and modern frontend tooling, • Experience working with Python Frontend Software Engineer – React / TypeScript / Complex Web Applications

A leading global investment bank is seeking a Java Developer / eTrading Strategist to join its London Rates eTrading team. This front-office role sits at the intersection of quantitative research, trading, and technology, focused on delivering high-performance Java systems for pricing and electronic execution across the bank's global Rates business. The Role You will design, build, and optimise low-latency Java components supporting real-time pricing, algorithmic execution, and market connectivity. Working closely with quants and traders, you'll transform quantitative models and execution logic into robust, production-grade trading applications. The role requires deep technical expertise and an interest in market microstructure and electronic execution dynamics. Key Responsibilities * Engineer low-latency, multithreaded Java applications powering Rates pricing and execution. * Partner with quants to integrate and enhance pricing models and execution algorithms. * Develop and tune smart order routers, auto-quoting, and market-making components. * Profile and optimise Java systems for throughput, GC efficiency, and predictable latency. * Implement real-time monitoring, logging, and performance diagnostics. * Collaborate across technology and trading teams to continuously refine execution performance and market response. Candidate Profile * Degree in Computer Science, Engineering, Mathematics, or a related quantitative field. * 10+ years' experience in Java development for low-latency or electronic trading systems. * Deep expertise in Java concurrency, GC tuning, memory management, and NIO. * Strong grasp of market microstructure, FIX protocols, and order handling. * Proven record of delivering production-grade Java trading platforms in front-office environments. * Experience in Rates eTrading (cash or derivatives) strongly preferred although open to other asset classes such as Equities and FX. Preferred Technical Skills * Core Java 11+, multithreading, lock-free programming. * Low-latency messaging (Aeron, Chronicle Queue, Kafka). * Market-making and execution algo frameworks. * Familiarity with distributed architectures and cloud-native Java. What's on Offer * Direct front-office impact on the Rates eTrading desk. * Close collaboration with quants and traders on model integration and execution logic. * Work on cutting-edge low-latency and algo engineering challenges. * Hybrid setup - around 2 days per month in the London office. * Competitive compensation and clear progression opportunities. If you are passionate about Java, pricing, execution, and low-latency trading, we'd love to hear from you. Desired Skills and Experience Computer Science Degree Java Rates algo Front Office Quant Trading McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

Job Description: Remote contract for PhDs in Mathematics, Statistics, or related fields. Work on cutting-edge projects with top AI labs while earning $50+/hour, fully remote, with flexible weekly hours. No AI experienc required. Role Overview: Help fine-tune large language models (like ChatGPT) using your math and analytical skills. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks. Responsibilities: • Design advanced math problems to test AI performance (e.g., multi-step reasoning, abstraction, symbolic manipulation)., • Develop clear, step-by-step solutions with rigorous logic., • Evaluate AI outputs for accuracy and quality of reasoning., • Collaborate with researchers to refine benchmarks across undergraduate to PhD-level math topics. Requirements: • PhD (pursuing or completed) in Mathematics, Applied Math, Statistics, or related field., • Strong mathematical reasoning and problem-solving skills across advanced domains., • Ability to communicate complex ideas clearly in writing and provide structured feedback., • No AI experience required Perks: • Fully remote, flexible work., • Work on cutting-edge AI projects with leading LLM companies. Offer Details: • Pay rate: $50+/hour (depends on role and candidate expertise), • Assessment: Shortlisted experts complete an evaluation before selection., • Assignments: Contract roles with defined start/end dates; up to 40 hrs/week. About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network.

Job Description: Remote contract for PhDs in Mathematics, Statistics, or related fields. Work on cutting-edge projects with top AI labs while earning $50+/hour, fully remote, with flexible weekly hours. No AI experienc required. Role Overview: Help fine-tune large language models (like ChatGPT) using your math and analytical skills. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks. Responsibilities: • Design advanced math problems to test AI performance (e.g., multi-step reasoning, abstraction, symbolic manipulation)., • Develop clear, step-by-step solutions with rigorous logic., • Evaluate AI outputs for accuracy and quality of reasoning., • Collaborate with researchers to refine benchmarks across undergraduate to PhD-level math topics. Requirements: • PhD (pursuing or completed) in Mathematics, Applied Math, Statistics, or related field., • Strong mathematical reasoning and problem-solving skills across advanced domains., • Ability to communicate complex ideas clearly in writing and provide structured feedback., • No AI experience required Perks: • Fully remote, flexible work., • Work on cutting-edge AI projects with leading LLM companies. Offer Details: • Pay rate: $50+/hour (depends on role and candidate expertise), • Assessment: Shortlisted experts complete an evaluation before selection., • Assignments: Contract roles with defined start/end dates; up to 40 hrs/week. About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network.

AI Engineer Location: Manchester / Hybrid / Remote - depending on candidate location. If you are not based in Manchester, you will need to travel to Manchester once or twice a month. Our global client is building advanced behavioural intelligence technology that enables secure, adaptive digital identity. By analysing how people naturally interact with devices, their AI systems create powerful authentication signals designed for real-world use at scale. This is a high-impact opportunity to join a significantly growing AI team and take ownership of creating and working on cutting-edge models and pipelines. The Role As an AI Engineer, you will design, build, and refine machine learning models that sit at the heart of the company’s behavioural AI platform. This is a hands-on role involving working with real sensor data from devices we use daily, developing and training architectures, and deploying models that make authentication decisions in production. You’ll collaborate closely with other AI engineers, as well as engineering and product teams, to ensure models are robust, efficient, and production ready. Key Responsibilities • Develop and train deep learning models for behavioural authentication, working with multimodal sensor data including accelerometer, gyroscope, touch patterns, and device interaction signals, • Build data processing pipelines for irregular, event-driven time series data from mobile devices, • Design and run experiments to improve model performance on key authentication metrics (False Accept Rate, False Reject Rate), • Contributing to the evolution of large-scale behavioural modelling approaches and shared training systems, • Preparing models for efficient on-device execution, balancing performance with mobile hardware limitations, • Deploy models for edge inference using CoreML and ONNX, optimising for mobile device constraints, • Working closely with mobile engineering teams to embed AI functionality into production SDKs, • Defining and improving methods for evaluating, benchmarking, and validating behavioural authentication systems, • Contribute to Large Behavioural Model architecture and training infrastructure What We’re Looking For Required • Strong experience building deep learning systems using PyTorch - not just using API wrappers or pre-trained models, • Experience implementing modern neural architectures, including attention-based models, custom model heads and positional encoding, • Experience working with temporal or sequential data, particularly from sensors or user interactions, wearables etc, • Comfortable managing experiments, model versions, and reproducible ML workflows, • Experience deploying machine learning models using cloud infrastructure (AWS preferred), • Strong Python skills and a practical, delivery-focused mindset Desirable • PhD in Machine Learning, Computer Science, Applied Mathematics, Computational Linguistics, or a related field, • Experience with behavioural modelling, biometrics, authentication systems, security applications or security-focused AI, • Experience with behavioural data, human activity recognition, or gait analysis, • Exposure to deploying models on-device or in constrained environments, • Familiarity with representation learning or self-supervised approaches, • Research background or publications in relevant areas Tech stack • ML/AI: PyTorch, MLflow, SageMaker, ZenML, • Infrastructure: AWS, Kubernetes, Docker, • Edge deployment: CoreML, ONNX, • Data: Python, S3, multimodal sensor data pipelines, • Collaboration: JIRA, Git, structured OKR methodology Why you will enjoy working with our client: You’ll join a small, growing AI team where engineers have real ownership and autonomy. You’ll be trusted to tackle complex, open-ended problems, collaborate closely across disciplines, and apply research thinking to systems that are built to ship. It’s an environment that values curiosity, delivery, and continuous learning.

AI Engineer (PhD) – Series A Deep Tech AI Company About the Company: Our client is a cutting-edge deep tech start-up that’s redefining how enterprises leverage artificial intelligence to automate complex analytical workflows. Having completed a successful Series A funding round, they are rapidly scaling their technology and delivery teams to meet strong enterprise demand. Their mission is to replace traditional, fragmented analytics processes with intelligent AI-powered digital workers — autonomous systems that can perform advanced analytics, data science, and decision-making tasks continuously, accurately, and at scale. The Role: As an AI Engineer, you’ll be part of a world-class team building and deploying production-grade AI systems that redefine enterprise analytics. This is a high-impact, client-facing position where you’ll design, implement, and deliver agentic workflows and intelligent systems that solve real business challenges at scale. You’ll collaborate with senior stakeholders, data scientists, and product teams at some of the world’s most recognized enterprises — translating complex business problems into elegant, scalable AI solutions. What You’ll Do: • Lead the design and delivery of agentic AI systems and LLM-based workflows for top-tier enterprise clients., • Partner directly with technical and business teams to identify pain points and architect high-impact AI-driven solutions., • Build and deploy production-grade systems leveraging LLMs, RAG pipelines, multi-component AI programs (MCPs), and agent frameworks., • Conduct applied research to solve novel, previously unseen problems — bringing cutting-edge innovation from concept to production., • Contribute to internal research initiatives and thought leadership, shaping the evolution of AI automation in enterprise contexts. What You’ll Bring: • PhD in a STEM field (Computer Science, Machine Learning, Mathematics, Physics, or related discipline). Your research background enables you to tackle complex, ambiguous problems with scientific rigor and creativity., • Proven hands-on experience building and deploying LLM-based or agentic systems in production environments., • Strong understanding of RAGs, MCPs, and scalable AI architectures., • A forward-deployed engineering mindset — comfortable engaging directly with clients to understand business needs and deliver measurable results., • Excellent communication and problem-solving skills, with the ability to translate between technical and commercial perspectives. Why Join: • Be part of a fast-growing Series A company that’s transforming how enterprises use AI., • Work on real-world, high-impact AI projects with globally recognized clients., • Collaborate with some of the brightest minds in AI and applied research., • Join a culture that prizes curiosity, ownership, and performance — where winning as a team is the ultimate goal.

Senior Machine Learning Engineer x2 days a week in the office (can be reduced to x1 day sometimes) About the Role & Company Join a large-scale, consumer-facing technology business operating across multiple markets, known for its innovation, rich user data, and commitment to ML / AI. With thousands of employees and a rapidly expanding AI/ML function, this company is investing deeply in applied machine learning to enhance digital experiences, power intelligent automation, and unlock data-driven decision-making. As a Senior Machine Learning Engineer, you’ll be part of a cross-functional team bringing models from ideation into production, developing scalable ML systems that operate across both real-time and batch environments. You'll also help shape internal tooling and infrastructure to support rapid experimentation, reliable deployment, and safe AI at scale. Key Responsibilities • Build, deploy and maintain machine learning models as APIs, streams, and batch services, • Partner with Data Scientists to industrialise prototypes into production-ready applications, • Lead on observability, CI/CD automation, and monitoring for ML workflows, • Develop cloud-native infrastructure using Docker, Kubernetes, and Terraform, • Contribute to shared ML tooling and experimentation platforms, • Ensure best practices in model testing, rollback, and deployment hygiene, • Work across technical and compliance teams to ensure governance and risk controls Requirements • 3–5 years’ experience in machine learning engineering and/or applied data science, • Master’s or PhD in a numerate discipline (Computer Science, Mathematics, etc.), • Strong Python coding skills for production systems, • Proven experience deploying models in real-world environments (API, batch, streaming), • Familiarity with MLOps best practices and containerised deployments (Docker, Kubernetes), • Experience working in cloud environments (AWS preferred; Terraform a bonus), • Strong communication skills and interest in the latest ML/AI developments, • Comfortable in collaborative, cross-functional teams with fast iteration cycles If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via (feel free to include a CV for review).

Director of AI Research & Engineering About Nxera Pharma Nxera Pharma is establishing a new AI enabled discovery initiative to build a high throughput AI and physics driven GPCR discovery engine that augments our world class experimental capabilities and extensive proprietary structural and chemogenomic data assets originating from Heptares Therapeutics. This initiative sits within our newly formed Computational Sciences team alongside Research Informatics, Chem Informatics and Bio Informatics. AI is being deployed across the NxWaveTM platform, trained on the industry’s most extensive proprietary GPCR structure–ligand dataset and paired with our curated chemogenomic library of GPCR focused small molecules. Our mission is to unlock the vast untapped potential of G-protein-coupled receptors (GPCRs) using computational and experimental innovation to design first-in-class therapeutics across metabolic, neurological, immunological, and rare diseases. As part of Nxera’s mission to redefine how new medicines are discovered and to fully leverage advances in AI, quantum mechanics and next generation data integration, we are seeking a Director of AI Research & Engineering. The Role We are seeking a visionary Director of AI Research to lead the design, development, and deployment of advanced AI and machine learning capabilities across Nxera’s discovery pipeline. This role will accelerate the evolution of NxWave™, embedding AI throughout structure determination, ligand discovery, and translational biology. You will bridge data science, structural biology, and chemistry, transforming how Nxera generates, analyses, and applies biological knowledge. What You’ll Do • Help define and implement Nxera’s enterprise-level AI strategy to scale intelligent automation across discovery and design including:, • Algorithmic Innovation, • Drive the application and development of advanced AI methods, including:, • Generative models for de novo ligand and peptide design (e.g. diffusion models, VAEs, GANs, reinforcement learning)., • Protein structure prediction and conformational modelling using graph neural networks (GNNs) and equivariant transformers., • Molecular property prediction via multitask learning, transfer learning, and self-supervised pretraining on molecular graphs., • Active learning and Bayesian optimisation to prioritise compounds for synthesis and assay., • Natural-language processing (NLP) and retrieval-augmented generation (RAG) for mining scientific literature and experimental reports., • Multi-modal integration of structural, chemical, and biological data using embedding fusion and transformer-based architectures., • Integrate with NxWave™, • Collaborate with computational chemists and biophysicists to integrate AI models with experimental pipelines such as cryo-EM, crystallography, and high-throughput screening., • Data Infrastructure & Governance, • Oversee design of scalable data pipelines, model lifecycle management, and ML-Ops infrastructure for secure and reproducible research., • Collaboration & Mentorship, • Build and lead a high-performing AI research & engineering team, mentoring scientists and engineers to deliver impactful, production-ready models., • Partner with global AI and cloud technology leaders to co-develop new discovery algorithms. What You’ll Bring You combine deep technical expertise with a passion for translating AI breakthroughs into transformative medicines. Essential Qualifications • PhD (or equivalent) in Computer Science, Computational Biology, Applied Mathematics, or related quantitative discipline., • 5+ years of experience applying AI/ML to life sciences, drug discovery, or healthcare innovation., • Proven leadership in developing and deploying deep learning or generative AI systems at scale., • Proficiency in frameworks such as PyTorch, TensorFlow, or JAX; and experience with cloud-native ML infrastructure (AWS SageMaker, Vertex AI, Azure ML)., • Demonstrated understanding of chemoinformatics, molecular docking, free-energy prediction, or structure-based drug design workflows. Desirable • Experience with co-folding., • Publications or patents in deep generative chemistry, protein design, or foundation models., • Familiarity with graph transformer architectures, diffusion models, or LLMs for scientific reasoning. Why Join Nxera Pharma • Lead the evolution of AI-driven molecular discovery in a company built on scientific integrity and purpose., • Work at the nexus of mathematics, machine learning, and molecular biology, redefining how therapeutics are discovered., • Collaborate with world-class researchers and engineers united by a mission to bring precision medicines to patients faster. What’s in it for you? • State-of-the-art R&D centre located in the heart of the Cambridge science cluster - for Cambridge hires, • Competitive compensation package including discretionary cash bonuses, • Eligible for grants of Restricted Stock Units, • 26 days annual leave in addition to public holidays plus the option to purchase an additional 5 days each year, • Employer contribution to pension, • Private Medical Insurance for employees and family and a cash plan for dental and optical reimbursement, • Health and wellbeing benefits including a subsidised individual gym membership, • Income protection to cover long term absences due to ill health, • Group Death in Service equal to 4x basic annual salary At Nxera Pharma, we are passionate about delivering life-changing medicines to patients. We foster an open and welcoming environment where everyone can bring their authentic self to work, harnessing our individual strengths to succeed together. We value our culture rooted in a diverse mix of minds, backgrounds, and abilities, with a deep sense of belonging. For us, inclusiveness is a reflex, not an initiative. We are achieving this through a consistent commitment to fairness, equal opportunity, and equity. Applications should include a CV and covering letter, providing a short description of the background of your interest in the role. Join us at Nxera Pharma — where AI meets biology to transform the future of medicine.

Endur Trading Business Analyst Salary: £70,000 - £85,000 + £5,750 Car Allowance + 10% Bonus Location: London (with ad hoc travel) About the Role We're seeking an experienced Trading Business Analyst to support energy and commodities trading firms in optimizing the Endur trading platform. You'll work closely with traders, risk managers, and IT teams to enhance the efficiency and effectiveness of the platform in trading, risk management, and back-office operations. Key Responsibilities • Analyze business requirements, • Configure Endur functionalities and identify system improvements, • Troubleshoot issues related to trading workflows, • Ensure data integrity and facilitate user training, • Generate and present reports to key stakeholders Essential Requirements Business Analysis / Project Delivery Experience • Proven experience in end-to-end project delivery and business analysis, • Strong BA experience including capturing business problems, value drivers, and functional/non-functional requirements, • Experience running workshops and user acceptance testing, • Strong stakeholder management skills, • Experience working in Agile project delivery Energy Trading & Endur Experience Experience of energy trading markets, with a strong understanding of one of the following markets: • UK & European Power, • UK & European Gas, • Environmental products Working knowledge of different trading instruments, including: • OTC transactions (forwards, swaps, and simple options), • Exchange traded futures & options lifecycle including cascading In-depth knowledge of at least one of the following functional areas: • Trade capture - complex deal modelling and pricing, • Market Risk and risk Valuation, • Back-Office processes, • Accounting processes, • EOD, • Migrating between ETRM systems, • Proficient with OpenLink Endur Base configurations/Reference Data configurations and good understanding of the various managers in the tool, • Endur configuration for Deal lifecycle, Confirmations, Settlement invoicing, and scheduling, • Experience establishing and delivering progressively larger and more complex projects/services, • Domain knowledge and skills in ETRM - mainly Endur (v18 or beyond), • Knowledge of energy trading and risk management (ETRM) Front Office and Operations business processes, • Knowledge of the energy/commodity trading business (Power, Emissions, Gas, Commodities), • Prior experience of Endur covering end-to-end trade lifecycle processes with knowledge on technical aspects of integrating with other ETRM systems, • Experience of financial concepts: P&L, MTM, Financial Risk, Financial Instruments (derivatives traded products), settlements, • Strong organisational skills managing multiple workstreams and competing priorities simultaneously, • Experience of line managing resources and project managing teams, • Experience leading projects embracing Cloud Technologies (e.g. AWS, Azure, GCP), • Experience using different delivery methodologies: Agile (Scrum, Kanban) and Waterfall Education and Qualifications • Bachelor's or Master's degree or equivalent, • STEM (science, technology, engineering, mathematics) majors preferred but not essential

This role exists to deliver technical expertise in digital ticketing and smart payment systems, ensuring customers benefit from smarter, simpler, and more connected solutions. The purpose is to provide specialist input, system development, and configuration management that supports seamless, future‑proof digital infrastructure. 🛠️ What You’ll Be Doing You can expect to: • Provide specialist technical input into infrastructure and system tasks., • Support new initiatives and enhancements requested by stakeholders., • Help shape engineering processes and documentation., • Work with business analysts and project managers to refine requirements., • Represent the technical team at boards and forums., • Offer technical support for escalated incidents., • Lead smaller technical initiatives independently., • Maintain system configuration and change documentation., • Build strong relationships with suppliers, customers, and stakeholders., • Ensure compliance with industry standards and ITIL processes., • Contribute to systems development workstreams. 📚 Skills & Experience Needed Essential: • Degree (or equivalent experience) in Computer Science, Engineering, Mathematics., • 3+ years of domain experience (applications, data, infrastructure)., • Strong problem‑solving and analytical skills., • Excellent communication (technical and non‑technical audiences)., • Ability to manage complex, time‑critical tasks., • Knowledge of emerging technologies (open source and licensed)., • Independent working style with attention to detail. Desirable: • Knowledge of Pay As You Go and Account‑Based Ticketing, • Understanding of contactless payment tech, • Experience with mobile technologies., • Familiarity with cloud platforms (AWS, Azure, GCP)., • Experience of smartcard ticketing and broader smart payment technologies. 👉 In essence, the purpose of this job is to engineer and support digital payment and ticketing systems, ensuring seamless customer experiences while driving innovation in smart technology.

Senior Data Developer – Multi-Strategy Hedge Fund We are seeking a Senior Data Developer to design, build, and operate a modern data platform that powers quantitative research, trading, and risk management across multiple asset classes. This is a hands-on role at the intersection of data engineering and software development, where you will own end-to-end data pipelines, enhance the security master, and ensure the front office has the data needed to drive investment returns. Key Responsibilities: • Develop and maintain scalable Python-based ETL pipelines for market data ingestion and transformation., • Build and manage cloud data lake solutions (AWS/Databricks) for structured and unstructured data., • Implement data quality, validation, and cleansing routines to ensure accuracy of financial time-series data., • Optimise workflows for low latency and high throughput to support research, trading, and risk functions., • Collaborate with portfolio managers, researchers, and traders to deliver tailored data solutions., • Contribute to security master database design and implementation., • Analyse and extract insights from datasets to inform trading and risk decisions., • Document system architecture, data flows, and technical solutions. Requirements: • Bachelor’s or higher in Computer Science, Engineering, Mathematics, Statistics, or a quantitative discipline., • 5+ years developing Python-based financial software, with strong Pandas experience., • Exposure to financial datasets across multiple asset classes., • Experience supporting quantitative research and modelling., • Proficiency in Linux environments., • Strong foundation in mathematics and statistics., • Detail-oriented, analytical, and able to thrive in a fast-paced environment., • Excellent problem-solving and communication skills. This is an opportunity to shape the data backbone of a sophisticated, multi-strategy investment operation while working at the cutting edge of quantitative finance.

Lead AI Engineer – Wellness Industry 3 days a week in Mansion House, London Up to £150k + 20% bonus + generous benefits package Travel opportunities (Singapore, Sydney, and more) Oliver Bernard have partnered with a leading global wellness brand who are looking for a Lead AI Engineer to drive end-to-end AI innovation across their consumer platform. This is a rare opportunity to join a highly aspirational, fast-growing business where technology, data, and wellness intersect. What we’re looking for: • 9-10+ years’ experience in AI, ML, or advanced data/engineering roles, • Background in STEM (Physics, Mathematics, Engineering, etc.), • Strong hands-on software engineering and coding experience, • Ability to design, build, and deploy end-to-end AI solutions, including intelligence components and API integrations, • Experience in B2C environments – ideally in consumer-facing, aspirational sectors such as e-commerce, hospitality, or lifestyle What’s on offer: • Up to £150,000 base salary, • 20% annual bonus, • Generous benefits package, • A people-first culture in the global wellness sector, • Opportunities to travel internationally (Singapore, Sydney, and other key locations) If you're an AI engineer looking to make a meaningful impact in a purpose-driven industry, I’d love to hear from you. Apply below for more information. AI Engineer | £150k | London | Hybrid

Excellent opportunity for a Quantitative Analyst who is passionate about sports to join an excellent client's team based in central London. The successful Quantitative Analyst will join a small but very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers. The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial. This is an office-based role and as well as very competitive salaries, our client offers an excellent working environment. Skills required: • Proficient in several of the following: Python, C#, C++, Java, • Mathematical Modelling, • Mathematical skills, particularly a keen understanding of probabilities and statistics, • Analytic mindset, • Strong communication skills, • Accuracy and attention to detail, • Experience in data science, • An interest in sports - Ideally football or cricket If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Junior Software Engineer (Trade Support Pathway) Location: London Experience: 0–2 Years Industry: Market Making / Proprietary Trading / Capital Markets Please note: applicants with exposure to trading, markets or buy-side environments will be viewed favourably, but this is not required. We are looking for exceptionally bright, curious, and motivated junior engineers who want to build a long-term career at the intersection of trading and software engineering. You will join a small, highly technical, and collaborative team of expert traders and engineers working on cutting-edge algorithmic trading systems. This role sits within the Trade Support Engineering function a team that operates far beyond traditional support. You will become a critical bridge between Trading and Core Engineering, developing a deep understanding of system internals, triaging and resolving real-time issues, improving tooling, and directly contributing to core development workflows. Successful candidates can progress in one of two directions after the first 12 months: (1) Continue to grow within Trade Support Engineering, or (2) Transition into a full Software Engineer role. What You’ll Do • Work on-site every day at 7:15am for your first 12 months, supporting live trading environments., • Develop a deep understanding of our trading systems, architecture, and infrastructure., • Collaborate with traders and senior engineers to diagnose issues, improve performance, and enhance system reliability., • Build and maintain internal tools, automate manual workflows, and contribute to codebases that sit close to the trading engine., • Participate in core development processes including testing, deployment, CI/CD improvements, and version control workflows., • Undergraduate degree from a Top 10 university (or international equivalent) in Computer Science, Engineering, Mathematics, Physics, or similar., • 0–2 years of experience in software development (no experience required for exceptional candidates)., • Strong programming fundamentals in Python, Java, or C++., • Understanding of databases (SQL or NoSQL)., • Familiarity with Linux, scripting, or version control (Git) is a plus., • Curiosity, resilience, and a strong desire to learn quickly in a live trading environment., • Excellent communication skills and a collaborative mindset. Why Join ? • Clear career progression into a full SWE role or advanced Trade Support Engineering., • Close mentorship from senior engineers and traders., • Exposure to high-performance systems, low-latency technology, and real-time problem solving., • A culture that values kindness, intellectual honesty, diversity of backgrounds, and continuous improvement., • The opportunity to influence production trading systems early in your career.

My leading Investment Bank client are looking for a talented and motivated individual to take responsibility for developing, documenting, and monitoring Credit Risk models for their EMEA region. You'll take initiative on activities supporting Regulatory and Internal Capital Assessments such as ICAAP, ICARA and others, as well as developing innovative solutions in climate risk modelling and scenario analysis exercise. The team is high performing yet supportive, with great management. A brilliant opportunity! The following skills / experience is required: • Strong background in Credit Risk Model development, • Degree in Quantitative subject (Finance, Mathematics, Economics, Engineering, etc), • Programming languages, ideally R. Python, SAS are desirable, • Banking background, • Strong Excel and Access skills, • Good communication and stakeholder management skills. Salary: Up to £130,000 + bonus + package Level: Vice President (VP) Location: London (good work from home options available) If you are interested in this Quantitative Risk Analyst position and meet the above requirements please apply immediately.

Introduction to team: As a Data Scientist III on our Experimentation Science team, you will play a critical role in shaping the statistical methodologies that underpin Expedia Group’s experimentation platform. Your work will ensure that every feature change on our website—from button colors to booking flows—is rigorously tested to maximize business impact. This role blends research and practical application, requiring you to design, evaluate, and improve hypothesis testing frameworks and experimentation techniques. You will collaborate closely with platform engineers to implement scalable solutions, provide expert guidance to stakeholders, and drive innovation through cutting-edge statistical research. This position offers a unique opportunity to apply deep statistical expertise in a dynamic environment where your contributions directly influence product decisions and customer experiences worldwide. In this role, you will: • Lead the development and validation of advanced statistical methodologies to support Expedia Group’s experimentation platform, ensuring robust and reliable A/B testing across the website’s features and user experiences, • Collaborate closely with the experimentation platform team to design, implement, and scale new testing frameworks and tools that enhance the platform’s capabilities and reporting accuracy, • Provide expert guidance and training to cross-functional teams on experimental design, hypothesis testing, and statistical best practices to optimize test duration, sample size, and overall experiment quality, • Conduct original research to explore and develop innovative approaches for experimentation challenges, including designing proof-of-concept studies and integrating new methodologies into production workflows, • Analyze complex experimental data, build simulation frameworks to quantify error rates, and communicate findings clearly to both technical and non-technical stakeholders to inform business decisions What we're looking for: • Deep expertise in statistical methodologies, particularly hypothesis testing, design of experiments, and interpretation of p-values and confidence intervals, with the ability to apply these concepts rigorously in an experimentation context, • Strong analytical mindset with the capability to structure complex business problems and translate them into statistically sound experimental designs and solutions, • Proficiency in programming with experience in Python, PySpark, R, or similar languages, sufficient to implement and test statistical models and simulations, with an emphasis on correctness over advanced coding skills, • Demonstrated ability to conduct independent research, quickly learn new statistical techniques, and develop proof-of-concept models that can be scaled and integrated into production experimentation platforms, • Excellent communication skills to clearly explain complex statistical concepts and experimental results to both technical and non-technical stakeholders, ensuring alignment and understanding across teams Experience and qualifications: • A bachelor’s degree or higher in Mathematics, Statistics, or a closely related quantitative field, providing a strong foundation in statistical theory and experimental design, • Proven expertise in hypothesis testing, design of experiments, and statistical methodologies critical to experimentation science, • Solid programming skills in at least one language such as Python, R, or PySpark, with the ability to write clean, maintainable code to support research and implementation, • Experience applying statistical rigor to real-world business problems, with the ability to independently lead and deploy methodologies at scale, • Strong analytical mindset with the capacity to research, evaluate, and implement new statistical approaches and simulation frameworks, • Excellent communication skills to clearly explain complex statistical concepts and results to both technical and non-technical stakeholders, • Ability to work collaboratively within a small, focused team and liaise effectively with platform engineers and business partners, • Prior experience in experimentation platforms or A/B testing environments is highly desirable, • Autonomy and accountability to serve as a point of contact for statistical methodologies within the team Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the ___. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is ___. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Introduction This business builds practical AI solutions that actually get used — not experiments that sit on a shelf. As a Senior AI Engineer, you’ll work end-to-end on real client challenges, shaping intelligent systems from early design through to live deployment. What You’ll Be Doing: • Designing, building and deploying production-ready AI and data science solutions, • Training and shipping advanced machine learning, deep learning and reinforcement learning models, • Developing AI systems using Large Language Models, • Building robust data pipelines for extraction, cleaning and transformation using Python and SQL, • Exploring data through ad-hoc analysis and notebooks to uncover insights and opportunities, • Turning complex outputs into clear dashboards using tools like Power BI or Tableau, • Leading client-facing discussions, presentations and written outputs, • Championing best practice across version control, containerisation and cloud deployment, • Supporting proposals and shaping new data science opportunities, • Mentoring junior team members and setting a strong technical standard Main Skills Needed: • Strong background in a quantitative discipline (mathematics, statistics, physics or similar), • Proven experience delivering AI or data science solutions end to end, • Advanced Python skills with libraries such as Pandas, NumPy and scikit-learn, • Hands-on experience with machine learning techniques (e.g. tree-based models, regression), • Practical exposure to deep learning and reinforcement learning approaches, • Experience working with SQL and structured data, • Confidence explaining technical concepts to non-technical stakeholders, • Familiarity with collaborative engineering practices (Git, cloud environments, deployment workflows), • Strong problem-solving ability, organisation and attention to detail What’s in It for You: • Competitive salary with an annual performance bonus, • 26 days’ holiday plus bank holidays — and your birthday off, • £1,000 annual personal development budget, • Private healthcare including mental health support, • Enhanced maternity and paternity leave, • Hybrid working with two days a week in the office, • Opportunity to work from abroad for up to a month each year, • A close-knit, collaborative team that values learning and impact, • Regular socials, office perks and a genuinely supportive culture Call to Action: If you’re nodding along, let’s take the next step. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.

MY client is a leading investment company in Central London they are looking for a Senior Developer Full stack to work on their Technology Core Application Engineering team is looking for an exceptional full-stack developer to deliver highly scalable services and world-class product experiences. You will have opportunities to work on multiple layers of the technology stack, ranging from customer-focused user experience, greenfield middle-tier services, and intelligent data solutions. You will collaborate with team members and other development teams at Russell to build applications and services that are used throughout our global offices. You excel in a highly collaborative, fast-paced, agile software development environment. You will learn and incorporate Russell IT standards, tooling, and practices while working to improve the software code quality, performance, and delivery. The responsibilities of the individual in this position include: Software Development: • Writing high-quality, maintainable code that adheres to coding standards and best practices., • Developing and maintaining software applications, features, and components., • Debugging and fixing software defects, performance issues, and other technical problems., • Designing and implementing software solutions that meet project requirements. Architecture and Design: • Participating in the architectural and system design of software projects., • Providing technical leadership and guidance in designing scalable and efficient software solutions., • Reviewing and contributing to the design decisions made by the development team. Collaboration: • Collaborating with cross-functional teams, such as product managers, designers, and quality assurance, to ensure software solutions meet business and user requirements., • Communicating effectively with team members and stakeholders, both in written and verbal form. Problem Solving: • Analysing complex technical problems and proposing effective solutions., • Troubleshooting and resolving issues that may arise during the development and deployment phases. Technology Evaluation: • Staying updated on industry trends and emerging technologies., • Evaluating new tools, libraries, and frameworks to determine their suitability for the project. Code Quality and Documentation: • Maintaining and improving the overall codebase and ensuring code is well-documented., • Implementing and enforcing coding standards, code reviews, and best practices. Testing and Quality Assurance: • Writing and maintaining unit tests and automated test suites to ensure software quality., • Collaborating with QA engineers to ensure thorough testing of the software. Project Management: • Estimating project timelines and contributing to project planning., • Tracking and reporting on progress, identifying risks and proposing mitigation strategies. Continuous Learning: • Keeping abreast of industry trends and advancements and continually improving your technical skills. Security and Compliance: • Ensuring that the software adheres to security best practices and complies with relevant regulations or standards. Performance Optimisation: • Identifying and resolving performance bottlenecks in software applications. The successful candidate will have extensive demonstrable skills and experiences including the following • Bachelor’s degree in Computer Science, Mathematics, Statistics, or related Engineering field (or equivalent qualification) is needed., • Significant experience of Software Development is required., • C# (essential), • Web development - ASP.NET MVC, Web APIs, SQL, HTML, CSS, JavaScript (essential), • Angular (Considered as plus), • React (Considered as plus), • Prior experience of working in Finance domain (Investment bank, Asset Management firm, Hedge Fund) is essential., • CFA qualification (considered a plus)., • Experience collaborating with multiple teams, including business unit teams, to deliver solutions through all aspects of the Software Development Life Cycle (SDLC)., • Experience with continuous integration and continuous delivery., • Experience with Git version control preferred., • High proficiency with full stack development skills including UI, web, middle-tier, and database required., • Used to acting as a primary contact for users to address development questions and concerns., • Strong understanding of the Software Development Life Cycle (SDLC) and Agile methodologies., • Proven ability to stay current with emerging technologies as well as with new applications of existing technologies through work experience, academics, or self-study required, • Essential to have prior experience of working in Finance domain (Investment bank, Asset Management firm, Hedge Fund

ML/AI Research Scientists - (Scientist, Senior or Principal) (Algorithm Development) About Nxera Pharma Nxera Pharma is establishing a new AI enabled discovery initiative to build a high throughput AI and physics driven GPCR discovery engine that augments our world class experimental capabilities and extensive proprietary structural and chemogenomic data assets originating from Heptares Therapeutics. This initiative sits within our newly formed Computational Sciences team alongside Research Informatics, Chem Informatics and Bio Informatics. AI is being deployed across the NxWaveTM platform, trained on the industry’s most extensive proprietary GPCR structure–ligand dataset and paired with our curated chemogenomic library of GPCR focused small molecules. Our mission is to unlock the vast untapped potential of G-protein-coupled receptors (GPCRs) using computational and experimental innovation to design first-in-class therapeutics across metabolic, neurological, immunological, and rare diseases. As part of Nxera’s mission to redefine how new medicines are discovered and to fully leverage advances in AI, quantum mechanics and next generation data integration, we are seeking to hire experienced AI Research Scientists at various levels of experience. The Role We are seeking an AI Senior Scientist with a strong background in algorithm development to expand the AI capabilities that power Nxera’s discovery engine. You will design, implement, and deploy novel algorithms that accelerate the discovery and optimisation of small molecules and biologics targeting complex GPCR systems. This role offers the opportunity to apply your algorithmic expertise at the interface of machine learning, chemistry, and structural biology, with direct impact on our internal pipeline and global collaborations. What You’ll Do Algorithm Design & Development • Develop new AI/ML architectures and computational methods for:, • De novo molecular generation using diffusion models, VAEs, GANs, and reinforcement learning., • Protein–ligand interaction prediction/co-folding via 3D graph neural networks (GNNs) and equivariant transformers., • Conformational landscape modelling and binding free energy prediction using deep physics-informed learning., • Active learning and Bayesian optimisation for iterative compound selection and design. Collaborate & Integrate • Work closely with computational chemists, biophysicists, and experimentalists to embed algorithms within Nxera’s NxWave™ workflows., • Translate algorithmic advances into usable models for hit discovery, virtual screening, and lead optimisation. Implementation & Evaluation • Prototype models using PyTorch, TensorFlow, or JAX., • Validate AI models against experimental datasets and benchmark performance across internal and public datasets., • Optimise algorithms for scalability, interpretability, and real-world application. Innovation & Research • Stay at the forefront of AI in molecular sciences — foundation models, diffusion models, self-supervised learning, generative chemistry., • Contribute to publications, patents, and conferences in AI drug discovery and computational science. What You’ll Bring You are a scientist who thrives at the intersection of machine learning and molecular science — rigorous, creative, and eager to solve the toughest problems in modern drug discovery. Essential Qualifications: • PhD (or equivalent experience) in Computer Science, Computational Chemistry, Applied Mathematics, or related quantitative field., • 3–7 years of experience in developing and applying AI algorithms in biopharma, biotech, or academic research., • Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX)., • Proven track record in algorithm design for molecular or biological data. Desirable: • Experience with graph learning, transformers, or diffusion-based generative models for molecule design., • Solid understanding of structure-based drug design, chemoinformatics, or computational biology., • Knowledge of GPCR biology or protein–ligand interactions., • Familiarity with cloud computing and ML-Ops pipelines., • Contributions to open-source AI or computational chemistry projects. Why Join Nxera Pharma • Lead the evolution of AI-driven molecular discovery in a company built on scientific integrity and purpose., • Work at the nexus of mathematics, machine learning, and molecular biology, redefining how therapeutics are discovered., • Collaborate with world-class researchers and engineers united by a mission to bring precision medicines to patients faster. What’s in it for you? • State-of-the-art R&D centre located in the heart of the Cambridge science cluster - for Cambridge hires, • Competitive compensation package including discretionary cash bonuses, • Eligible for grants of Restricted Stock Units, • 26 days annual leave in addition to public holidays plus the option to purchase an additional 5 days each year, • Employer contribution to pension, • Private Medical Insurance for employees and family and a cash plan for dental and optical reimbursement, • Health and wellbeing benefits including a subsidised individual gym membership, • Income protection to cover long term absences due to ill health, • Group Death in Service equal to 4x basic annual salary At Nxera Pharma, we are passionate about delivering life-changing medicines to patients. We foster an open and welcoming environment where everyone can bring their authentic self to work, harnessing our individual strengths to succeed together. We value our culture rooted in a diverse mix of minds, backgrounds, and abilities, with a deep sense of belonging. For us, inclusiveness is a reflex, not an initiative. We are achieving this through a consistent commitment to fairness, equal opportunity, and equity. Applications should include a CV and covering letter, providing a short description of the background of your interest in the role. Join us at Nxera Pharma — where AI meets biology to transform the future of medicine.

Senior Data Scientist – National Security & Advanced Analytics Location: London / Hybrid | Full-time Salary: Up to £65,000 + Bonus + package Overview A leading digital and analytics consultancy supporting critical public sector and national security programmes is seeking a Senior Data Scientist to join its growing AI capability. This role offers the opportunity to work on complex, high-impact challenges across defence, security and government environments, applying cutting-edge AI and machine learning techniques to real-world problems. You will work across exploratory research, bespoke AI solution development and large-scale data platforms, engaging with both technical and non-technical stakeholders and delivering robust, production-ready analytics. Responsibilities • Act as a senior technical point of contact for AI, data science and statistical expertise across projects and bids, • Lead and contribute to complex AI / ML delivery alongside ML engineers, project managers and client stakeholders, • Scope and shape AI use-cases with customers, translating requirements into delivery roadmaps, • Build, test and deploy machine learning models into cloud-based products and services, • Contribute to bid responses, including research into advanced AI / ML and statistical methods, • Present analytical findings and recommendations to internal teams and external customers, • Mentor and support junior data scientists and graduates, • Promote data science capability across the wider business through knowledge-sharing, blogs, events and presentations Required skills & qualifications • Degree in a quantitative discipline such as mathematics, physics, computer science or similar, • Several years’ experience working as a data scientist in industry or a comparable environment, • Strong knowledge of AI, machine learning and statistical techniques across domains such as NLP, images, audio, graphs, time series and tabular data, • Advanced Python skills with experience using libraries such as pandas, numpy, scikit-learn, PyTorch, transformers, statsmodels or PyMC, • Strong understanding of software and ML engineering best practice (e.g. version control, packaging, model deployment), • Ability to communicate complex technical concepts clearly to non-technical audiences, • Experience working with cloud platforms for training and deploying models, • Strong appreciation of ethics, privacy, security and policy considerations in applied AI, • Eligible for UK Security Clearance and willing to undergo the process Desirable experience • Practical knowledge of AWS services such as Lambda, ECS, Bedrock, S3 or SageMaker, • MLOps and ML engineering tooling (e.g. Docker, MLflow), • Experience working in highly regulated or government environments, • Track record of applying large language models to solve real-world business problems Summary This is a rare opportunity to join a high-calibre AI team working on mission-critical national security and public sector programmes. You will combine deep technical work with stakeholder engagement, influence the direction of AI adoption, and directly contribute to solving some of the UK’s most complex and sensitive challenges — all within a flexible, hybrid working environment that supports long-term career growth. AMC/TRO

This is an exceptional opportunity for a STEM Graduate with a first-class degree to join an esteemed secondary school in Harrow as a Teaching Assistant. If you are a STEM Graduate passionate about science, technology, engineering, or mathematics and inspiring the next genera.