£65000 GBP
Hybrid WORKING
Location: Central London, Greater London - United Kingdom Type: Permanent

Machine Learning Engineer

Gloucester | Up to £60,000 + 10% Bonus + £7,000 DV Allowance

A leading organisation operating within cyber, defence, and national security is seeking a Machine Learning Engineer to join a growing advanced analytics and AI capability.

This is a hands-on engineering role building and deploying ML solutions in highly secure, data-rich environments , where work directly contributes to national-level outcomes.

Why this role?

This is an opportunity to work on real-world, high-impact machine learning systems where security, scale, and performance are critical.

You’ll be:

• Building and deploying machine learning models into production environments
• Working with large, complex datasets in secure infrastructures
• Supporting the development of AI-driven capabilities for mission-critical systems
• Collaborating with engineers, data scientists, and security specialists
• Contributing to the full ML lifecycle from data prep to deployment

What you’ll be doing

• Develop and implement machine learning models and pipelines
• Work with structured and unstructured data at scale
• Deploy models into secure production environments
• Support MLOps practices including CI/CD for ML systems
• Optimise models for performance, accuracy, and reliability
• Work closely with stakeholders to translate requirements into technical solutions

What we’re looking for

• Experience as a Machine Learning Engineer or Data Scientist with production ML exposure
• Strong understanding of ML algorithms, model development, and deployment
• Experience with Python and ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn)
• Familiarity with data pipelines and cloud or on-prem environments
• Understanding of MLOps principles
• Ability to work in secure or regulated environments

Eligibility

• Must be eligible for DV Security Clearance (5+ years UK residency required)

Package

• Up to £60,000 base salary
• 10% bonus
• £7,000 DV allowance
• Full benefits package + career development opportunities

Additional info

• Based in Gloucester (hybrid working available)
• Work in a high-security, mission-critical environment
• Strong focus on training, development, and progression in AI/ML

Contact

Reference: AMC/BCO/SML!1

#brco

Senior Optimisation Consultant (
Overview
A global enterprise is launching a large-scale transformation programme focused on optimising complex asset operations and large-scale workflows. We are seeking senior-level optimisation specialists to work end-to-end on intricate operational challenges, shaping high-impact technical and mathematical solutions.

What youll be doing

• Design and Implement Solutions:Create optimisation models for high-value asset maintenance and large-scale operational planning.
• Model Complex Problems:Address scheduling, routing, and resource allocation challenges under rigorous real-world constraints.
• Strategic Translation:Turn ambiguous business requirements into structured, actionable mathematical models.
• Stakeholder Collaboration:Work closely with cross-functional teams including engineering, data science, and senior operations leadership.
• Drive Decisions:Balance efficiency, cost-effectiveness, and operational feasibility to influence key business outcomes.
• Scale Impact:Support the initial rollout of solutions with the potential to extend frameworks across a wider global group of companies.

What were looking for

• Academic Foundation:Strong background in Operations Research, Optimisation, Applied Mathematics, or a related field.
• Commercial Track Record:Proven experience delivering optimisation solutions in high-stakes commercial environments (e.g., global logistics, supply chain, or complex marketplaces).
• Technical Depth:Deep expertise in techniques such aslinear programming,mixed-integer programming, andcombinatorial optimisation.
• Domain Expertise:Direct experience solving problems related to multi-variable scheduling, routing, or workflow planning.
• Senior Leadership:Ability to own problems end-to-end and influence stakeholders at a senior level.
• Practical Mindset:Comfortable navigating ambiguity and driving toward practical, implementable solutions rather than just theoretical models.

Nice to have

• Experience in heavy-industry maintenance planning or large-scale logistcal/vehicle/fleet/warehouse operations.
• Background in real-time decision systems or large-scale logistics networks.

Interview process

• Initial stakeholder interview.
• Technical assessment.

TRL is a world-leading provider of software and services for the transport and mobility sectors. We are on a mission to create cleaner, more efficient, and universally accessible transportation. We believe that safe, reliable transport should be a right for everyone, regardless of their background. TRL is a diverse and inclusive community of passionate individuals committed to changing the way the world moves. We know that true innovation thrives in an environment where every voice is heard and respected. That's why we offer a diverse and inclusive workplace and flexible working arrangements from day one, ensuring that you can balance your work and life seamlessly, whether through working part-time, flexible hours, hybrid working or job share. Our comprehensive benefits package, competitive salary, 25 days' annual leave, matched pension, life assurance cover, group income protection, healthcare cash back scheme, support for professional memberships and study (and more) is designed to help you thrive personally and professionally. About the Role We are looking for 2 Trials and Innovation Engineers to join the Smart Mobility Living Lab (SMLL) one of the UK's foremost connected and autonomous vehicle testbeds, operating across the Royal Borough of Greenwich. Working closely with TRL's Chief Technologist, you will play a central role in advancing the technical capabilities of the SMLL and in delivering rigorous, evidence-based evaluation of smart mobility technologies in real-world urban environments. This is a rare opportunity to conduct applied research at the intersection of transport engineering, data science, and emerging mobility technologies embedded within an internationally recognised research organisation, and operating at the heart of one of the UK's flagship intelligent transport testbeds. You will be the internal technical lead for the design, set-up, operation, monitoring, and performance assessment of evaluation and technical trials, working in closely with the SMLL trials teams to ensure that trial programmes are executed to the highest standards of scientific rigour and operational safety. From time to time, you may also be called upon to contribute to wider TRL projects aligned with your expertise. The positions are based at the SMLL facility in Woolwich, London, and we welcome flexible and hybrid working arrangements. The position will involve around 2-3 days per week based at Woolwich (during busy periods this may increase depending on business requirements so some flexibility is required). Key Duties and Responsibilities Work with the Chief Technologist to develop the technical capabilities of the Smart Mobility Living Lab, including contributing to the design and continuous improvement of its sensing, communications, data infrastructure, and evaluation frameworks. Act as the primary internal technical point of contact for smart mobility trials taking ownership of trial set-up, operational readiness, live monitoring, and post-trial performance evaluation. Collaborate with the SMLL trials teams to ensure that connected and automated mobility trials are conducted safely, efficiently, and in accordance with agreed protocols, data management plans, and regulatory requirements. Design and implement data collection, processing, and analysis pipelines to support quantitative and qualitative evaluation of trial outcomes, producing high-quality technical reports and research outputs. Contribute to the development of the SMLL's research portfolio, including supporting bid development, stakeholder engagement, and the dissemination of findings through academic publications and industry forums. Provide technical support to other TRL business projects as required, applying relevant expertise across the broader transport research and technology portfolio. Skills and Experience Essential A Degree or Masters Degree in a relevant subject (but not limited to) transport engineering, electrical and electronic engineering, computer science, data science, robotics, or a closely related field. If you are a recent graduate we will be looking for relevant experience. Demonstrable experience in experimental design and the rigorous evaluation of technical systems in real-world or semi-controlled environments. Strong analytical and data science skills, including proficiency in Python or equivalent, and experience with data collection, processing, and statistical analysis. Excellent written and verbal communication skills, with the ability to produce clear technical documentation and present findings to both specialist and non-specialist audiences. Ability to work collaboratively within multi-disciplinary project teams and to manage competing priorities in a dynamic research environment. Desirable A PhD (or equivalent experience) in a relevant discipline, including (but not limited to) transport engineering, electrical and electronic engineering, computer science, data science, robotics, or a closely related field. Candidates who are near completion of their doctorate will be considered Experience working with connected and/or automated vehicle systems, intelligent transport systems (ITS), or urban mobility technologies. Familiarity with sensing and communications technologies relevant to smart mobility (e.g. GNSS, LiDAR, V2X, 5G/C-V2X, RSU/OBU systems). Experience with real-time data platforms, edge computing, or cloud-based data infrastructure (e.g. Azure, AKS). Knowledge of UK and European ITS standards and the regulatory landscape for connected and automated mobility trials. Experience contributing to funded research projects and/or a track record of academic publication. If you are ready to bring your research skills and technical curiosity to one of the UK's most exciting smart mobility programmes and to see your work applied directly to the streets of London we encourage you to apply today.

Principal Engineer / Hands-on Technical Lead

Permanent | £80,000 - £100,000 | South East (Hybrid)
SC clearance required or eligible

We are seeking a Principal Engineer to take ownership of technical delivery for Defence programmes. The role focuses on building AI-enabled capabilities in secure, air-gapped environments, combining hands-on software engineering with technical leadership to deliver high-assurance solutions.

You’ll be working on some of the most exciting projects within Defence AI and LLM generation and deployment, delivering and integrating core products and working with the customers to build best in class systems for mission decisions.

Key Responsibilities

• Lead day-to-day technical delivery on Defence programmes
• Make architecture and design decisions for deployments into classified environments
• Write production code, conduct code reviews, and set engineering standards
• Translate programme requirements into technical plans, sprints, and deliverables
• Work closely with Defence stakeholders, delivery managers, and end users on site
• Manage technical risk, dependencies, and integration points across programme workstreams
• Mentor and develop engineers within the team
• Contribute to technical proposals, bids, and architecture documentation
• Support release management and deployment in air-gapped environments

Skills & Experience

• Significant experience as a senior or lead engineer delivering complex software in secure or regulated environments
• Strong ability to articulate architecture and integration concerns clearly
• Proficiency in Python and/or TypeScript (core stack)
• Familiarity with AI/ML integration patterns (model serving, RAG pipelines, vector databases)
• Understanding of secure development practices
• Experience working in fast-paced, scaling organisations
• UK-based with willingness to travel to sites as required
• Hold or eligible for DV clearance

This is a high-impact role delivering nationally significant defence programmes with flexible hybrid working in the South East.

Backend Python Developer (AI) - Remote - UK - excellent opportunity to join this innovative and fast-growing AI tech. organisation!

Skills/experience

• 2+ years solid commercialPythoncoding experience (backend, API development would be great).
• Good understanding ofDocker, Kubernetes, and scalable distributed systems.
• An Agile mindset and Experience working in agile teams, usingGithubfor CI/CD, branching, pull requests, and automated testing.

Nice to have:

• Comfortable withVS Code, ideally with AI coding tools like Copilot or VS Code agents.
• Understanding/experience of cloud-native patterns, and scalable architecture.
• Experience with Azures native AI stack (AI Foundry,AI Search,Cosmos DB,AKS).
• Interest in experimenting with new AI frameworks and tools.

Role

• Code back end solutions confidently inPython,design and implement scalable architecture using cloud-native tools.
• Build and deploy AI-first features usingAzure AI Foundry, Docker and AKS.
• UseVisual Studio Code(ideally with GitHub Copilot or similar AI coding assistants)
• Collaborate in a tight feedback loop:branch, commit, pull, test, ship all throughGithub.
• Write unit tests and ship quality code, not just quick fixes.
• Participate in sprints and daily stand-ups

Why join

• An excellent opportunity to join an incredible team, organisation - work lean, iterate fast, and learn quickly - perfect role for a Python Back-end Developer with an Agile mindset who is curious, flexible, collaborative, unafraid to try new things and help design and build their AI platform.

£120,000 - 200,000 GBP

Onsite WORKING

Location: City Of London, Central London, Greater London - United Kingdom Type: Permanent

My client is a top-tier quantitative hedge fund headquartered in London renowned for its data-driven approach and innovative trading strategies. We are currently looking for an experienced Quantitative Researcher to join the Systematic Trading team.

This team designs, builds, and maintains fully systematic strategies operating across a variety of global markets and trading frequencies.

Key Responsibilities

• Analyse vast and complex datasets using advanced statistical methods to uncover actionable insights.
• Research, develop, and implement cutting-edge quantitative trading strategies.
• Continuously monitor and improve the performance of existing strategies.
• Develop a deep understanding of global market structures and microstructure dynamics.

Requirements

• Advanced academic degree (PhD or Master’s) in a quantitative discipline such as Mathematics, Physics, Computer Science, or Engineering.
• Strong programming skills in at least one core language - Python, C++, or Java.
• Proven experience in quantitative research or systematic trading environments.
• Excellent communication skills and the ability to thrive in a highly collaborative, fast-paced team environment.

What’s on Offer

• Highly competitive compensation package with performance-based bonuses.
• Access to state-of-the-art technology, proprietary tools, and vast datasets.
• A world-class team environment that encourages innovation, ownership, and growth.

Interested in learning more?

Click ‘Apply Now’, or reach out directly to Stephen Kennedy at Anson McCade via LinkedIn for more Information.

£Up to £175,000 GBP

Competitive Bonus

Hybrid WORKING

Location: Central London, Greater London - United Kingdom Type: Permanent

Senior Data Engineer - Commodities & Energy Trading

London | Permanent | Hybrid Working

Our client is a global commodities and energy trading organisation operating an asset-light, highly diversified business model. The firm combines advanced analytics, proprietary technology, and robust risk management to support trading, optimisation, and risk-management decisions across energy and commodities markets.

As a Senior Data Engineer, you will join a highly technical Data, AI & Analytics function responsible for building the data platforms that underpin trading, quantitative research, predictive analytics, and machine-learning use cases. This is a hands-on role with ownership across data ingestion, transformation, storage, and distribution, working closely with Data Scientists, Traders, and technology teams.

You’ll have the opportunity to:

• Build and maintain scalable data pipelines supporting trading and analytics use cases
• Ingest structured and unstructured data from diverse internal and external sources
• Support predictive analytics, systematic trading, and machine-learning workloads
• Partner closely with Data Scientists and Trading teams to deliver high-quality datasets
• Contribute to cloud-native data platforms using modern engineering practices
• Drive improvements in data quality, performance, and self-service capabilities

Your Responsibilities

As a Senior Data Engineer, you will:

• Design and implement data ingestion pipelines using ETL, streaming, scraping, and batch approaches
• Clean, enrich, and transform datasets for analytical and operational consumption
• Persist data across databases, warehouses, and data lakes
• Distribute data internally via APIs, Python packages, and direct querying
• Maintain and enhance production data pipelines and databases
• Support post-processing automation, including analytics, models, and visualisation workflows
• Enable Data Scientists through shared libraries, cloud resources, and documented data access
• Maintain knowledge bases covering data sources, pipelines, and usage

Key Requirements

As a Senior Data Engineer, you should have:

• Strong engineering background in Data Engineering, Computer Science, or similar
• Experience working in commodities, energy trading, or financial markets environments
• Advanced Python skills, including extensive use of Pandas
• Experience with analytical or time-series databases (e.g. Redshift, ClickHouse)
• Hands-on experience with Docker and containerised workloads
• Experience with Git and modern DevOps practices
• Practical experience deploying infrastructure on AWS using IaC (e.g. CDK, CloudFormation)
• A proactive, ownership-driven mindset with strong problem-solving skills

You will gain exposure with:

Working as a Senior Data Engineer, you will gain exposure to:

• Direct collaboration with Traders and quantitative teams
• Cloud-native data platforms supporting real-time and batch processing
• Big-data and distributed processing tools
• AWS services such as S3, Lambda, Athena, EMR, Kinesis, and EC2
• Advanced analytics, visualisation, and data-science workflows
• Emerging technologies across AI and machine learning

Why Join?

• Work on data platforms that directly support trading and optimisation decisions
• Own data engineering solutions end-to-end in a high-impact environment
• Operate in a technically deep, collaborative engineering culture
• Competitive compensation with performance-linked bonus
• Hybrid working model supporting flexibility and collaboration

Interested? Apply now.

Audio Machine Learning Engineer A growing technology team is developing a new generation of intelligent, audio-driven products designed to interpret real-world acoustic environments and generate meaningful insight. As development accelerates, they are seeking an Audio Machine Learning Engineer to shape how sound is analysed, classified, and translated into useful information across edge and cloud platforms. The Opportunity Working alongside embedded, hardware, and software specialists, you will contribute to the full lifecycle of audio intelligence, from dataset strategy and model design through to optimisation and deployment. The role offers genuine ownership and the chance to influence core technology within a product-focused engineering environment. Required: Core experience Strong grounding in audio machine learning or applied signal processing
Experience training and evaluating models using modern ML tooling
Awareness of real-world acoustic challenges such as noise, reverberation, and variability
Comfort working in a small, fast-moving engineering team
Likely a PhD or MSc + some industry experience
Beneficial Edge or embedded ML optimisation
Audio feature extraction or DSP knowledge
Postgraduate study in a relevant technical discipline
Experience with sensing, monitoring, or real-world data systems

Job description:

• Help traders to analyze and visualize their trading activities
• Work with trading and engineering to prototype, test, and integrate pricing and quoting models
• Contribute to core trading infrastructure: data ingestion, analytics, and monitoring
• Perform empirical research, back testing, and performance analysis using historical and real-time trading data
• Design, develop, and maintain user-friendly interfaces (UIs) for our analytical, monitoring and control applications
• Use AI and modern ML tools (including LLMs) to accelerate development, improve prediction, and enrich tooling

Requirements:

• Undergraduate or Graduate Degree in Computer Science, Engineering, or a related field
• At least 3 years or more of experience in software development, ideally in a high-paced trading environment
• Strong software engineering skills in python and typescript/React.js with experience writing robust, performant and scalable code
• Self-driven, motivated, responsible and highly responsive individual
• Ability to work effectively in a fast-paced trading environment
• Able to deliver working projects and solutions effectively and quickly
• Basic understanding of financial markets and trading workflows
• Able to balance theory with practical implementation under real-time constraints

Preferred / Desirable Experience

• Familiarity with crypto, FX, or futures trading and market making
• Familiarity with pricing models and risk analytics
• Understanding of order book dynamics, liquidity provision, and latency-sensitive systems
• Practical experience with data analysis, time series, and statistical learning
• Hands-on experience in a trading firm, hedge fund, or market-making environment, ideally with exposure to traders or risk managers
• Exposure to cloud computing, containers (Docker), or distributed systems
• Working knowledge of machine learning, AI assistants, and/or LLM integration for code generation, data summarization, or signal extraction

Wishes:

If you have experience/background working in the area of gaming/gambling this is highly preferred.

Senior Mobile Engineer (Flutter)

North London (Hybrid- 4 days onsite)

£100,000-£135,000 + Generous Equity + Strong Package

Series A | High-Growth Tech

We’re partnered with one of Europe’s fastest-scaling technology start-ups, fresh off a major Series A raise and building at extraordinary pace.

This is not a typical mobile feature delivery role. This is an opportunity to help redefine how goods move in the digital economy- working at the intersection of mobile engineering, machine learning, and real-world operational systems.

The Team

• Close to 100 people globally and will be looking to almost double the team in 2026
• More than half in Engineering, Product and Data
• Culture built around experimentation, high standards and rapid feedback loops
• You’ll work closely with senior engineering leadership who have previously scaled large distributed systems and ML-driven platforms at global technology companies.

Tech Environment

• Cross-platform Flutter applications
• Will consider anyone from a native iOS/Android background who is happy to work in Flutter
• Backend systems built in Python, Rust and TypeScript
• Cloud-native architecture on GCP (BigQuery, Cloud Run)
• Extensive use of ML modelling and LLM inference
• Robotics and IoT integrations across operational workflows

What You’ll Do

• Take ownership of mobile engineering end-to-end using Flutter
• Work across the broader stack, from mobile through to data infrastructure
• Solve complex real-world problems (for example, computer vision for proof-of-delivery validation)
• Spend time in the field to understand how your technology impacts couriers and customers
• Ship quickly, iterate frequently, and continuously improve performance and user experience

This is a high-autonomy, high-impact role suited to engineers who thrive in fast-moving, intellectually rigorous environments.

Who This Role Suits

You are likely to succeed here if you:

• Enjoy working in a fast paced environment (Startup/scaleup vibes)
• Define problems clearly and measure impact rigorously
• Enjoy tackling complex technical challenges
• Move quickly and embrace iteration
• Take ownership from start to finish
• Value high standards and candid feedback
• Want to build technology that operates in the real world, not just on a screen

Package

• £100k-£135k base salary (depending on experience)
• Very competitive equity package with annual top ups
• Bupa private medical
• Gym Membership
• 25 days of holiday
• Enhanced Parental Leave
• Fully paid for team socials
• Hybrid working (4 days onsite in North London)
• Opportunity to join at a critical scale-up inflection point

Hiring Process (Typically Completed Within 1-2 weeks

• 30-minute Talent Screening
• 1-hour tech interview
• 2-hour design interview
• 1-hour team & culture fit interview

If you are a Senior Mobile Engineer looking to build apps that reshape an industry, this is a rare opportunity.

Python Developer (Mid-Level)

We’re looking for a Python Developer to join our analytics-focused backend team. You’ll help build and evolve a SaaS platform that handles complex data and performance-critical analytics in a real-world, domain-rich environment.

This role is ideal if you enjoy solving difficult technical problems, working with large datasets, and taking ownership of how backend systems are designed and improved.

The Role

You’ll work primarily on Python services that power analytical workflows, with a strong focus on performance, scalability, and maintainability. You’ll have the opportunity to shape how Python is used across the platform and how it integrates with an existing C# backend. C# is a desirable requirement, do not worry!

You’ll also get involved in tackling performance bottlenecks, improving legacy code where needed, and supporting other developers through code reviews and knowledge sharing. This is a mid-level role, well-suited to someone looking to deepen their engineering skills while working closely with analysts and domain experts.

What You’ll Do

• Build and maintain high-quality Python features for data-heavy analytical workflows
• Design and improve integration between Python and C# services
• Optimise complex data-processing tasks, including working with large datasets (4GB+)
• Review code and support the development of other team members
• Apply and promote good software-engineering practices (testing, CI/CD, clean design)
• Collaborate with analysts, data scientists, and product stakeholders
• Contribute ideas and explorations around tools, technologies, and improvements

Skills & Experience (Essential)

• Strong experience developing production-grade Python applications
• Proven ability to work with large datasets and performance-critical workloads
• Ability to demonstrate how to structure and implement complex Python data-processing workflows within a cloud environment, including considerations around scalability, orchestration, monitoring, and reliability
• Familiarity with Azure PaaS/SaaS services such as Azure Functions, Batch, Blob/Table/Queue Storage, and Cosmos DB
• Solid understanding of software-engineering best practices, including automated testing, CI/CD pipelines, version control, and object-oriented design
• Proactive, problem-solving mindset with a focus on performance, robustness, and user experience

ABOUT US:

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.

LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG’s ticker symbol is LSEG.

OUR PEOPLE:

People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.

We know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers.

ROLE PURPOSE:

Help bring our AI Capability Model to life by turning principles into practical, scalable ways of working. You will enable teams to build secure, responsible, resilient, and cost-effective AI solutions by creating clear guidance and reusable foundations, and by supporting lean, continuous assurance that helps teams deliver with confidence.

ROLE SUMMARY:
This role operates across the AI Governance , AI Engineering and our center of excellence supporting our business objectives with robust and manageable AI solutions.

WHAT YOU’LL BE DOING:

You will turn our AI architecture and governance principles into practical enablers for teams-creating the clarity, reusable foundations, and lean assurance needed to support high-quality delivery, steady velocity, and responsible growth across the organisation.

A) Turn principles into adoptable practice (Enablement)

• Translate high-level architecture and governance guidance into practical, reusable assets that support consistent, scalable delivery.
• Contribute to defining enabling services that help teams deliver and operate AI solutions safely and reliably.
• Develop and maintain a library of reference artefacts (templates, examples, checklists) that support effective adoption of recommended practices.
• Lead and facilitate the AI engineering knowledge and community activities-curating content, running learning sessions, and integrating feedback into improved guidance.
• Review and adapt industry best practices, working with internal experts to publish reusable patterns and architectural recommendations.

B) Make assurance practical, lean, and continuous (Controls)

• Support and refine a streamlined, evidence-based assurance approach that provides clear visibility across AI initiatives and their lifecycle.
• Promote and enable automation of key checks within delivery workflows to help teams meet governance expectations efficiently.
• Collaborate with architecture, governance, risk, security, product, and finance teams to align standards and close enablement gaps.
• Ensure engineering practices remain aligned with relevant risk and compliance frameworks through clear, auditable evidence.

C) Curate reference assets for speed and consistency

• Develop and evolve technology and project reference materials that support consistent assessment of fit, risks, and operating considerations.
• Define and maintain criteria for reusable or endorsed patterns to support clarity and consistency across teams.

D) Keep us connected to the market

• Monitor emerging industry practices, standards, and partner activity to maintain an outside-in perspective.
• Translate external insights into practical internal guidance and reusable artefacts for teams.

OUTCOMES YOU’LL DRIVE:

• AI initiatives are focused, prioritised, and progress efficiently through a streamlined intake and assessment flow.
• Solutions are secure, resilient, and well-governed, with risks managed early and proportionately.
• Engineering teams adopt practical standards and reusable patterns, improving quality and delivery velocity.
• AI systems are observable and reliable in production, with behaviour that remains stable over time.
• AI resources are used efficiently and responsibly, supporting sustainable and cost-aware operation.
• AI development reflects responsible and ethical principles, including fairness, transparency, and strong data stewardship.

WHAT YOU’LL BRING:

• Significant experience in cloud engineering, DevOps, or software delivery (Azure, AWS, or GCP), with a track record of incremental, agile delivery.
• Hands-on development capability, including practical experience with Python and modern AI frameworks (e.g., LangChain, Semantic Kernel, or similar) to build or support agents, chat interfaces, or retrieval-augmented solutions.
• Experience applying software engineering fundamentals: writing tests, structuring user stories, managing iterative releases, and working with CI/CD pipelines.
• Experience in AI/ML, software, or platform engineering, with exposure to automated testing and infrastructure-as-code or policy-as-code.
• Working knowledge of AI observability (logs, metrics, traces, behavioural signals) and practical methods to evaluate or improve AI system behaviour.
• Familiarity with AI risk and governance frameworks (e.g., NIST AI RMF or similar) and the ability to align engineering practices with evidence packs.
• Experience creating or curating engineering enablement assets such as templates, patterns, playbooks, or reusable guidance.
• Strong communication skills, able to explain complex concepts clearly and engage confidently with both technical and non-technical audiences.
• Ability to collaborate across diverse domains-architecture, security, privacy, product, engineering, and FinOps-using an inclusive and outcome-focused approach.
• Comfort facilitating knowledge-sharing sessions, clinics, or community forums.

Nice to have:

• Experience contributing to governance or assurance processes, including lightweight control models, intake or assessment flows, or dashboard-based visibility.
• Exposure to AI FinOps, such as cost-aware model selection, unit economics, or prompt-efficiency practices.
• Experience with MLOps or AI delivery tooling, or with AI-specific observability systems.
• Participation in industry communities or standards bodies, with the ability to translate external practice into internal adoption.
• Experience facilitating workshops or engineering enablement events.
• Familiarity with AI-specific challenges, such as explainability, drift, data lineage, or safe release practices.
• Understanding of operational quality practices, such as retrieval wiring, guardrails, or policy-as-code patterns.

WAYS OF WORKING:

• Operates with a bias toward automation, self-service, and continuous improvement, using data-driven decisions and a growth mindset.
• Acts in a lean, risk-aware, and responsible way, ensuring trusted outcomes for the business, customers, and society.

Career Stage:
Director

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you’re ready to take your career to the next level and make a significant impact, we’d love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject .

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

About Man Group

Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent.

Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at

* As at 31 December 2025

The Role

As a Quant Developer at Man Group you will be part of one of our flagship teams in Man’s systematic trading arm - Man AHL. The team works hand-in-hand with Quant Researchers focusing on equity market neutral models. Your challenges will be varied, and will involve building new alphas and new trading strategies.

The Team

Quant Developers at Man Group are all part of our broader technology team, members of a group of over sixty individuals representing eighteen nationalities. We have varied backgrounds including Computer Science, Mathematics, Physics, Engineering – even Classics - but what unifies us is a passion for technology and writing high-quality code.

Our developers are organised into small cross-functional teams, with our engineering roles broadly of two kinds: “Quant Platform Developers” otherwise known as our “Core Techs”, and “Quant Developers” which we often refer to as “Sector Techs”. We use the term “Sector Tech” because some of our teams are aligned with a particular asset class or market sector. People often rotate teams in order to learn more about our system, as well as find the position that best matches their interests.

Our Technology

Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the open-source libraries we use extensively. We implement the systems that require the highest data throughput in Java and C++.

We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker and Kubernetes for containerisation, OpenStack for our private cloud, Ansible and Terraform for architecture automation, and Slack for internal communication. We heavily utilise ArcticDB () our in-house developed DataFrame Database. Our technology list is never static: we constantly evaluate new tools and libraries.

Technology and Business Skills

At AHL we strive to hire only the brightest and best and most highly skilled and passionate technologists.

Essential

• Exceptional technology skills; recognised by your peers as an expert in your domain
• A keen interest and understanding of financial markets and instruments
• A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches
• Strong knowledge of Python
• Proficient on Linux platforms with knowledge of various scripting languages
• Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas
• Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms

Advantageous

• Experience of front office quantitative software development e.g. in a hedge fund or investment bank
• Experience of web based development and visualisation technology for portraying large and complex data sets and relationships
• Experience of machine learning techniques, natural language processing and related libraries and frameworks e.g. scikit-learn, Tensorflow

Personal Attributes

• Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university
• Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others
• Demonstrable passion for technology e.g. personal projects, open-source involvement
• Intellectually robust with a keenly analytic approach to problem solving
• Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities
• Focused on delivering value to the business with relentless efforts to improve process
• Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike
• Confident communicator; able to argue a point concisely and deal positively with conflicting views

Working Here

Man Group has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community.

• We host and sponsor London’s PyData and Machine Learning Meetups
• We open-source some of our technology. See
• We regularly talk at leading industry conferences, and tweet about relevant technology and how we’re using it. See

We’re fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We believe that agile working allows us to deliver the best business outcomes for our clients and investors as well as having a positive impact on life / work balance and the wellbeing of our staff. We are simultaneously committed to “levelling the playing field” and believe that agile working promotes inclusivity across teams, regions and business units.

• We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunches
• We have annual away days and off-sites for the whole team
• As well as PC’s and Macs, in our office you’ll also find numerous pieces of cool tech such as light cubes and 3D printers, guitars, ping-pong and table-football, and a piano

We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications.

Inclusion, Work-Life Balance and Benefits at Man Group
You’ll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you’ll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at .

You’ll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you’ll receive two annual ‘Mankind’ days of paid leave for community volunteering.

Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance.

Equal Employment Opportunity Policy

Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws.

Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact .

Data Scientist - Operational & Optimisation-Focused AI £700+ per day | Inside IR35 | Long-term programme (2-3 years) I'm currently looking for Data Scientists to join a highly capable, collaborative team working on real operational problems at serious scale within a well‑established, commercially driven organisation.This is a role for someone who enjoys building things that actually run the business - not experiments that sit on a slide deck. You'll be working on postoptimization, decision‑making problems where the output of your models directly affects cost, performance, and customer outcomes every day. Location & Contract Rate: £700+ per day (Inside IR35, depending on experience) Contract: Rolling 6‑month contracts, with a realistic 2-3 year roadmap of work Working pattern: Hybrid - 2-3 days per week onsite in West London / Paddington area and West Drayton Start: ASAP (subject to onboarding) What the role is really about In this role, you won't be siloed away from the business. You'll be embedded alongside engineers and operational stakeholders, working on problems where data science is central to how decisions are made, not just how performance is reported.You will: Design and build optimisation, predictive, and prescriptive models that support live operational decision‑making Work on problems where multiple constraints, trade‑offs, and dependencies matter (cost, service levels, experience, risk) Take solutions from idea → model → production, and stay involved once they're live Iterate based on real‑world performance and business feedback, not theoretical metrics Explain why a model behaves as it does and help the business trust and use it A good way to think about this role: you are shaping the engine that runs day‑to‑day operations, not creating insights for someone else to interpret later. I'm particularly keen to speak to you if your background includes: Hands‑on data science using Python, ML Frameworks and modern tooling Experience with optimisation, simulation, machine learning, or advanced analytics applied to real systems Clear examples of models you've personally built and put into production, not just prototyped Working with engineers to deploy, monitor, and improve solutions over time Operating in commercial, corporate environments where decisions have financial and operational consequences Experience in supply chain, logistics, asset management, scheduling, or similar domains is useful - but what really matters is how you think about operational problems. Why this role is worth a conversation The work is meaty, operational, and genuinely impactful You'll be surrounded by people who understand and value good data science There's long‑term stability (not a short "fire‑and‑forget" contract) You get to see your work run at scale, improve, and evolve A quick but important note on CVs This is a specialist role, and CVs that read as academic, R&D‑only, or proof‑of‑concept‑focused tend not to land well. Please make sure your CV clearly shows: What you personally built How it was used in production What measurable impact it had on the business CVs that make that clear tend to stand out very quickly. If you enjoy solving hard, real‑world problems and want your models to matter, I think this is well worth exploring.If you'd like to talk it through, I'd be very happy to have a conversation. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview
Quant Developer - Trading Analytics - Equity Derivatives Tech
Engineer the future of global finance. At Citi, our Tech team doesn’t just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech.

Equities Tech
Equities Technology at Citi is undertaking a bold, multi-year transformation to build a best-in-class global platform across execution, prime, clearing and cross-product margining. We are re-engineering our technology estate to achieve world-leading performance and resiliency, enabling new capabilities in advanced execution, global market connectivity, and modernised post-trade, clearing and margin processes. Our ambition is to deliver a seamlessly integrated, highly automated platform that drives outstanding client outcomes and accelerates growth across our global franchise. As part of the team, you’ll collaborate closely with high-calibre engineers and deeply engaged business and product partners - working together to define and deliver the next generation of Equities technology at Citi.

The Team
Citi’s Equities Technology organisation is investing in front-office quantitative development to support the Derivatives Flow, Delta 1, and Exotics desks. We are hiring a hands-on quantitative developer to build data-driven, model-led trading analytics and desk tooling for Sales, Trading, and Quant teams, supporting pricing, signal generation, backtesting, risk analysis, and real-time market insight.

Role Overview

• Partner with traders, quants, and structurers to deliver production-grade models, workflows and front-office applications.
• Build real-time pricing, risk, and market-data capabilities for positions, Greeks, P&L, exposures, and execution monitoring.
• Develop data pipelines and services for market and trade data, supporting idea generation, volatility and flow analysis, basket and index insights, and hedging.
• Strengthen the desk technology stack with reusable libraries, APIs, and robust engineering practices.
• Optimise quantitative applications for performance, scalability, and reliability.

Skills required:

• Strong experience with the Python data engineering stack, including Polars, Parquet, FastAPI, Jupyter, Airflow, Streamlit, and Ray.
• Experience with high-performance data stores and query engines such as Trino and KDB.
• Experience with financial products such as equities, options, and futures.
• Demonstrable experience with agentic frameworks for software development and AI-native solutions using context-engineering techniques.
• A degree in quantitative discipline such as Engineering, Applied Mathematics, Physics, Software Engineering.

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

What we’ll provide you
By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

• 27 days annual leave (plus bank holidays)
• A discretional annual performance related bonus
• Private Medical Care & Life Insurance
• Employee Assistance Program
• Pension Plan
• Paid Parental Leave
• Special discounts for employees, family, and friends
• Access to an array of learning and development resources

Visit our About Us | Culture, Values & Benefits page to learn more.
Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.

Job Family Group:
Technology ------------------------------------------------------
Job Family:
Applications Development ------------------------------------------------------
Time Type:
Full time ------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi .

View Citi’s EEO Policy Statement and the Know Your Rights poster.

Salary: up to £200k base + bonus

Summary

Lively, positive spirit of a start-up, with the stability of a longer-established player, this leading quant firm is looking for a dynamic engineer skilled in C++ on Linux to join one of their growing quant trading teams.

You’ll collaborate extensively with traders and technologists to evolve, improve and maintain all elements of the team’s infrastructure, including execution, signal generation, model building and back testing.

Developers here are highly valued and well-rewarded for hard work; technology is viewed as crucial to the firm’s continued success. The successful C++ Software Engineer will be passionate about development, and enjoy solving difficult technical problems in a fast-paced and energetic environment. In return, you can expect exposure to a wide range of interesting and challenging problems involving high performance computing, software design and big data.

Requirements

• Strong C / C++ development experience, including low level and high level optimization
• Fantastic instincts around performance vs simplicity tradeoffs, engineering for maintainability, extensibility and debuggability
• Solid experience of working on a Linux platform
• Self-starter who can work independently and is able to drive a project from inception through delivery
• Minimum bachelor’s degree in Computer Science/Engineering
• Bonus points for trading industry experience and/or Python skills

NB: Please don’t apply if you’re a fresh graduate.

Benefits

• Competitive base salary & bonus
• Enormous opportunity to grow, learn and have a significant business impact
• Contributions are rewarded; career progression supported
• Substantial benefits package, including private medical, paid parental leave, group life assurance & parking/cycle schemes

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If this sounds like you or you would like to know more, please get in touch:

Andy Stirling-Martin
andy@oxfordknight.co.uk
020 3137 9579
linkedin.com/in/andrew-stirling-martin-7664a946

My client is a leading systematic trading firm that operates in all liquid asset across most major markets. They are looking for a highly experienced developer to join one of their core teams responsible for building and enhancing key components that directly affect their algorithmic trading and data management systems.

This role is an excellent opportunity to work directly with Traders & Researchers on bespoke tooling and their most immediate requirements whilst leveraging state-of-the-art tools and components.

Requirements:

• 4+ years of experience in financial services from either a tier-1 investment bank or fund
• Excellent C++ and Python experience on Linux
• Knowledge of real-time systems, high performance computing and quantitative applications

Nice to have:

• Experience working with more than one asset class
• Experience working within a mature CI/CD process, DevOps experience

Benefits:

• Competitive salary and bonus structure - market-leading
• Hybrid working arrangements
• Relaxed culture and no red-tape
• Opportunity to work on business-critical, complex problems

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If you think you are a strong candidate for the role and would like further info, please contact:

Tom Brown
tom.brown@oxfordknight.co.uk
+44 (0)20 4576 5966
linkedin.com/in/thomas-brown-196a29103

Salary: Competitive

Location: London and Singapore

Summary:

World-famous, global trading firm applying cutting-edge research to financial markets. Their culture is unique; they look for engineers who are fearless in their pursuit of innovation which requires creativity, intellectual honesty and competitiveness.

Their trading teams are comprised of dynamic groups of traders, quant researchers and engineers. In this role, you will design, implement and optimise trading algorithms using C++.

Requirements:

• 5+ years of commercial C++ experience
• Software engineering background with deep experience in C++
• Top 50 global university degree in Computer Science/ AI (or a related field)
• Expertise in algorithmic trading systems
• Nice to have: experience with market order execution algorithms, large-scale big data processing, modelling systems on high performance computing cluster, etc.

Benefits:

• Dress down
• Fully catered (breakfast, lunch and snacks)
• Onsite gym
• Global health, dental and vision insurance
• Generous parental leave

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If you think you are a strong match for this role, please don’t hesitate to get in touch!

Kishan Patel
kishan.patel@oxfordknight.co.uk
+44 (0)20 3137 9572
linkedin.com/in/kishan-patel-4029aa8b

Salary: Up to £200k + bonus

Summary

Lively, positive spirit of a start-up, with the stability of a longer-established player, this leading quant firm is looking for a dynamic quant developer skilled in Python development to join one of their growing trading teams.

You’ll collaborate extensively with researchers and technologists to evolve, improve and maintain all elements of the team’s infrastructure, including execution, signal generation, model building and backtesting.

Developers here are highly valued and well-rewarded for hard work; technology is viewed as crucial to the firm’s continued success. The successful Python QD will be passionate about software, and enjoy solving difficult technical problems in a fast-paced and energetic environment. In return, you can expect a wide range of interesting and challenging problems involving data extraction, quant development, trading optimization and software design, plus exposure to cool cutting-edge technologies.

Requirements

• Strong Python development experience
• Solid analytical problem-solving skills, including debugging & code comprehension
• Self-starter who can work independently and is able to drive a project from inception through delivery
• Minimum bachelor’s degree in Computer Science (or related)
• Bonus points for trading industry experience and/or C++ skills

NB: Please don’t apply if you’re a fresh graduate.

Benefits

• Competitive base salary & bonus
• Enormous opportunity to grow, learn and have a significant business impact
• Contributions are rewarded; career progression supported
• Substantial benefits package, including private medical, paid parental leave, group life assurance & parking/cycle schemes

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If this sounds like you, or you’d like to know more, please get in touch:

Andy Stirling-Martin
andy@oxfordknight.co.uk
020 3137 9579
linkedin.com/in/andrew-stirling-martin-7664a946

Salary: Competitive

Location: Hong Kong and London

Summary:

World-famous, global trading firm with offices in New York, London and Hong Kong. This firm trades a wide range of financial products including ETFs, Equities, Futures, Commodities, Options, Bonds, Currencies. Billions of dollars’ worth of transactions flow through their systems every day and whilst their systems are large, their teams are not, which provides an environment to make a huge impact.

Machine Learning is a critical pillar of this business and in this role, you will build the infrastructure that makes it all possible. You will develop libraries to automate ML workflows, dig into the internals of open-source ML tools and help drive the direction of an ML platform that is used daily by traders and researchers across the whole company. You must be an accomplished Software Engineer with deep experience in machine learning techniques and the software systems that power them.

Requirements:

• 5+ years of commercial experience
• Software engineering background with deep experience in ML
• Top 50 global university degree in Computer Science/ AI (or a related field)
• Large-scale distributed systems
• Note: no previous finance experience required

Benefits:

• Flexible/hybrid working
• Dress down
• Fully catered (breakfast, lunch and dinner)
• Onsite gym
• Global health, dental and vision insurance

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If you think you are a strong match for this role, please don’t hesitate to get in touch!

Kishan Patel
kishan.patel@oxfordknight.co.uk
+44 (0)20 3137 9572
linkedin.com/in/kishan-patel-4029aa8b

Salary: up to £200k base + bonus

Summary

Lively, positive spirit of a start-up, with the stability of a longer-established player, this leading quant fund is looking for a highly proactive C++/Python engineer to join their rapidly expanding crypto division as they help shape the future of the industry.

In this role, your work will include building and optimizing trading strategies; researching new protocols; researching new data sources; designing and improving our research and trading systems; and collaborating with others inside and outside of the team to advance the team’s dual mission of being the top crypto trader in the world and a major contributor in the crypto ecosystem.

The ideal candidate will be a hybrid quant/dev with high personal coding standards. You’ll leverage existing utilities and open-source software effectively, and make decisions to optimize the team’s productivity, not afraid to take the longer road if it makes the code more extensible/testable.

Requirements

• At least 2+ years of programming experience in C++/Python
• Excellent understanding of Unix and git
• Proponent of cleanly architected systems
• Ability to work creatively and independently on long-term projects
• Bonus points for distributed systems experience
• Interest in open-source software and/or cryptocurrencies is advantageous

NB: Please don’t apply if you’re a fresh graduate.

Benefits

• Competitive base salary & bonus
• Enormous opportunity to grow, learn and have a significant business impact
• Contributions are rewarded; career progression supported
• Substantial benefits package, including private medical, paid parental leave, group life assurance & parking/cycle schemes

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If this sounds like you or you would like to know more, please get in touch:

Andy Stirling-Martin
andy@oxfordknight.co.uk
020 3137 9579
linkedin.com/in/andrew-stirling-martin-7664a946