Python Jobs in London

Join a high-impact AI and data science consultancy recognised for delivering exceptional outcomes across National Security, Defence, Space, and government sectors. This is a unique opportunity to work on cutting-edge AI and machine learning projects that make a tangible difference in the UK, supporting critical national security initiatives.

As a Machine Learning Engineer, you will design, develop, and deploy machine learning models that address some of the most complex challenges in national security. You will work in a consultative, hands-on role, collaborating with data scientists, software engineers, product managers, and stakeholders across the full lifecycle, from hypothesis through to production deployment.

Due to the sensitive nature of this work, candidates must be willing to undergo DV (Developed Vetting) security clearance, be sole British nationals, and have not spent more than 29 consecutive days outside the UK in the last 5 years. Please note that this role does not provide visa sponsorship and is not open to applicants on Skilled Worker or Dependent visas.

This role offers the opportunity to deliver real-world impact, working with diverse data types - including text, images, audio, video, and geospatial data - while applying cutting-edge methods in AI, machine learning, and MLOps/LLMOps practices.

You’ll have the opportunity to:

Work alongside leading data scientists, ML engineers, and AI researchers on national security projects
Design, develop, and iterate on machine learning models for traditional ML use cases and GenAI/LLM applications
Explore and implement ML and LLM models on complex, multi-modal datasets
Apply modern MLOps/LLMOps practices, including experiment tracking, versioning, and deployment on cloud platforms
Influence technical direction and best practice in ML and AI engineering
Mentor and support junior engineers and graduates
Engage directly with clients to scope, design, and deliver operationally-ready AI and ML solutions

Key Responsibilities:

Design, develop, and deploy machine learning models for forecasting, classification, anomaly detection, and LLM applications
Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly
Transition validated experiments into production-ready solutions, working closely with other engineers on deployment and monitoring
Build and optimise ML pipelines using cloud-based platforms and experiment tracking tools
Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails
Support production models through monitoring, performance analysis, and continuous improvement
Apply responsible AI practices, including model explainability, fairness, and ethical considerations
Present experiment findings and production outcomes to stakeholders, articulating operational and strategic value
Mentor junior colleagues and share learnings across the team

Key Requirements:

Willingness to undergo DV (Developed Vetting) security clearance
Sole British national with no more than 29 consecutive days outside the UK in the last 5 years
Proven experience as a Machine Learning Engineer or equivalent role
Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow
Strong experience with cloud-based ML deployment (e.g., AWS SageMaker, Lambda, S3)
Knowledge of MLOps/LLMOps tooling (e.g., MLflow, Weights & Biases, Data Version Control)
Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures
Ability to absorb complex scientific and technical concepts and apply them to operational solutions
Strong communication skills for both technical and non-technical stakeholders
Curiosity, adaptability, and a desire to deliver real-world impact

You will gain exposure to:

Advanced ML and LLM methods applied to national security challenges
Deployment of ML models at scale using cloud platforms and MLOps/LLMOps pipelines
A broad range of data types, including text, images, audio, video, and geospatial data
Ethical, privacy, and security considerations in AI/ML applications
High-impact projects with government and defence clients
Mentorship and development opportunities within a diverse, innovative environment

Why Join:

Work on high-impact projects that directly support national security
Gain deep exposure to cutting-edge ML, LLM, and AI technologies
Accelerate your career in a supportive, high-performance consultancy
Be part of a culture that values innovation, collaboration, and engineering excellence

Interested? Apply Now!

Senior Attack Monitoring Analyst, GSOC - London Stock Exchange Group

London Stock Exchange Group

ROLE PROFILE:

The London Stock Exchange Group seeks an experienced, dedicated and driven Senior Attack Monitoring Analyst to join the Global Security Operations team!

ROLE SUMMARY:

LSEGSecurity Operationsis a central function employingpeople, process and technology to continuously monitor and respond to cyber security incidents.

This role is for a Senior Attack Monitoring Analyst for the Global Security Operations Centre (GSOC). The role is responsible for identifying and responding to cyber security incidents and improving the defensive capabilities of the GSOC.

The ideal candidate will have a solid technical background, with a firm understanding of modern attack techniques coupled with knowledge of the typical lifecycle of an attack.

WORKING HOURS:

This role is available in two locations: London and Singapore.

Working hours will follow standard UK business hours (9:00 AM - 6:00 PM GMT) or Singapore hours (preferably 2:00 PM - 10:00 PM SGT). Singapore working hours are flexible and can be adjusted based on candidate availability.

RESPONSIBILITIES:

• Triage security events and employ a methodical and coherent response to security incidents adopting playbooks where necessary.

• Competently operate a chosen SIEM (e.g., Splunk/QRadar/LogRhythm) for incident investigations, or for the development of monitoring dashboards.

• Utilise playbooks, existing knowledge and accurate online resources for guidance when responding to incidents.

• Utilise online resources for researching and collecting threat intelligence to improve the SOC’s abilities to detect cyber-attacks.

• Develop new, or improve existing run books and use cases based on investigations and knowledge of modern attacks.

• Stay up to date with current vulnerabilities, attacks, and countermeasures.

• Identify, respond and remediate cyber events generated through monitoring technologies.

EXPERIENCE:

• Preferred experience with operating or administrating a SIEM (e.g., Splunk/QRadar/LogRhythm).

• Solid understanding of networks including the TCP/IP stack, typical organisation architectures, and common protocols abused by malware.

• Experience in security event analysis & triage, incident handling and root-cause identification.

• Understanding of tools, techniques and procedures that attackers use to compromise organisations, ideally from direct experience.

• Knowledge of cyber security either academically or within corporate environments.

• Ability to work in a fast-paced and demanding environment while remaining calm.

• Strong verbal and written communication and collaboration skills.

• Security industry specific and core technical accreditations such as OSCP, GIAC, CCNA.

• Certification demonstrating SIEM operational competences.

• Proficient with one or more programming languages (e.g., Python, PowerShell, Java, C#).

Career Stage:
Senior Associate

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.

AI Enablement Specialist - Man Group plc

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 Team

Man Group has been at the forefront of applying technology and data science to investment management for over three decades. Today, that legacy is driving a firm-wide AI transformation with over 1,500 employees using our AI platform daily, adoption has reached a critical inflection point and momentum continues to build. We’re now hiring an AI specialist to partner with teams across the business, turning that momentum into tangible, measurable outcomes.

This is not a research role. It’s not a pure engineering role. It’s the person who sits at the intersection of business problems and AI capabilities, and makes things happen. You’ll become an expert in how Man Group operates our products, our processes, our systems, our people and use that knowledge to identify where AI creates the most value, then build it, ship it, and help others do the same.

You’ll work across the entire firm: sitting with a Sales team to understand why an RFP takes 5 days, then building a prototype that gets it to 48 hours. Running a workshop with Legal to map their document review process, then designing an AI workflow that halves the time. Helping a Portfolio Manager understand what Claude Code can do for their research process, then pairing with them to build it.

You’ll shape the role, the approach and help drive strategy.

We’re looking for someone who:

Gets energy from solving other people’s problems, not just their own
Is curious about how a business actually works the messy reality, not the org chart
Can context-switch between a deeply technical conversation and a commercial one in the same meeting
Has the confidence to challenge senior stakeholders constructively and the humility to learn from them
Sees AI as a tool for making people more capable

Role Responsibilities

Accelerate education and engagement

Become the person people come to when they want to understand what’s possible with AI at Man
Run workshops, pair-building sessions, and demos that turn sceptics into users and users into builders
Help leaders in each business unit define their highest-value AI projects and build the skills to deliver them
Create reusable patterns, templates, and playbooks that scale your impact beyond 1:1 engagements

Solve real business problems with AI

Embed with business units to understand their processes, pain points, and opportunities at a detailed level
Rapidly prototype AI-powered solutions using Python, LLM APIs (Anthropic Claude, OpenAI), and the MAIA platform (our internal platform)
Build end-to-end: from scoping the problem with stakeholders through to a working tool they can use
Focus on time-to-value: ship early, iterate fast, measure outcomes

Drive process transformation

Map end-to-end business processes (client lifecycle, reporting chains, operational workflows) and identify where AI creates the highest leverage
Design AI-first workflows that don’t just automate the existing process but reimagine it
Work with the strategy team to deliver cross-cutting improvements that benefit multiple business units
Build the business case: define metrics, measure before and after, present outcomes to leadership

Build the AI product knowledge

Become an expert in MAIA’s capabilities: what it can do today, what’s on the roadmap, where the gaps are
Stay current on AI tooling, techniques, and best practices and translate them into practical applications for Man
Bridge between the AI engineering team (who build the platform) and the business (who use it) translating requirements in both directions
Contribute to the platform: build skills, integrations, and workflows that become part of MAIA’s shared capability

Key Competencies

Essential

5–8 years’ experience in roles that combined technical delivery with business problem-solving. Could be: AI/ML engineering with client-facing work, management consulting with a technical edge, product management for AI/data products, or solutions engineering at a technology company.
Python skills. You don’t need to be a systems engineer, but you must be able to build prototypes, work with APIs, process data and help design features.
Hands-on experience with LLMs. You’ve built things with Claude, GPT, or equivalent. You understand prompting, RAG, tool use, agents, and the practical limitations. You know when AI is the right tool and when it isn’t.
Exceptional stakeholder skills. You can sit with a senior portfolio manager, a head of operations, or a sales lead and earn their trust. You listen before you solve. You communicate clearly to technical and non-technical audiences.
Bias for action. You’d rather ship a working prototype in a week than a perfect specification in a month. You’re comfortable operating with ambiguity and making progress without waiting for permission.
Systems thinking. You can look at a business process and see the system: inputs, transformations, outputs, feedback loops, bottlenecks. You think in workflows, not features.

Advantageous

Financial services experience particularly asset management, investment operations, or capital markets
Experience with enterprise AI deployments at scale (not just experiments)
Familiarity with MCP (Model Context Protocol), agent frameworks, or AI workflow orchestration
Experience training or educating others on AI tools and techniques
Understanding of data engineering: pipelines, integrations, data quality, metadata management

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 .

Java Developer e-Trading - eFinancialCareers

Job Role: Java Developer e-Trading

Location: London Hybrid

Rate: Flexible

Start Date: ASAP

Your role

We are seeking an experienced candidate to join our eFX Quantitative Developer team within Global Markets
This is a fast paced and collaborative team that are responsible for the development and enhancement of the best-in-class eFX platform
The team sits within the Global Markets Principal Flow Trading stream, and has a business reporting line
You will be operating within a high-performing, fast paced quant development team, whose goals are directly aligned to the success of the business
You will take ownership of initiatives from initial analysis through to design, implementation and delivery
You will proactively suggest and drive through improvements to the platform and our framework
You will be involved in every aspect of algorithmic trading:
Market connectivity
Designing, implementing and back-testing pricing and execution strategiesDesigning and building analytics to assess model and platform performance
Latency analysis and optimisation
Enhancing the proprietary eTrading framework that is used across the department

Your team

A highly technical and innovative quant development team leading automated trading in FX
Part of the Principal Flow Trading Quant Development department, alongside teams aligned to eRates, eCredit, FX Derivatives, Equity Derivatives, and Cash Equities
Focused on maximising automation and performance in order to drive eTrading revenues
Operating in a highly agile manner, releasing to production multiple times per day

Your expertise

Strong business knowledge of electronic trading, ideally eFX
Proven experience in designing and implementing low-latency, high-throughput, event-driven algorithmic trading platforms
Collaboration with quantitative analysts to design and implement algorithmic trading models and controls
Experience of producing model documentation and partnering with governance and second line of defence functions
Advanced Java programming skills including approaches to low-latency Java like lock free data structures and low-garbage programming techniques
Beneficial to have low level experience with messaging libraries and protocols including Aeron, Kafka, EMS, SBE, FIX, ITCH, OUCH
Familiarity with time-series databases (preferably KDB) and Python for building analytics and reports
Full stack development experience is an advantage (preferably React) particularly for building monitoring dashboards and trader-facing tools

This role is advertised Via Hays

Machine Learning Quant Researcher

£150,000-200,000 GBP

Discretionary end of year bonus

Onsite WORKING

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

Machine Learning/Data Science Quantitative Researcher - London/Paris

My client is a quantitative hedge fund with offices globally, focusing on systematic trading. Their Quant Researchers develop and monitor strategies covering all liquid markets, including HFT/arbitrage, statistical arbitrage, CTA, Macro and event-driven models. The firm has a mandate for Quantitative Researchers who are specialised in Machine Learning, Deep Learning, Reinforcement Learning, NLP, or Computer Vision. Successful applicants will apply these techniques to analyse datasets and identify trading opportunities, and develop them into monetizable strategies in collaboration with other researchers, developers, and traders.

The Role:

Researching and applying Machine Learning and other Data Science techniques to analyse datasets and identify alphas.
You will work closely with other researchers, developers and traders on the development and implementation of these strategies, and monitor their performance over time.
Quantitative Researchers collaborate with each other globally. You will share ideas and work on tools for others to use across the firm, expanding the business and building your own skills.

Requirements:

An academic background with degrees covering numerical fields of study, such as Computer Science, Mathematics, and Quantitative Finance, PhD level degrees are preferred but not required.
Experience/knowledge of finance from academic studies, internships or professional experience.
Coding proficiency in at least on language, successful candidates are typically expert users of Python, and proficient with data science libraries.

Systematic Macro Portfolio Manager

£150,000-250,000 GBP

Formulaic Bonus

Onsite WORKING

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

Our client is an established quantitative hedge fund operating in the mid/low frequency trading space, with teams globally. The firm is looking for experienced Quantitative Researchers/Traders and Portfolio Managers, particularly those covering systematic Macro Futures or FICC markets, to build and lead a team and trade their own strategies in return for a performance based bonus.

The firm can offer exceptional resources, including historical market data, alternative/fundamental datasets, development support, and cutting-edge execution infrastructure, allowing strategies to cover intraday and mid frequency time horizons, while maintaining low costs and a quick time to market.

The Role:

Building and leading a desk where you will research and trade alphas based on analysis of market or alternative data.
Researching and monetizing signals, monitoring performance of models and optimising them where possible.
Creating quantitative tools to aid the strategy development process, such as execution algorithms, modelling libraries, etc. for the rest of your trading team to use.

Requirements:

A degree from a prestigious university in a numerate field. Previous successful candidates have degrees in Engineering, Physics, Mathematics, Computer Science, etc.
Coding proficiency in at least one language, such as C++ or Python.
At least three years of experience as a Quantitative Researcher/Trader, where you used sophisticated quant methods for the research and optimisation of macro strategies.
You will need to be a confident, resilient, and highly motivated individual, capable of working collaboratively with your colleagues in your office and in other locations.

Quantitative Researcher

£120,000 GBP

+Sign on +EOY Bonus

Onsite WORKING

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

About the Company:

Our client is seeking a talented Quantitative Researcher to join their team and contribute to the development of cutting-edge trading strategies within their automated trading framework.

Key Responsibilities:

Research and implement algorithmic trading strategies.
Analyze large data sets using advanced statistical and quantitative techniques to identify trading opportunities.
Develop a deep understanding of market structure across various exchanges and asset classes.

Qualifications and Skills:

Strong quantitative background (Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science, or Physics).
Proficiency in at least one programming or scripting language (e.g., Python, C++, Java).
Excellent communication skills.
Capable of working effectively under pressure in a fast-paced environment.

Quant Developer - Equities

£150k+ GBP

Onsite WORKING

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

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

Crypto Quant Researcher/Trader

£150,000-200,000 GBP

Performance based bonus

Onsite WORKING

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

Quant Researcher/Trader - Crypto - London/Paris

Anson McCade are working with a systematic hedge fund which is expanding their Crypto team. The firm can hire globally, and is looking for a Quant Researcher/Trader to research and deploy either HFT/MM strategies. The successful candidate will be able to manage their own models, and will receive a performance-based bonus.

The Role:

Researching strategies across CeFi or DeFi venues in collaboration with other Quantitative Researchers, Developers and the Research Lead.
Working on the development of infrastructure and tools, as well as the research, implementation and management of strategies.
The successful candidate will manage their own book, and can lead more junior Quants in the team.

Requirements:

The ideal candidate will have over 2 years of experience, including a background in Market Making or Central Risk Book trading. Experience with digital assets is preferred but not required.
Coding skills in Python, experience with other programming languages is also beneficial.
A Master’s or PhD from a top university is preferred.

£75,000 GBP

Onsite WORKING

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

Quantitative Analyst

We are partnered with a market-leading, globally renowned investment firm seeking to hire a Desk Quant Analyst. The firm designs and builds its own proprietary systems to deliver strong, consistent returns for its clients. With deep expertise in trading operations, collaboration is embedded into its global culture, enabling technology, research, and operations teams to work seamlessly across regions. Driven by a commitment to high-quality performance, the firm leads the industry in technology- and data-driven quantitative strategies across global financial markets.

Key responsibilities as a Quantitative Analyst

Handling and improving the codebase of strategies within our clients trading network.
Handle large data sets used in the production and research environments.
Conduct monitoring tasks on trading activities.
Work in collaboration with quant researchers and traders to manage the changing needs of the trading desks.

Qualifications needed for a Quantitative Analyst

Bachelors degree in engineering, computer science or another technical related subject.
programming proficiency with at least one major programming or scripting language (e.g. C++, Java, Python)
high level of communication skills and ability to work efficiently with colleagues across multiple areas

Additional desirable Qualifications for Quantitative analyst

Knowledge of Q/KDB+
Knowledge of Linux and Bash
Further quantitative skills

If you are interested, then please apply.

Senior Cyber Operations Analyst

£Up To £75,000 GBP

Performance Bonus

Hybrid WORKING

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

Senior Cyber Operations Analyst (Associate Manager)

Locations: London | Manchester | Bristol

Salary: Up to 75,000 + excellent package

Clearance: BPSS + SC clearance (or Eligible)

Are you an experienced Cyber Security Operations specialist looking to step into a senior role within a high-growth, high-impact cyber practice?

We’re supporting a top-tier consulting organisation (name anonymised) that is expanding its Blue Team and looking for a technical, curious and detail-driven Senior Cyber Operations Analyst to join their team.

This is a fantastic opportunity to work with cutting-edge tooling, contribute to threat-driven defensive security, and shape advanced SecOps capabilities across enterprise environments.

About the Role

As a Senior Cyber Operations Analyst at Associate Manager level, you’ll sit at the heart of a thriving Cyber Practice covering Assurance, Compliance, SecOps, Offensive Security and Research.

You’ll play a pivotal part in threat detection, incident response, detection engineering, and security monitoring - helping defend major UK organisations.

This role is perfect for someone who thrives in technical depth, enjoys problem-solving, and wants to contribute to a mission-driven cyber defence team.

Key Responsibilities

You will:

Develop, maintain and enhance detection content (primarily for Splunk SIEM) across cloud, endpoint and network platforms
Identify detection gaps, log ingestion issues and alert improvements
Review and uplift existing SecOps standards, logging maturity, BAU monitoring and threat-led optimisation
Perform day-to-day security monitoring, alert triage and incident response (9am-5:30pm rota)
Investigate cyber security incidents and provide technical leadership during escalations
Mentor junior analysts through shadowing and hands-on guidance
Act as a technical SME during client engagements, including presenting to senior stakeholders
Participate in alert testing, IR tabletop exercises, and readiness assessments
Stay up to date with emerging intelligence, attacker behaviours and evolving threat landscapes

Additional (client-dependent) responsibilities may include:

Proactive threat hunting
Incident response playbook development
Threat intelligence research
Vulnerability scanning & reporting
Internal (consultancy) and external (client-side) leadership opportunity

On-call requirement: approx. 1 week per month for high-priority incidents (additional compensation provided).

What We’re Looking For

Not every box needs to be ticked - but strong candidates will bring experience across areas such as:

Threat intelligence models (Pyramid of Pain, IPCE, TI lifecycle)
Detection engineering & alert development
Scripting skills (Python, Bash, C/C++, Java)
Core cybersecurity fundamentals: network, cloud, cryptography, forensics
Understanding of attacker techniques, APT behaviours and network protocol abuse
Familiarity with Windows/Linux investigation techniques

What’s in It for You

You’ll join an organisation that invests heavily in its people and offers:

Competitive salary
Private medical insurance
25 days annual leave
3 days paid charity leave
Continuous learning & development opportunities
Access to a cutting-edge cyber practice and diverse project portfolio
Flexible working & mobility across multiple UK hubs

Security Clearance Requirement

This role requires eligibility for BPSS + SC clearance, which normally includes:

5 years continuous UK residency
No periods of 30+ consecutive days outside the UK in that time
British-only nationality (no dual citizenship) due to client conditions

Interested?

If you’re passionate about defensive security, thrive in technical SecOps work and want to make a measurable impact across major UK clients, we’d love to hear from you.

Apply directly or message me for a confidential chat.

Artificial Intelligence Engineer McCabe & Barton London Area, United Kingdom (Hybrid) Save Apply AI Engineer - Agentic AI & LLM Solutions Leading Investment House | London/Hybrid | Contract | Competitive Day Rate About the Opportunity We are seeking an experiencedAI Engineer to join a leading global investment house embarking on an ambitiousAI transformation programme . This is a high-impact contract role focused on buildingend-to-end agentic AI and LLM-based solutions that solve real business problems across trading, operations, research, and front-office functions. You'll work directly with business stakeholders to understand workflows, design intelligent automation solutions, and rapidly prototype working AI systems that deliver measurable value. Key Responsibilities: AI Solution Design & Delivery 1. Buildend-to-end agentic AI and LLM-based solutions from concept to deployment 2. Design AI architectures that map toreal business problems in investment banking 3. Rapidly prototype and iterate AI solutions based on stakeholder feedback 4. Move quickly from business brief to working solution - velocity is critical 5. Own delivery independently with minimal supervision Business Engagement & Requirements: 1. Engage directly withbusiness stakeholders (traders, analysts, operations, research teams) to understand workflows and pain points 2. Translate business requirements intoAI solution designs 3. Demonstrate AI capabilities and educate stakeholders on art-of-the-possible 4. Gather feedback and iterate solutions based on real user needs 5. Communicate technical concepts to non-technical business audiences Technical Implementation: 1. Develop robustPython-based AI applications and agent systems 2. Integrate LLM capabilities (OpenAI, Anthropic, Azure OpenAI) into business workflows 3. Build agentic AI systems that can reason, plan, and execute multi-step tasks 4. Implement RAG (Retrieval-Augmented Generation) pipelines for domain-specific knowledge 5. Work with vector databases and enterprise data sources 6. Integrate AI solutions with existing .NET/C# enterprise systems where required Innovation & Best Practices 1. Stay current with rapidly evolving LLM and agentic AI landscape 2. Recommend appropriate AI frameworks and tools for different use cases 3. Establish best practices for responsible AI deployment in regulated environment 4. Balance innovation speed with security and compliance requirements Essential Skills & Experience AI & LLM Expertise 1. Proven experience building end-to-end agentic AI or LLM-based solutions in production environments 2. Deep understanding ofLLM capabilities and limitations - knows when AI is (and isn't) the right solution 3. Experience designingAI solutions that map to real business problems , not just technical demos or proof-of-concepts 4. Track record ofdelivering working AI solutions that create business value Technical Skills 1. Strong Python development skills - production-quality code, not just notebooks 2. Ability to architect and buildcomplete AI applications end-to-end 3. Experience integrating AI capabilities into existing enterprise systems 4. Understanding ofsoftware engineering best practices for AI systems Desirable Skills & Experience LLM & AI Frameworks 1. Experience with specificLLM providers (OpenAI, Anthropic, Azure OpenAI) 2. Familiarity withagent frameworks such as LangChain, LlamaIndex, AutoGen, or similar 3. Experience buildingmulti-agent systems and orchestration workflows 4. Knowledge ofprompt engineering and optimization techniques Technical Depth 1. C# / .NET background for enterprise integration in financial services 2. Experience withRAG pipelines and vector databases (Pinecone, Weaviate, ChromaDB, etc.) 3. Understanding ofembedding models and semantic search 4. Knowledge offine-tuning and model customization approaches

Senior Quantitative Analyst, Asset Management, London - eFinancialCareers

Responsibilities

Research and enhance equity factor models and portfolio construction techniques
Design and prototype new systematic equity strategies and products
Translate research into implementable signals within production platforms
Partner with the portfolio engineering team on model implementation and execution
Conduct standalone research leading to white papers and presentations
Engage with distribution to articulate capabilities and support AUM growth
Integrate systematic research into discretionary investment processes

Requirements

Experience in quantitative equity, with a track record in equity factors and portfolio construction
Deep knowledge of risk models, optimisation and sustainability integration
Strong Python programming (pandas, NumPy) and data manipulation skills
Proven ability to work with large datasets and research infrastructure
Understanding of artificial intelligence (AI) and machine learning (ML) techniques applied to equity portfolios
Postgraduate degree (MSc/PhD) in a quantitative discipline
Evidence of published research or conference presentations is advantageous

Machine Learning Modeling Lead - DTG Capital Markets

Head of Machine Learning Modeling

A global quantitative trading organization built around engineering excellence, scientific thinking, and fully automated trading.

Our teams create everything in-house—from the research infrastructure to the algorithms that run live in markets around the world.

We trade a wide mix of products, including equities, derivatives, options, commodities, rates, and crypto using both high-frequency and mid-frequency strategies.

Our dedicated team members are located across multiple continents, and while we maintain physical offices, our workflow is currently designed for a remote environment.

About the Role

We’re hiring an experienced ML leader to guide the next generation of predictive modeling that powers our research and trading systems. In this role, you’ll own the strategy, design, and execution of our modeling framework—from architecture choices to validation standards to production governance.

You’ll collaborate closely with quant researchers, data specialists, engineers, and traders to turn cutting-edge research into reliable, high-performance models used in live trading.

Responsibilities

You’ll be responsible for one of the most critical layers of our research platform—the modeling engine that feeds our trading systems. Your work will influence how we research, validate, and deploy ML-driven signals across the firm.

Setting the long-term vision for our model portfolio, covering everything from boosted trees to time-series deep learning, graph-based models, and advanced architectures for order-book prediction.
Designing training pipelines that enforce strict data hygiene—rolling and walk-forward validation, target construction, and leakage-free workflows.
Building explainability and diagnostic tooling (SHAP, permutation tests, model dissection techniques) to understand model behavior.
Developing ensemble strategies and regime-aware model routing.
Leading and mentoring a team of ML researchers, shaping best practices for experimentation and documentation.
Partnering with engineering and trading teams to ensure smooth deployment of models into live trading systems.

Requirements/Core Experience

5+ years working with machine learning, with at least 2 years applying ML in quantitative finance/investments/trading
In depth knowledge of modern ML methods and architectures.
Strong statistical foundation—comfortable with hypothesis testing, bootstrapping, time-series quirks, and related methods.
Experience building ML systems that operate in real-time or near-real-time environments.
Strong command of alpha evaluation (IC, rank correlations, stability, decay).
Proficiency in Python and the scientific/ML ecosystem (NumPy, Pandas, PyTorch/TensorFlow).
Understanding of market microstructure, order flow, order-book dynamics, and factor behavior is a major plus
Experience guiding technical teams and shaping modeling direction.

Engineer - London Stock Exchange Group

London Stock Exchange Group

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 commitment 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.

The Strat team is responsible for designing, building and maintaining the code that handles the data priming, the model execution and the post-processing of the solution into a format that clients can consume. The biggest component of the role is writing and testing code, which is written in python, so it is important to enjoy coding and be comfortable with designing and writing code in a large, shared codebase. Being comfortable with inter-library dependencies, python package management and continuous development practices is also crucial.

In addition to building the calculations, the Strat team is on the front-line when it comes to executing the multilateral optimization runs, which occur multiple times a week. This requires a high level of engagement with our Production team, to provide timely support during runs and help resolve issues as they arise in real time. A client-focused approach is therefore of paramount importance for the role. Successful candidates will build and support one or more of Quantile products. They work directly with our Production and Product Development teams to enhance the products based on feedback from clients and analysis of runs, as well as on strategic projects. We are looking for a junior quantitative developer to work on our optimisation services development and analytics.

Examples of recent projects include:

Implement improvements to our IR LCH compression algorithm.
Extend our LCH compression service suite extending it to FX product.
Enhance our couterparty Risk optimisation with new constraints and features
Enhance our support for hedge funds and clearing brokers in initial Margin optimisations
Improve the runtime performance by reducing the data set and solution search space
Improve data flow, minimising manual steps, avoiding task duplication, and building an event-driven architecture

Responsibilities:

Develop enhancements to the service model libraries to add new features and/or improve others. This will be a mix of strategic projects (3-6 months) and shorter-term tactical changes
Become familiar with the data flow and the run processes and continually strive to improve them
Investigate how to tune the model to create desired outcomes for clients
Support live runs

Essential:

2-5 years of professional experience building quantitative, data intensive products in python
Excellent understanding of software development best practices (such as functional and OO paradigms and standard design patterns) and design principles (SOLID)
Excellent understanding of commercial development practices such as testing, documentation, package management and SDLC
Excellent understanding of python for numerical programs. In particular, pandas and numpy are a must
Excellent problem-solving skills
Strong communication skills (the role will involve explaining complex algorithms to colleagues with varying technical and mathematical experience)

Desirable

Knowledge of UNIX & AWS
Understanding of linear and mixed integer programming, and convex optimisation
Experience with at least one commercial or open-source optimisation library or a mathematical modelling language
Understanding of financial derivatives, margin and counterparty credit risk measures
A solid mathematical background (numerical methods, linear algebra, partial differential equations, probability & statistics)

Career Stage:
Senior Associate

London Stock Exchange Group (LSEG) Information:

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.

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

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.

Python Developer – Trading Systems & Research Infrastructure (No Finance Experience Needed)

You’ll be developing components for a research and trading platform used by quant researchers and portfolio managers, handling data from a wide range of sources, and optimizing performance for simulation and live execution. Python is the primary language used throughout the stack, making strong fluency essential. Core Responsibilities 1. Contribute to the architecture, testing, and performance tuning of a scalable trading and backtesting platform. 2. Build reliable, production-grade tools that enable researchers to access, clean, and analyze market and alternative data. 3. Collaborate with engineers and quantitative researchers to support model development and operational workflows. 4. Investigate and resolve software issues in live and simulation environments; contribute to code quality and robustness. What We’re Looking For 1. 1–3+ years of professional Python development experience (finance background not required). 2. Solid engineering mindset with an ability to design clean, modular code for long-term maintainability. 3. Comfortable working with relational databases; experience with data pipelines is a plus. 4. Clear communication skills and the ability to contribute to a collaborative, fast-paced team environment. 5. Strong academic background in a STEM subject from a leading university. Bonus Points 1. Familiarity with cloud-native technologies (e.g. AWS, GCP) and containerized environments. 2. Exposure to CI/CD workflows or DevOps practices. 3. Enthusiasm for test-driven development and clean deployment processes. 4. A genuine interest in quantitative finance or systematic trading systems. 5. Eligibility to work in the UK is required. If you’re a Python developer who enjoys solving complex problems with real-world impact—and wants to learn about quantitative trading in the process—this role offers a front-row seat.

C++ Quant Developer / Equities Pod/ London/ £ High Base

Role:- This team member will be responsible for the implementation of technology to enable large-scale computational efforts in quantitative research, as well as related efforts, such as the preparation and transformation of data and other operational tasks. This role will work with senior technologists on the design and implementation of systems, and work closely with the quantitative research team to enable their mission You will:- Partner closely with the Senior Portfolio Manager to develop data engineering and prediction tools primarily for the systematic trading of equities Develop software engineering solutions for quantitative research and trading Assist in designing, coding, and maintaining tools for the systematic trading infrastructure of the team Build and maintain robust data pipelines and databases that ingest and transform large amounts of data Develop processes that validate the integrity of the data Implementation and operation of systems to enable quantitative research (i.e. large scale computation and serialization frameworks) Requirements :- Master’s or PhD in Computer Science, Physics, Engineering, Statistics, Applied Mathematics, or related technical field appropriate to a computational background Expert in C++ Advanced programming skills in Python Strong Linux-based development Knowledge of machine learning and statistical techniques and related libraries Experience as a quantitative developer supporting an intraday (or faster) system ( 3 years experience at least) Experience with the development practices of large tech (Google/Meta, etc.) or finance firms Experience with financial data Approx. 3-4 years of professional experience in a computer science/computational role Experience working in a technical environment with DevOps functions (Google Cloud, Airflow, Influx DB, Grafana) Apply:- Please send a PDF CV to quants@ekafinance.com

Start Up Hiring Quant Developer / C++/ Python

Role:- The role involves many things such as:- 1. Contribute to the development of thetechnology and automation of routine tasks. 2. Improve execution/alphas through backtesting/analysis 3. Assist in the deployment and verification of upgrades to the production environment’s technical infrastructure, custom trading applications, market data distribution plant, etc. 4. Onboard and organise new data sets. 5. Help launch new strategies and model. 6. Learn, try and implement new technologies (we love open source). 7. Proactively deal with monitoring alerts and help develop the monitoring platform. 8. Provide support for issues. 9. Design and implement trading infrastructure, build data analytics tools or develop real-time execution strategies. 10. Work on complex computational and data related problems. Implement efficient and innovative solutions 11. Build tools and engine that enhance our ability to analyse data and contribute to improve workflow. 12. Support post-trade activities to aid effective clearing and accurate record-keeping. 13. Development and maintenance of all systems, including Linux servers and desktops, databases, storage solutions, etc. Requirements:- 1. Significant programming experience is a must, as is a genuine passion for solving complex problems through programming. 2. You enjoy coding, rather than considering it just a tool, but want your code to have real world results and effects. 3. You know about data structures and algorithms, and can practically apply the knowledge to real world problems. 4. You have strong communication skills and a simple, down-to-earth style when articulating your ideas. 5. You’re self-directed and can effectively and independently manage your time across various projects. 6. You’re honest, reliable and take pride in your work. 7. You’re enthusiastic, driven to develop your skills and open to new ideas 8. You’re flexible, adaptable and can jump from individual contributor to collaborative team member. 9. Work is conducted in a Linux environment, mainly in C++ and Python, and embraces grid computing. Skills and knowledge here would be very helpful, but not essential. Ideally you will have a strong undergraduate degree in a numerate discipline from a top-tier university. Apply:- Please contact Sara Hunter at quants@ekafinance.com

Junior Quantitative Researcher – Sports Betting/ London/ $ 75K

A leading sports betting fund is seeking a Junior Quantitative Researcher to join its expanding quantitative research team. This is an exciting opportunity for an analytically minded individual with a passion for sports modelling, data science, and statistics to contribute to cutting-edge research and model development within a high-performing environment. Key Responsibilities 1. Assist senior quantitative researchers in delivering research and model development projects. 2. Support clients and internal teams by: 3. Developing, maintaining, and improving the mathematical libraries that power predictive models and analytical tools. 4. Building and maintaining software systems that deliver model outputs into production. 5. Perform statistical analysis of datasets, test hypotheses, and communicate findings effectively to key stakeholders. 6. Contribute to the ongoing enhancement of core programming libraries. 7. Participate in at least one professional development event annually—such as a conference, workshop, or networking event—focused on areas like sports analytics, statistics, machine learning, or gambling. Skills & Experience Required 1. MSc in Statistics , Data Science , Mathematics , or another quantitative discipline (e.g., Computer Science, Engineering, Finance) with a strong statistical component. 2. Prior experience in a role involving significant statistical analysis, demonstrating skills beyond academic study. 3. Programming experience and a willingness to learn and work in R . 4. Demonstrated passion for sports modelling—through personal projects, academic research, or independent analyses. 5. Commitment to continuous learning and professional growth. 6. Curiosity and enthusiasm for exploring new technologies and programming languages. 7. Eligibility to work in the UK . Preferred 1. Strong interest in horse racing , supported by prior modelling or data analysis projects. 2. Understanding of sports betting markets . 3. Familiarity with statistical and machine learning methods (e.g., GBM, Torch, CNN, LSTM, NLP, GNN). 4. Experience with additional programming languages (e.g., Python, C++, Julia). 5. Working knowledge of database systems (e.g., SQL, MongoDB, Redis, Postgres). 6. Experience with version control , code reviews , and merge requests . 7. Familiarity with CI/CD pipelines and test-driven development (TDD) .

Quantitative Researcher – London

We’re seeking a Quantitative Researcher to join our London team and help develop cutting-edge signals, models, and trading strategies for global financial markets. You’ll work closely with a small group of researchers and engineers to design, implement, and evaluate components of our research infrastructure, applying rigorous statistical and computational methods. This is an opportunity to gain broad exposure across multiple areas of quantitative research and to rapidly deepen your expertise in quantitative finance within a collaborative, intellectually vibrant environment. What You’ll Do 1. Develop and test innovative signals, models, and strategies for systematic trading. 2. Design and implement research tools and data pipelines. 3. Evaluate model performance using advanced statistical techniques. 4. Collaborate with a small, high-performing team to generate new research ideas. What We’re Looking For 1. PhD (completed or near completion) or Postdoctoral researcher in Mathematics, Statistics, Machine Learning, Physics, Computer Science , or a related quantitative discipline. 2. Exceptional mathematical and analytical ability . 3. Strong programming skills in Python or C++. 4. Experience tackling data-intensive problems is a plus. 5. Proven ability to conduct applied mathematical or statistical research . 6. Success in mathematical competitions (e.g., IMO, Putnam) is advantageous. 7. Prior experience in a quantitative or trading environment is a plus. Who You Are 1. Intellectually curious, creative, and rigorous in your approach. 2. Eager to challenge assumptions and adapt in light of new evidence. 3. Highly motivated and accountable, with a strong sense of ownership. 4. Meticulous, detail-oriented, and capable of managing multiple priorities. 5. Collaborative and communicative, comfortable giving and receiving feedback. 6. Able to work effectively both independently and within a small team .

Mayfair Fund Hiring Quant Developers / Python/ C++

Role :- Development and maintenance of the in-house C++ pricing libraries Advancing the quantitative toolbox by developing new technologies, algorithms and numerical techniques . Development and maintenance of multi-threaded servers for delivering data to users . Design, develop, test, and deploy elegant software solutions for automated trading systems. Design and build out model framework and signal research tools. Implement new signals and assets . Build execution and portfolio construction tools. Build tools and applications required by traders. You will work closely with the traders, quantitative analysts, compliance, and technology teams to provide innovative solutions with a focus on highly scalable systems. You will see your ideas and hard work used by experienced traders across a diverse range of instruments and markets. Requirements:- Excellent knowledge of both Python and C++. Experience with QuantLib library will be a major advantage for any candidate. Knowledge of fixed income and FX derivatives instruments and models will also be sought and interviews will centre around these areas . Strong foundational knowledge of computer science, mathematics & statistics. Financial experience/knowledge is a strong plus. Ideally you will have a Masters / PhD in a technical discipline (Computer Science, Engineering, Mathematics, Physics) A demonstrated track record in risk, quantitative or trading systems development. Apply:- Please send a PDF resume to quants@ekafinance.com

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Frequently asked questions

London offers a wide variety of Python roles including web development, data science, machine learning engineering, backend development, automation, and DevOps positions.

Many Python jobs in London require experience with popular frameworks such as Django, Flask, or FastAPI, depending on the role. It's best to review the specific job descriptions to understand required skills.

Yes, there are entry-level Python jobs and internships available in London. These roles often look for foundational knowledge of Python and a willingness to learn and grow.

Salaries vary based on experience and role complexity, but typically range from £40,000 to £90,000 annually. Senior or specialized positions can offer higher compensation.

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