Python Jobs in London

We need highly skilled Statisticians to support data generation, secondary publications, ISR review, and market access for marketed oncology products and late stage pipeline assets.

In this role you will

Provide statistical input for the design, analysis, reporting, and interpretation of non registrational studies.
Shape clinical development plans, HTA strategies, and commercial approaches.
Build and maintain strategic relationships with internal and external stakeholders to address business needs.
Develop and implement novel statistical methods to tackle complex challenges.
Address market access and reimbursement challenges from regional agencies by collaborating with cross functional teams.
Work with Health Outcomes and Market Access teams to analyze and interpret clinical trials and real world data, while expanding expertise beyond traditional statistics.

Basic Qualifications & Skills

MSc or PhD in Statistics, Mathematics or equivalent with relevant experience in clinical research, pharmaceutical, CRO or academic settings.
Proven statistical contributions and accomplishments in late phase clinical drug development.
Good statistics programming skills and experience in R and/or Python.
Self motivated with strong time management skills to manage multiple tasks effectively across projects.
Excellent interpersonal and communication skills, including the ability to explain methods to senior stakeholders, and ability to build and maintain strong working relationships.
Experience successfully influencing across functions and organizational levels.

Preferred Qualifications & Skills

Proven statistical contributions in medical affairs and market access for marketed products, including HTA assessment.
Experience in oncology.
Demonstrated leadership and major contributions to organizational or industry wide initiatives.
Ability to apply innovative statistical thinking.
Strong relationship building and teamwork skills.
Experience coordinating work with CROs.

GSK is an Equal Opportunity Employer. All qualified applicants receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information, military service or any basis prohibited under federal, state or local law.

Broking Insights - Senior Data Analyst

Would you like to be part of a growing analytics team looking to drive forward advanced data driven decision making at the heart of Lloyd’s insurance market?

Do you have a passion for analytics, visualization and generating real business impact through communicating value insights?

We are seeking a highly skilled Senior Data Analyst to join our forward thinking broking analytics team. This role combines commercial acumen, deep insurance expertise, and analytical capabilities to deliver actionable insights and optimise decision making across the organisation.

The successful candidate will deliver data solutions, standardise reporting practices, scale our Power BI capabilities and enhance analytical capability across departments. Based from our flagship London office, this role comes with Hybrid working.

What the day will look like

Power BI Development: Build scalable data models, optimise model performance, and standardise reporting frameworks to deliver
Deliver engineering pipelines in Databricks to create structured scalable assets to meet the evolving needs of the reporting requirements
Assess AI for BI opportunities, leveraging LLMs and
Develop reporting frameworks from critical source systems to enable deeper insights into operational and broking performance
Collaborate with brokers, operations, and carriers to assess analytics requirements and translate business needs into actionable insights
Insurance Market Expertise: Leverage Lloyd’s market knowledge to inform analytics solutions and reporting
Deep of Data Modelling and architecture is
Data Governance - embed standards and practices to improve data quality
Liaise with analytics capabilities across departments and co ordinate to deliver business centric solutions
Engage in strategic data transformation projects to provide technical guidance
Data Engineering & Automation: Develop ETL processes using SQL and Python;
Implement Power Automate and Power Apps for workflow automation
AI & Emerging Technologies: understand how to leverage emerging capabilities

Skills and experience that will lead to success

Mandatory: SQL, Power BI, Python scripting - Advanced modelling, optimisation, and governance.
Expertise in standardising reporting practices and scalable BI solutions.
Excellent communication and data storytelling.
Passion for AI and experience leveraging it in a commercial context
Strong stakeholder management and influencing skills.
High commercial awareness and strategic thinking.
Collaborative and adaptable in a fast paced environment.
Proven experience in insurance analytics within the Lloyd’s or London Market.
Expertise in standardising reporting practices and scalable BI solutions.
Experience with Microsoft Co Pilot Studio or similar Agentic AI tooling.
Familiarity with regulatory compliance and data governance practices.
Understanding of underwriting / broking principles and performance analytics (loss ratios)

Senior Penetration Tester

Starling Bank Limited

About the Role

As an experienced Penetration Tester at Starling, you’ll be joining an established team, working with talented cyber security professionals to ensure our services are designed, developed and operated securely.

This is a collaborative role - you’ll directly interact with multiple areas of the business to understand requirements, conduct research, perform security testing, and report issues aligned to our risk framework.

Being an internal tester, you’ll gain a strong understanding of how technology works at Starling to enable in depth testing. You’ll also support remediation processes, seeing your findings lead to tangible security improvements.

We understand the importance of knowledge and expertise remaining current, so we’ll actively support your advancement through research and training. In turn, you’ll help us continuously improve our processes, methodologies and tools to maintain the highest standard of testing.

We’re open minded when it comes to hiring and we care more about aptitude and attitude than specific experience or qualifications.

Responsibilities

Scoping and performing mobile, web application, cloud and infrastructure penetration tests.
Collaborating with engineering teams to facilitate secure development, including:
- Reviewing and analysing proposed technical solutions to identify appropriate security controls.
- Conducting code reviews of features and critical security components.
- Performing in depth practical security testing.
- Advising on the remediation of security issues and identifying solutions to address root causes.
Automating security testing and developing internal tooling to achieve continuous assurance.
Identifying and implementing improvements to the team’s internal processes and procedures.
Mentoring less experienced team members, leading by example in technical assessments, and promoting a collaborative approach to security across Starling.

Qualifications

5+ years technical information security experience.
Experience in mobile, web application, cloud and infrastructure penetration testing.
Technical knowledge - a good foundation in mobile security (iOS and Android), web application security, networking and associated protocols, cloud security (AWS and GCP), containers and Kubernetes.
A desire to learn, and the ability to apply technical security knowledge to new and unfamiliar areas.
Penetration testing qualifications (e.g. CREST Certified Tester, OSCP) or equivalent industry experience.
Experience performing code reviews or code assisted testing, particularly in Java and Go.
Experience in automation of security testing (e.g. using Python or Go).
Excellent verbal and written communication skills.

Interview Process

First stage with the Penetration Testing Team Lead.
Second stage with additional members of the Penetration Testing team.
Final stage with Infosec Director and CISO.

Benefits

25 days holiday (plus public holiday allowance).
Extra day’s holiday for your birthday.
Annual leave increased with length of service, and you can choose to buy or sell up to five extra days off.
16 hours paid volunteering time a year.
Salary sacrifice, company enhanced pension scheme.
Life insurance at 4 your salary & group income protection.
Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr & Mrs Smith and Peloton.
Generous family friendly policies.
Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks.
Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing.

Equal Opportunities

Starling is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.

Data Scientist, Evals

Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM first search engine and our specialized data sources. We aim to use the latest models as they are released, but the intelligence frontier is a jagged one, and popular benchmarks do not effectively cover our use cases. In this role, you will build specialized evals to improve answer quality across Perplexity, covering search based LLM answers and other scenarios popular with our users.

Responsibilities

Architect and maintain automated evaluation pipelines to assess answer quality across Perplexity’s products, ensuring high standards for accuracy and helpfulness
Design evaluation sets and methods specifically to measure the impact of tool calls (particularly web search retrieval) on the final answer’s quality
Develop VLM based solutions to programmatically evaluate how final answers render visually across different platforms and devices
Continuously review public benchmarks and academic evaluations for their applicability to the Perplexity product, adapting and incorporating them into our regular performance measurements
Operate within a small, high impact team where your evaluation metrics directly shape product changes, collaborating closely with technical leadership to measure and improve Answer Quality

Qualifications

PhD or MS in a technical field or equivalent experience
4+ years of experience in data science or machine learning
Strong proficiency in Python and SQL (expected to write production grade code)
Experience building within a modern cloud data stack, specifically AWS and Databricks
Comfortable with agentic coding workflows and using AI assisted development tools to iterate faster

Preferred Qualifications

1+ years of experience working with LLMs at scale, specifically with LLM as a judge setups
Prior experience working on customer facing web products or consumer apps, with real user traffic at scale
A strong research background, with experience applying research methods to real world ML problems
Experience defining evaluation metrics (e.g., factual consistency, hallucination rate, retrieval precision) and building ground truth datasets

Senior Software Engineer, Unified Platform (Reference Data)

DRW is a technology-driven, diversified principal trading firm. We trade our own capital at our own risk, across a broad range of asset classes, instruments and strategies, in financial markets around the world. As the markets have evolved over the past 30 years, so has DRW - maximizing opportunities to include real estate, cryptoassets and venture capital. With over 2000 employees and offices around the world, we work together to solve complex problems, challenge consensus and deliver meaningful results. It’s a place of high expectations, deep curiosity and thoughtful collaboration.

We are seeking a Senior Software Engineer to join our Unified Platform (UP) organization. UP consolidates data and technologies into a comprehensive solution, accelerating time to market. Optimizing decision making and research, our platform simplifies implementing new ideas, enhancing our competitive edge.

As a Software Engineer on one of the Unified Platform teams, you’ll be part of a tight knit team of software engineers working closely with internal users (analysts, quants, traders) to develop innovative systems that enable research and trading. You’ll experiment with emerging technologies to process data at scale. You’ll wrestle a mountain of data into human understandable insights.

We care deeply about preserving a respectful and diverse team culture. We are a group of polyglots and technologists always seeking to find the right tool for each problem, even if that means learning something new or reviving something old. We value business impact and outcomes over process, and we make decisions based on data. We strive to adapt quickly as business priorities change.

What you’ll do in this role:

Develop tools to enable the business to rapidly embrace new opportunities in global markets
Partner closely with internal customers to understand their needs and build intuitive self service tools
Develop software for large scale data acquisition, storage, accessibility, and visualization
Work with a team to maintain and extend our global markets reach
Learn about market microstructure, financial instruments, and markets in which DRW participates or wants to participate in

This could be a good fit if you:

Are motivated to solve hard problems with deceptively simple solutions
Think a lot about user experience and try to really understand end users’ jobs and pain points
Think a lot about APIs, modular design and testing
Love refactoring and keep trying until you find a better answer
Enjoy making the “right way to do it” the path of least resistance
Have made a random tool for yourself and then peers ask for it then other teams ask for it
Are fiercely proud of your project’s reliability, performance and ease of maintenance
Are excited to learn about financial markets, trading, etc.

What we need on the team:

At least 2 3 years of platform level software development experience
Strong computer science fundamentals; a degree in Computer Science or equivalent work experience
Strong experience with Java, Python or any modern programming language
Experience processing high volumes of data at scale
Excellent analytical and problem solving skills
Comfort working within a globally distributed team
A background in some of the following a bonus:

Java experience
Python experience
Ruby experience
Big data technologies: Spark, Trino, Kafka
Financial Markets experience
SQL: Postgres, Oracle
Cloud native deployments: AWS, Docker, Kubernetes
Observability: Splunk, Prometheus, Grafana

Senior Software Engineer

Summary

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there’s no telling what you could accomplish.

Our Swift Server Networking team is responsible for building libraries and frameworks which form the foundations of mission critical systems at Apple. We write software in the Swift programming language and specialise in frameworks for distributed systems. Much of the software we produce is published as open source (such as SwiftNIO and gRPC Swift), as we firmly believe in growing a strong community. This, combined with our drive to create amazing products, makes the team a truly exciting place to work.

We’re a collection of highly skilled and friendly engineers who value each other’s opinions and experience. We strive for excellence and believe strongly in the quality of our output. We have built a team of domain experts who specialise in specific core subject areas, and also have broad experience of cloud software services and platforms.

Description

You will have significant responsibilities in building and improving libraries and SDKs for running large scale, mission critical services in Swift. You will have the chance to influence the direction of the platform and collaborate with multi functional teams across Apple to help define, implement, and deliver functionality to help build the next generation of Apple Services.

Our work takes us across multiple domains, from cloud services to iOS and macOS SDK development. The common thread for all of our development is a focus on the Swift programming language. If you have experience in any of these areas, you can hit the ground running, but we believe that great engineers can learn these skills on the job.

Successful candidates will have strong engineering skills and communication, as well as the ability to build relationships and collaborate across the company. You will have a real passion for quality, technical excellence, and an ability to understand complex systems. If this sounds like you, then we would love to hear from you.

Minimum Qualifications

Experience with standard software engineering tooling and workflows, including version control and code review
Strong proficiency in at least one programming language (e.g., Java, Python, Swift, C/C++)
Strong large scale server side development experience
Experience navigating ambiguity and leading initiatives or workstreams
A willingness to jump in and tackle new problems

Preferred Qualifications

Expertise in library design/API evolution
Asynchronous/streaming programming experience (e.g. Reactive Streams, Dispatch, Combine, or similar)
Experience with implementing, debugging, and scaling network protocols.
Experience with modern high performance Linux networking technologies, including some or all of eBPF (with or without XDP), DPDK, and io_uring.
Familiar with QUIC and some of its extensions.
Familiar with modern cryptography, including an understanding of the major categories of cryptographic primitives, how to safely use them, and what to avoid.
Quality focus - produce reliable, maintainable, deliverable software
Comfortable diving deep - working across multiple levels of abstraction
Good at managing relationships & communication - collaborates well with colleagues across a wide range of functions

At Apple, we’re not all the same. And that’s our greatest strength. We draw on the differences in who we are, what we’ve experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Learn more

Principal Machine Learning Engineer, AI & Data Platforms (AiDP)

London, England, United Kingdom. Corporate Functions.

At Apple, we build AI systems that define experiences for billions of people and we do it with an unwavering commitment to privacy, performance, and craft. The AI & Data Platforms (AiDP) team is seeking a Principal Machine Learning Engineer to lead the design, fine tuning, evaluation, and productionisation of large language models and generative internal AI systems at global scale. This is a deeply hands on, high impact role: you will work across the full model lifecycle, from reinforcement learning and upstream training through to deployment of standalone, customer facing products. The ideal candidate is equal parts researcher, engineer, and product builder. You bring authoritative depth in LLM customisation and alignment, a sharp instinct for performance and quality, and the ability to ship end to end AI powered products that meet Apple’s standard of excellence. If you thrive at the intersection of frontier model development, systems engineering, and product creation we want to hear from you.

Responsibilities

Lead the end to end development and productionisation of LLM based systems, from upstream training and reinforcement learning (RLHF/RLAIF) through fine tuning, alignment, and deployment of standalone, globally scaled products
Design and implement comprehensive LLM evaluation and benchmarking frameworks, assessing model quality, safety, bias, latency, and cost efficiency to inform model selection and customisation decisions
Architect production inference infrastructure that meets Apple’s performance, privacy, and reliability standards at global scale, including model optimisation, quantisation, and efficient serving strategies
Drive model customisation and adaptation strategies (prompt engineering, retrieval augmented generation, parameter efficient and full fine tuning) to deliver differentiated product experiences
Build end to end AI powered products and features, taking full ownership from problem definition and prototyping through production release, working across Swift, Java, and Python codebases
Establish engineering excellence across the ML development lifecycle, including robust testing, reproducibility, monitoring, documentation, and CI/CD for model and data pipelines
Partner with research, product, design, and platform teams to translate emerging capabilities into scalable, user centric solutions - acting as a technical bridge between research innovation and product delivery
Mentor and elevate ML engineers across the team, raising the bar on technical quality and fostering a culture of rigorous experimentation and engineering craft

Minimum Qualifications

Extensive hands on Machine Learning engineering experience, with a demonstrable track record of shipping ML powered products at scale
Deep, practical expertise in LLM fine tuning, alignment, and customisation - including reinforcement learning from human feedback (RLHF), parameter efficient fine tuning (LoRA, QLoRA), prompt optimisation and LLM evaluation and benchmarking strategies (accuracy, latency, safety, cost)
Strong software engineering proficiency across Python, Swift, and Java, with the ability to contribute production quality code across Apple’s technology stack
Experience building and operating enterprise grade ML pipelines (data preparation, distributed training, model optimisation, serving, and monitoring) in cloud (AWS, GCP, Azure) or on prem environments

Preferred Qualifications

Demonstrated ability to deliver end to end AI products - from problem framing and experimentation through to globally deployed, production grade solutions
Published papers in top conferences in ML/Statistics/Maths/compsci.
Experience with pre training or continued pre training of large language models, including data curation, curriculum design, and training stability at scale
Expertise in reinforcement learning techniques for model alignment (RLHF, RLAIF, DPO, PPO) and safety/red teaming methodologies
Deep familiarity with advanced agentic frameworks and architectures (LangChain, LangGraph, DSPy, AutoGen, or equivalent), including multi agent orchestration and tool use
Experience with multimodal AI systems (text, image, code, speech) and cross modal reasoning
Track record of building and shipping standalone AI native products - not just features - with direct accountability for user impact and product quality
Contributions to open source ML frameworks, published research, or patents in relevant areas
Expertise in inference optimisation techniques: quantisation (GPTQ, AWQ), speculative decoding, KV cache optimisation, and hardware aware model compilation
Strong data engineering instincts - comfort designing data pipelines, curating training datasets, and producing high quality aggregated datasets at scale
Demonstrated technical leadership: setting architectural direction, driving cross team alignment, and mentoring senior engineers

Company:

Apple Inc.

Level of experience (years):

Senior (5+ years of experience)

Tagged as:

Industry, Language Modeling, Machine Learning, NLP, United Kingdom

Associate/Vice President - Portfolio Manager, Multi-Asset Strategies & Solutions (Wealth)

About this role

Being a part of BlackRock means being a part of a community of experienced, ambitious people who are taking on some of the world’s most complex financial challenges. And our founder-led culture has maintained its entrepreneurial feel - we work hard, we work fast, and we work with purpose.

Team Overview

BlackRock’s Multi-Asset Strategies & Solutions (MASS) business is the investment group at the heart of BlackRock’s portfolio construction, asset allocation, and active management ecosystem. MASS draws on the full toolkit of index, factor, and alpha-seeking investment capabilities to deliver precise investment outcomes and innovative alpha insights. Our team of 600+ multi asset investment professionals constructs active asset allocation strategies and whole portfolio solutions across a wide spectrum of commingled funds, separate accounts, model portfolios, and outsourcing solutions in the wealth and institutional channels. Currently, MASS manages over $2.5 trillion in assets and has a strong presence in London, New York, San Francisco and Asia Pacific.

Position Overview and Responsibilities

As a Portfolio Manager in MASS, you will be working as part of a team managing portfolios across a range of clients and product types. Your responsibilities will include:

Managing portfolios comprised of physical and synthetic fixed income, equity, FX, funds, private markets and commodity exposures
Leading daily portfolio management tasks including implementing multiple investment strategies, handling client flows, FX hedging, rebalancing and monitoring positioning, and risk/ performance decomposition
Ensuring all mandates conform to performance expectations, investment guidelines, risk parameters, and regulatory requirements
Applying technology and analytical tools to improve processes, build scale and enhance investment decision-making
Working with analytics, risk, data, and other platform teams to drive operational improvements and contribute to overall systems/investment and trading process design
Participating in research related to portfolio construction, asset allocation, security selection, and other investment topics

We are looking for individuals who are:

Fiduciaries: You consistently put clients first and maintain integrity in every aspect of performance

Curious: You like to learn new things and are happy to challenge the status quo

Intellectual: You are excited about growing your skillset through solving problems

Accountable: You feel personal ownership and passion for the work you do and an aspiration to be better

Finishers: You drive things to completion

Exacting: “Good enough” is simply not good enough

Open: You value and respect input from others

Experience / Qualifications

4 to 8 years of prior experience in portfolio management or related role desired (e.g. risk management, analytics, trading), with accompanying knowledge in relevant subject areas such as markets, instruments, portfolio construction, exposure and risk measures, or attribution
Undergraduate degree in a quantitative field (Physics, Mathematics, Finance, Economics, Computer Science or similar) or equivalent demonstrated professional experience with proven passion for investing
Relevant experience managing Wealth / Solutions multi asset portfolio / models preferred, including experience in managing and rebalancing portfolios and FX hedging.
Strong technical abilities with ability to develop process automation and tools to manage large numbers of portfolios. Data skills and coding experience required.
Knowledge or experience across markets and instruments such as ETFs and other fund vehicles, derivatives, FX, rates, equities or credit markets (options, IRS, CDS, etc. a plus)
Critical thinking and problem solving skills, with the ability to identify investing and operational challenges, and to design and implement solutions.
Strong strategic communication and interpersonal skills, ability to partner with multiple groups across the firm, and to work both independently and as part of a team in a highly collaborative, global environment.
Meticulous attention to detail with an ability to remain focused across a wide range of portfolio types and activities. Strong process awareness and ability to address operational risk issues.
Technical skills such as Python, AI tools required, and experience working with Aladdin strongly preferred.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment - the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

For additional information on BlackRock, please :

BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.

Head of Investment Risk, Discretionary

Job Application for Head of Investment Risk, Discretionary at Man Group London 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

The Discretionary Risk Management team enhances the investment management process by delivering proactive, best in class risk oversight. We are seeking an accomplished leader who combines emotional intelligence, executive presence, and exceptional communication and quantitative skills to lead this high performing team.

Key Responsibilities

Provide strategic leadership to the Discretionary Risk Management team, fostering a culture of excellence and high performance
Cultivate and maintain strong relationships with key stakeholders, including Portfolio Managers, Senior Management, Clients, and Regulators
Conduct real time monitoring and assessment of risk exposures across all funds and books managed by Discretionary
Chair the Discretionary Risk Committee, setting the agenda and driving actionable outcomes
Champion continuous improvement in risk management methodologies, frameworks, and tools
Develop and maintain a deep understanding of the investment management styles employed across Discretionary and the broader Man Group
Design, deliver, and oversee strategic risk projects from inception to completion
Advance and embed the Man Group risk management framework across all business functions
Ensure timely resolution of risk issues, prioritising based on materiality, significance, and potential impact

Qualifications and Experience

Postgraduate degree in a relevant discipline (e.g., Finance, Mathematics, Economics, or related field)
Minimum 10 years’ experience in risk management across buy side and/or sell side institutions
Proven track record in discretionary risk management (essential)
Strong credit focused background with deep knowledge of credit instruments and markets (essential)
Proficiency in AI/machine learning applications and Python programming
Demonstrated experience in people leadership, team development, and mentorship (essential)
Exceptional financial and analytical acumen
Comprehensive understanding of VaR modelling, stress testing, and broader risk management techniques
Outstanding written and verbal communication skills, with the ability to convey complex risk concepts to diverse audiences

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/401(k), 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.

Disability Confident

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 .

Software Engineer - Defined Benefits Team

Location: London - hybrid 50%

Contract: Permanent

Hours: Fulltime - 35 hours

Purpose

Support the DB Transformation engineering team in designing, developing, and delivering enterprise grade software built on a Python (FastAPI), React (Next.js), and Azure Kubernetes Service (AKS) stack. This role plays a key part in building our service oriented data platform, ensuring scalability, reliability, and security within a regulated environment. You will work across the stack-from front end applications to containerised services-and help embed DevOps excellence and modern engineering practices across the team.

Key Responsibilities

Deliver high quality, secure and maintainable code using Python, React and TypeScript, aligned to business and architectural standards.
Contribute to the development of a cloud native data platform running on Azure Kubernetes Service, ensuring scalability and reliability.
Design and build RESTful APIs and data integration services using FastAPI, with occasional use of Go where required.
Develop responsive and high performing front end applications using React, Next.js and modern component libraries.
Containerise and deploy applications using Docker and Helm within Kubernetes environments.
Build and maintain CI CD pipelines in Azure DevOps, embedding automation, testing and release quality.
Apply Infrastructure as Code using Terraform and ensure solutions meet security and compliance standards including OWASP and data protection.
Collaborate across engineering and product teams, contribute to Agile practices, support production systems and mentor junior developers.

Examples of Key Activities

Develop and maintain backend services using FastAPI to support core business functions.
Build and enhance React and TypeScript front ends using Next.js, focusing on performance, usability and component reusability.
Design, build and maintain scalable solutions across the Microsoft Power Platform including Power Apps, Dataverse, Power Pages, Power Automate and custom connectors, integrating with Azure services and APIs.
Containerise and deploy applications using Docker and Helm within Azure Kubernetes Service environments.
Extend and manage CI CD pipelines in Azure DevOps, embedding automated testing, linting and security scanning.
Implement monitoring and observability using Azure Monitor, Grafana and structured logging to ensure system reliability.
Define and provision infrastructure using Terraform, while applying secure coding practices and supporting risk and threat assessments.
Collaborate with architecture and engineering teams, contribute to code reviews and testing, and support incident management and continuous improvement.

What we’re looking for Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Desirable - Relevant certifications in Microsoft technologies and Azure are highly desirable.

Experience

Strong experience with React, TypeScript and Next.js alongside Python and SQL Server to build scalable applications.
Proven ability to design and develop RESTful APIs for internal and external integrations.
Hands on experience with Azure services including App Services, Azure SQL, Key Vault and Azure DevOps.
Experience with Docker and Azure Kubernetes Service for containerisation and microservices deployment.
Solid understanding of DevOps practices including CI CD pipeline design and deployment automation.
Familiarity with Infrastructure as Code tools such as Terraform and ARM templates for environment management.
Experience supporting production systems, including incident triage, root cause analysis and resolution of complex issues.
Strong understanding of secure coding practices, OWASP principles, Agile delivery, Git, testing and code review best practices.

Our behaviours

At Just you’ll have the opportunity to develop your career, whilst making a difference to the lives of those around you. You’ll be part of a company with a strong and distinctive culture - we’re ambitious, curious and collaborative - and every decision we make centres around being Just and delivering the best outcomes for our customers.

What’s in it for you

A competitive salary, pension scheme and life assurance.
25 days annual leave plus an additional day on us for your birthday.
Private medical cover and income protection, just in case.
A generous and highly achievable bonus scheme.
Opportunities to progress your career in role and within the company.
Free access to the Headspace app, 24/7 employee assistance helpline and trained physical and mental health first aiders.
A variety of employee funded benefits available via our online benefits portal.
Plus, several additional purchase options available for you and your loved ones.
Valuing diversity of thought and fostering a sense of belonging is critical to our business success, driving innovation and balanced decision making. Our work on DEIB (Diversity, Equity, Inclusion and Belonging) aims to deliver a brilliant employee experience underpinned by a sense of belonging, where our people feel proud to work at Just.
We remain committed to our publicly disclosed HM Treasury Women in Finance Charter and Race at Work Charter targets and support a wide range of employee network and events, championing issues including intergenerational working, social mobility and neurodiversity.

Senior Data Scientist (£85,000-£105,000) at Faculty

Jack & Jill/External ATS

Job Title: Senior Data Scientist at Faculty

Salary: £85,000-£105,000

Company Description: Faculty - Applied AI Leader

Job Description

Join Faculty’s Frontier team to build Computational Twins-sophisticated AI replicas of complex organizational systems. You will lead the design and deployment of production-grade decision intelligence solutions for high-stakes sectors like healthcare and life sciences. This role blends deep technical ML expertise with strategic client leadership to solve critical real-world challenges at scale.

Location: London, UK

Why this role is remarkable

Work at the forefront of Decision Intelligence creating “Computational Twins” that simulate entire business processes for organizations like the NHS and global pharma leaders.
Join a PhD-heavy technical culture recently recognized by Gartner as a Visionary, now backed by Accenture’s global infrastructure to scale your impact internationally.
Enjoy high-end benefits including an unlimited annual leave policy, private healthcare, dental, and specialized professional coaching through Sanctus.

What you will do

Design and build AI-driven digital reflections of complex systems using supervised learning, time-series, and Bayesian methods to optimize critical decision processes.
Lead cross-functional squads of engineers and designers to deliver end-to-end production-grade AI solutions directly to senior stakeholders.
Mentor and develop emerging data science talent through technical leadership, code reviews, and potential line management responsibilities.

The ideal candidate

Possesses 4+ years of professional experience in data science or quantitative research with a strong foundation in statistics and mathematics.
Demonstrates expert-level Python proficiency (NumPy, Pandas) and deep familiarity with frameworks like TensorFlow or PyTorch for production environments.
Exhibits a business-focused mindset with the communication skills required to translate complex technical strategies into actionable value for commercial clients.

Full Stack Engineer (£60k-£80k + Equity) at Lichen AI

Jack & Jill/External ATS

Job Title: Full Stack Engineer

Salary: £60k-£80k + Equity

Location: Cambridge, UK

Company Description: Lichen AI - Early stage agentic platform for AI discovery

Job Description: As the first full time engineer, you will transform a working prototype into a production grade enterprise SaaS. You’ll build robust backends, design intuitive interfaces for complex AI outputs, and establish foundational engineering practices. Working directly with an expert founding team, you will ensure the platform is secure, reliable, and ready for global enterprise customers.

Why this role is remarkable

Join as the first founding engineer with a significant equity stake and a clear path to technical leadership as the company scales.
Work alongside a world class founding team including the former Chair of the UK Government’s AI Council and Amazon Alexa’s speech recognition lead.
Build a mission driven platform that uses agentic AI to amplify human insight rather than replacing it, solving a critical adoption gap for enterprise clients.

Responsibilities

Transition a high potential prototype to a production grade platform by building secure, scalable backend systems and automated deployment pipelines.
Lead the end to end development of the user interface, making complex AI generated insights legible and actionable for non technical business users.
Implement enterprise grade security and compliance standards including ISO 27001 and GDPR to ensure safe handling of sensitive client data.

The ideal candidate

Has 3 8 years of experience shipping production web applications using modern JavaScript/TypeScript (React) and Python (FastAPI).
Demonstrates strong proficiency in cloud infrastructure, specifically AWS, and designing robust database structures and data pipelines.
Thrives in a small, fast paced startup environment and possesses a genuine interest in human centered AI that enhances domain expertise.

Senior Catastrophe Research Analyst

Senior Catastrophe Research Analyst page is loaded Senior Catastrophe Research Analystremote type: Hybridlocations: Londonposted on: Posted Yesterdayjob requisition id: R Job Type: Permanent Build a brilliant future with Hiscox Senior Catastrophe Research Analyst Reporting to the Director of Underwriting Risk, Hiscox Re London based with Hybrid working Role Overview In this role you will be focused on Hiscox Re's Catastrophe Research efforts. You will lead and co-ordinate research projects on catastrophe risk, including vendor model validation, defining the Hiscox View of Risk for specific perils and regions. The role is embedded in the Hiscox Re Risk Analytics Team and you will work closely with the reinsurance underwriters, catastrophe modelling team, the Capital Partners team and have exposure to brokers, cedants and third-party investors. What you'll be doing in the role Lead and co-ordinate Hiscox Re's catastrophe research activities. Lead specific research projects that include: + defining and implementing the Hiscox View of Risk + validation of catastrophe vendor models, + leading research on catastrophe frequency and severity on specific regions and perils. Co-ordinate research projects and specific project work with reinsurance underwriting teams, Hiscox Group research and exposure management teams and other Hiscox business unit catastrophe managers. Present externally to brokers, cedants and Hiscox capital partners, confidently articulating our catastrophe management and View of Risk. Provide thought leadership on topics relating to natural catastrophes including climate change. Represent Hiscox Re internally at risk committees and exposure management groups. Own scientific and portfolio insight on active cat events and communicate this to Hiscox Re and Group leadership teams. Represent Hiscox Re at Industry events Establish and maintain connections with research institutions and academia Person specification Self-motivated, driven and able to lead, collaborate and gain the commitment of others Exemplary research skills, critical thinking and ability to make business judgements. A PhD or Masters degree in a related or scientific field. Knowledge of catastrophe reinsurance and ILS. Excellent technical knowledge of catastrophe modelling and exposure management. In depth knowledge of the main catastrophe vendor models including their strengths and weaknesses. Strong commercial acumen and strategic mindset. Excellent written and verbal communication skills for a range of expert/non-expert audiences. Strong technology skills including R, python, SQL. About Hiscox As an international specialist insurer, we are far removed from the world of mass market insurance products. Instead, we are selective and focus on our key areas of expertise and strength - all of which is underpinned by a culture that encourages us to challenge convention and always look for a better way of doing things.We insure the unique and the interesting. And we search for the same when it comes to talented people. Hiscox is full of smart, reliable human beings that look out for customers and each other. We believe in doing the right thing, making good and rebuilding when things go wrong. Everyone is encouraged to think creatively, challenge the status quo and look for solutions.Scratch beneath the surface and you will find a business that is solid, but slightly contrary. We like to do things differently and constantly seek to evolve. We might have been around for a long time (our roots go back to 1901), but we are young in many ways, ambitious and going places.Some people might say insurance is dull, but life at Hiscox is anything but. If that sounds good to you, get in touch. Work with amazing people and be part of a unique culture locations: Londontime type: Full timeposted on: Posted 30+ Days AgoIf you want to help build a brilliant future; work with amazing people; be part of a unique company culture; and, of course, enjoy great employee benefits that take care of your mental and physical wellbeing, come and join us.

Forward Deployed Engineer

Role Overview

We are looking for a versatile and highly skilled Forward Deployed Engineer to join our team. In this role, you will combine strong technical abilities with excellent communication skills, working directly with customers to ensure they maximize the value of HappyRobot’s AI platform. You will be involved in onboarding, implementation, and ongoing support, while also contributing to product development and innovation.

What You’ll Do

Customer-Facing Engineering - Work closely with customers from onboarding to ongoing usage, helping them integrate and optimize our AI solutions.
Technical Development - Build new features, MVPs, and scalable solutions that directly impact customer outcomes.
Full-Stack Development - Utilize React, TypeScript, Node.js, and Python to develop robust applications and tools.
AI/ML Applications - Design, implement, and iterate on AI/ML solutions, including LLM prompting, tuning of voices, and transcribers to optimize use cases.
Integration & APIs - Manage APIs and integrations with third party systems to ensure seamless functionality for customers.
Cross-Functional Collaboration - Partner with Product, Engineering, and Customer Success teams to deliver tailored solutions.
Iterative Problem-Solving - Continuously iterate and improve AI solutions based on customer feedback and evolving requirements.
Project Management - Prioritize and manage multiple projects under tight deadlines while maintaining high quality results.
Travel - Travel is expected approximately 50% to 75% of the time for customer discovery, workshops, demos, and onsite collaboration.

Must Have

Strong full stack experience: React, TypeScript, Node.js.
Hands on proficiency in Python.
Experience building AI/ML applications, including LLM prompting and tuning.
Ability to manage APIs and integrate with third party systems.
Excellent communication skills with the ability to explain technical concepts to non technical stakeholders.
Proven ability to prioritize and manage multiple projects under tight deadlines.
Founder mindset: highly independent, takes ownership, and thrives in a fast paced environment.

Why join us?

Opportunity to work at a high growth AI startup, backed by top investors.
Rapidly growing and backed by top investors including a16z, Y Combinator, and Base10.
Ownership & Autonomy - Take full ownership of projects and ship fast.
Top Tier Compensation - Competitive salary + equity in a high growth startup.
Work With the Best - Join a world class team of engineers and builders.

Founding Machine Learning Engineer

Our Mission

Human time and effort is the rarest thing in the universe. The fact that so many people hate what they do for work is a disaster on so many levels. How many people live quiet lives of misery? How many generational talents do we miss due to circumstance?

Dex’s mission is to close the gap between Talent & Opportunity; we believe that work, and being productive, is part of the human condition, that regardless of AI, human passion, ingenuity and a desire to do things means that work will always exist.

We are building Dex to create a future where technology helps every individual to understand their strengths, interests and unique abilities, and to connect with opportunities where they can thrive, because more people doing things they love leads to a better, happier and more productive world.

We’re starting by connecting the world’s most ambitious software engineers with the companies that deserve them.

About Dex

Dex is backed by a16z Speedrun, Concept Ventures and angels from OpenAI, Wise, ElevenLabs, Meta’s board, and many more.

We’re an ambitious, direct and kind group of people, we value authenticity, ambition and people who make things happen.

We’re a team of 12 (and growing) based in London (Borough). We work together 3-ish times a week because we value in person time, but we’re person centric and flexible. We hire adults who can manage their own schedules.

About the Role

ML engineering role, not a research role, not a prompt engineering role. You understand the underlying mechanics: how embeddings encode meaning, how attention shapes retrieval, and how to build and evaluate representations that power matching and ranking systems.
You use LLMs where they’re the right tool, but your first instinct is to understand the problem at a model level, not to reach for an API.
The work is concrete: building a system that takes a new role and stack ranks the entire candidate database against it in seconds.
You own the representations and scoring models that sit at the core of how Dex connects engineers with companies.
The matchmaking engine you build here is the foundation that powers everything that comes next-candidate facing products, automated outreach, smarter sourcing-so you’re building for durability, not just the immediate use case.
Your ML judgment is backed by solid engineering execution.

What You’ll Do

Own the matchmaking engine-build and improve the AI driven talent matching system; design representations, scoring models, and instrumentation from the ground up.
Work with embeddings and retrieval-build and evaluate embedding models, vector search, and semantic retrieval systems that power candidate to role matching.
Design and run evaluations-build practical eval frameworks for model behaviour and output quality; make rollout safety and failure handling first class concerns.
Contribute to agent and LLM systems-work on the voice agent backend and LLM pipelines with a model level understanding of what’s actually happening.
Ship reliable backend services-build production grade Python services, not prototypes; handle errors, retries, latency, and observability as standard.

About you

ML foundations-you understand how embeddings, attention, and retrieval systems work at a model level; you can reason about representations, not just API responses.
Production judgment-you know when to use an LLM, when to use classical ML, and when to use neither; you’ve made these calls in production, not just in notebooks.
Evaluation and guardrails mindset-you build evals before things go wrong; you design failure handling and rollout safety into systems from the start.
Backend execution strength-you ship reliable, maintainable services; your track record shows production ML systems, not just impressive demos.

Strong technical depth in:

Python backend (FastAPI or equivalent, async patterns, Postgres, Redis)
Embeddings, vector search, and semantic retrieval (building and evaluating, not just calling)
ML model evaluation-Metrics design, offline/online eval, failure analysis
LLM integration with model level understanding (attention, context windows, trade offs)

Nice to Have

Experience with recommendation systems, ranking models, or candidate/item matching
Classical ML background (supervised/unsupervised, feature engineering, gradient boosting)
Experience with voice agents or real time audio pipelines
Familiarity with Pydantic AI or similar agent frameworks
Experience in recruiting tech or marketplace systems

Why this is a great opportunity

Dex represents an opportunity to join a well funded, early stage business that is solving a real and relatable problem in a gigantic market.

This is an opportunity to build a brand from the early stages in a team that cares deeply about brand and design. We work in a market that has an absolute dearth of intentional brands and designs; we want to stand out from that.

There will be a generational company built in this space, we believe it’s going to be Dex.

What we offer

Above market salary-you’re building a world class team and believe pay should match that ambition.
Significant equity- we want this to be the last job you ‘have’ to take.
Full private healthcare & dental-because life happens and we want to support you.
Fertility benefits & enhanced parental support
Gym membership & wellness benefits
Claude tokens-lots and lots of Claude tokens
Regular socials, offsites, and an annual trip
MacBook Pro + team kit
“Whatever you need” approach to tools and support

Data Scientist

Denaee Fintech & Super App Group

Location: Hybrid, three days per week in our London office Email: Hours: Full Time Contract: Permanent Closing Date: 10 July 2026 In a Nutshell Denaee is developing a global fintech super app and deep tech solutions ecosystem that integrates digital banking, payments, virtual trading, AI driven systems, intelligent automation, advanced analytics, digital twin technologies, and connected software and hardware infrastructure. Data intelligence is central to our innovation strategy. We are seeking a highly capable Data Scientist to help transform complex data into actionable insights that strengthen our fintech platforms and intelligent technology systems. Your Role As a Data Scientist at Denaee, you will leverage advanced analytics, machine learning, and statistical modelling to enhance decision making across our fintech and deep tech services. You will analyse large scale financial, behavioural, and operational datasets to identify patterns, risks, and growth opportunities. Responsibilities include building predictive models, developing machine learning algorithms, designing experimentation frameworks, and delivering data visualisations that support executive and product strategy. You will collaborate with engineering, AI, product, and compliance teams to integrate scalable, secure, and high performance data solutions into our digital banking platforms and intelligent systems. Requirements Candidates should hold a degree in data science, statistics, computer science, or a related quantitative field, with advanced qualifications highly regarded. Proven experience in data analytics and machine learning within fintech, financial services, or advanced technology environments is essential. Strong proficiency in Python, R, SQL, and relevant machine learning libraries is required. You should demonstrate expertise in statistical analysis, predictive modelling, data governance, and visualisation techniques. Clear communication skills and the ability to translate complex analytical findings into strategic recommendations are critical. Why Denaee Joining Denaee means contributing to a forward looking organisation redefining finance through intelligent data driven fintech platforms and deep tech ecosystems. You will work alongside engineers, AI specialists, strategists, and product leaders committed to innovation and scalability. We offer a flexible hybrid working model, exposure to advanced digital infrastructure, and the opportunity to make a measurable impact on high growth financial and technology platforms. Be Yourself At Denaee, we value diversity, equal opportunity, and inclusive collaboration. We welcome applications from individuals of all backgrounds and foster an environment where diverse perspectives drive innovation. If you require any support during the recruitment process, please contact and we will ensure your experience is accessible and fully supported.

Kannon Risk and Profit & Loss (RPL) Specialist

Job Title

Kannon Risk and Profit & Loss (RPL) Specialist

Location

London

Corporate Title

Associate

Overview

The Kannon Middle Office (KMO) team works in partnership with Trading, Global Strategic Analytics (GSA), Finance and Operations to facilitate the delivery of accurate and complete trader Risk and Profit & Loss (RPL) on the Bank’s strategic valuation platform for the Fixed Income & Currencies (FIC) business.

The team supports multiple Front Office desks, overseeing intraday trade monitoring and end-of-day orchestration.

Members are responsible for investigating the root causes of issues and inefficiencies and for delivering immediate solutions where possible. Coverage spans Rates, Credit and Emerging Markets businesses, with product types including, but not limited to, Derivatives, Over-the-Counter (OTC), Exchange Traded, and Cash instruments.

You will work directly with trading and operations sitting on the trading floor to ensure trade bookings are complete and correct intraday, proactively monitor for discrepancies, orchestrate the end of day close, and assist in the substantiation of position risk tie out.

What we’ll offer you

Hybrid Working - eligible employees can work remotely for part of their working time and choose a working pattern that suits them.
Competitive salary and non contributory pension.
30 days’ holiday plus bank holidays, with the option to purchase additional days.
Life Assurance and Private Healthcare for you and your family.
A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits.
The opportunity to support a wide ranging CSR programme and 2 days’ volunteering leave per year.

Your key responsibilities

Monitor intraday trade bookings to ensure completeness and accuracy in Front Office systems.
Support the end of day close process, investigating booking issues as needed.
Liaise directly with Trading, GSA, and Infrastructure teams to escalate and remediate breaks.
Investigate root causes of operational issues and inefficiencies, proposing immediate solutions where possible.
Contribute to improving trade processing workflows, with a focus on control and automation.
Maintain a strong understanding of key product types: Interest Rate (IR) Swaps, Index and Single Name credit default swaps (CDS), Bonds, Futures. Assist with the substantiation of P&L variance.

Your skills and experience

Logical thinker with strong problem solving and analytical skills. Educated to degree level or equivalent qualification/work experience in Finance, Mathematics, Economics, or related field. A relevant professional qualification (CFA/ACA or master’s degree) is preferred.
Experience in a Middle Office, Product Control, or Risk and P&L role within an investment bank or financial institution.
Good product knowledge across Fixed Income and Credit derivatives.
Ability to build & maintain strong relationships with stakeholders. Strong communication skills, ability to engage with Trading and Infrastructure stakeholders.
Ability to work under pressure and to tight deadlines in a fast paced trading environment. Proactive, team oriented attitude with strong attention to detail.
Python for automation is an advantage.

How we’ll support you

Training and development to help you excel in your career.
A range of flexible benefits that you can tailor to suit your needs.
We value diversity and, as an equal opportunities employer, we make reasonable adjustments for those with a disability such as the provision of assistive equipment if required (e.g. screen readers, assistive hearing devices, adapted keyboards).

Data Science & AI Specialist

Job Location: GBR Ipswich - Adhara Building, GBR-London-BTHQ One Braham

Advertised Salary: Competitive + great benefits

Posting Date: 13/04/2026

Function: Data & AI

Location: Ipswich or London

Working Style: Hybrid (3 days a week in office, 2 days from anywhere)

About the role

We are renowned for designing and running the best operational teams in the industry. We support some of the biggest brands in the UK across both mobile and fixed networks and we invest heavily in our people and technology to make sure our customers get the best experience.

It’s in our culture to evolve and become better. With the emergence of AI, we are keen to embrace the technology and understand the art of the possible.

We are hiring a Data & AI Specialist responsible for designing and implementing a Data Strategy that will underpin our AI & Automation strategy in Network Operations. Data & AI sits at the heart of our transformation journey within the Network Operations team. By focusing on Data & AI, this role will be pivotal in driving our shift towards the next generation of operations teams.

The work involves delivering sophisticated data, Machine Learning (ML) and AI models in collaboration with our tooling teams to develop cutting edge automation. This will enhance the efficiency and reliability of our Network Operations and enable us to proactively address issues, optimise performance, and deliver superior service to our customers. Your contributions will be instrumental in creating a smarter, more responsive network that leverages the power of Data & AI to stay ahead in a rapidly evolving technological landscape. This will enhance customer experience, provide business value, and help us remain competitive.

As part of our transformation team, you will offer insights and expertise on Data & AI, ensuring alignment with business objectives. The team values are curiosity, transparency, and continuous improvement, which support strong stakeholder relationships.

This role offers opportunities to explore cutting edge technologies, develop skills, innovate, and advance your career.

What you’ll be doing

Leads the modelling and analysis of big data through the application of Data Science & AI techniques to generate insight from data to support decision making that underpins our automation and AI strategy within Network Operations.
Working with Network Operations Transformation team to develop and support our Data & AI workstream to implement AI driven network automation.
Provide expertise and guidance to tooling team in planning Data and AI projects from concept to implementation.
Acting as a transformation partner for initiatives involving data automation, AI/ML applications, and advanced analytics capabilities.
Collaborate with cross functional teams to ensure Data & AI solutions align with business needs and quality standards.
Lead the continual improvement of our Data & AI solutions, i.e. process improvements / operational monitoring / automation opportunities / security.
Contribute to upkeep of our strategic data platform architecture, the data engineering community and associated standards.
Continuously develop and share knowledge on emerging trends and changes in data science & AI.
Using Data Science: Provide data science expertise, identify trends and share business insights across the team.
Experience applying data analysis, modelling, and engineering practices to complex data sets.
Data & AI: Expertise in how data is stored, extracted, correlated and visualised. An understanding of how AI and automation can utilise the data layer. Understand what is required across the whole project life cycle to make data and AI projects successful.
Technical Expert: Drive or contribute to model development, including data exploration, training data, feature extraction, validation and scoring.
Knowledge or experience in coding skills relevant to data manipulation (e.g. PL/SQL, Python, R).
Strong understanding of data platforms, architecture, and tooling at a high level (you don’t need to be a data engineer, but someone who can partner credibly with them).
Be agile: Lead collaborative and agile ways of working through projects and programs effectively managing changing priorities.
Ability to adapt and respond to evolving technologies, tools, and business demands within a fast moving data landscape.
Clear communicator with the ability to present insights, assumptions, and limitations to both technical and non technical audiences, and to influence decision making.
Experience working collaboratively within multi disciplinary data teams, contributing to shared standards, peer review, and technical direction.
Business acumen: Knowledgeable in business strategy and the drivers of organisational performance, including people drivers of performance and financial literacy (e.g. business KPIs, business cases).
Enthusiastic about learning and applying new technologies (growth mindset).
Ability to build new solutions and support our data solutions/products.
Knowledge of automation frameworks and CI/CD for data products/models.
Experience with tooling such as Jupyter and Ab Initio.
Aware of LLM platforms (AWS Bedrock, OpenAI, Hugging Face), prompt engineering, distributed data systems (Kafka, Apache Pulsar), columnar databases (ClickHouse, Druid), and ETL/ELT tools.

Our Package

10% on target annual bonus
Access to an online private GP 24/7 for you and your immediate family
Market-leading paid carers leave with up to 2 weeks off
Equalised maternity, paternity, and adoption leave - 18 weeks’ full pay and 8 weeks’ half pay
Discounted EE and BT products, including mobile and broadband
Market leading Pension scheme - 5% from you and 10% from us
Holiday purchase scheme

The Role

As a Product Analyst at Air Apps, you will analyze both internal and external products to identify potential new functionalities, uncover bottlenecks, and provide data-driven insights to enhance user experience. You will collaborate with cross-functional teams to interpret product performance, optimize features, and support strategic decision making through actionable recommendations.

This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast paced environment. We are open to support with relocation efforts.

Responsibilities

Analyze product usage data to identify trends, friction points, and opportunities for improvement.
Evaluate competitor products to benchmark functionalities and propose innovative solutions.
Develop reports and dashboards to track key performance metrics.
Collaborate with product managers, designers, and engineers to enhance product features based on data insights.
Conduct A/B testing and experimentation to validate new functionalities and improve user engagement.
Provide actionable insights to support product roadmap decisions.
Identify and address bottlenecks in user flows and product performance.

Requirements

Around 3+ years of experience in product analytics, business intelligence, or a related field.
Strong analytical skills with experience in SQL, Python, or R for data analysis.
Proficiency with analytics tools (e.g., Google Analytics, Mixpanel, Amplitude).
Understanding of A/B testing methodologies and statistical analysis.
Experience with data visualization tools (e.g., Tableau, Looker, Power BI).
Strong communication skills to present insights clearly to technical and non technical stakeholders.
Ability to work in a fast paced, data driven environment.

What benefits are we offering?

Apple hardware ecosystem for work.
Annual Bonus
Top tier Health and Life Insurance for peace of mind.
Transportation Budget to support your commute needs.
Coverflex benefits package for meal allowances, well being, and more.
Childcare support.
Air Conference - an opportunity to meet the team, collaborate, and grow together.
Pension Fund to support your long term financial planning.
Urban Sports Club membership to keep you active.
Meals 100% free at the hub.

Diversity & Inclusion

At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.

The Role

As a Software Architect / Solutions Architect at Air Apps, you will be responsible for defining and overseeing the overall system architecture for our AI-powered platform. You will collaborate with engineering teams, product managers, and stakeholders to design scalable, secure, and high-performing solutions that align with business objectives.

You will play a key role in shaping our technology strategy, evaluating new tools and frameworks, and ensuring best practices in software design, cloud infrastructure, and system integration.

This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts.

Responsibilities

Define and maintain the overall architecture and system design for scalable and efficient software solutions.
Provide technical leadership to engineering teams, guiding them in best practices for architecture, coding, and system scalability.
Design and document high-level system diagrams, data flows, and API structures.
Evaluate and recommend technologies, frameworks, and cloud services to optimize performance, security, and cost-efficiency.
Ensure high availability, fault tolerance, and security in all architectural decisions.
Oversee system integrations, including microservices, APIs, and third-party services.
Work closely with DevOps and SRE teams to ensure smooth deployment and operational reliability.
Establish coding and architecture standards, ensuring maintainability and scalability of codebases.
Identify and mitigate technical risks, ensuring system resilience and future scalability.
Conduct architecture reviews and performance audits to continuously improve system efficiency.

Requirements

Around 6+ years of experience in software development and architecture.
Strong expertise in system design, cloud computing, and microservices architecture.
Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) and cloud-native architectures.
Proficiency in backend technologies (e.g., Node.js, Python, Java, .NET) and experience with modern frontend frameworks (e.g., React, Angular, Vue).
Knowledge of databases (SQL and NoSQL), caching strategies, and data pipelines.
Experience with event-driven architectures, API design, and containerization (Docker, Kubernetes).
Strong understanding of security best practices, identity management, and encryption techniques.
Ability to evaluate trade-offs in architectural decisions, balancing scalability, cost, and complexity.
Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (Terraform, CloudFormation).
Strong communication skills, with the ability to explain complex architectural concepts to technical and non-technical stakeholders.

What benefits are we offering?

Apple hardware ecosystem for work.
Annual Bonus
Top-tier Health and Life Insurance for peace of mind.
Transportation Budget to support your commute needs.
Coverflex benefits package for meal allowances, well-being, and more.
Childcare support.
Air Conference - an opportunity to meet the team, collaborate, and grow together.
Pension Fund to support your long-term financial planning.
Urban Sports Club membership to keep you active.
Meals 100% free at the hub.

Diversity & Inclusion

About 9fin

The world’s largest asset class, debt, operates with the worst data.

Technology has revolutionized equity markets with electronic trading, quant algos and instantaneous news. However, in debt capital markets, the picture is completely different. It still behaves like it’s in the 1980s; trillions of dollars of trades are placed over the phone, news is slow, and corporate credit information is imperfect and scattered.

Our mission is to change this.

9fin’s proprietary technology delivers fast and comprehensive financial, credit, legal & ESG analysis. Our clients are able to make faster, more informed decisions, win more business and most importantly, save time.

Our fast growing list of clients include 9 of the top 10 Investment Banks, leading Asset Managers, Hedge Funds and Law Firms.

What you’ll work on

This role is the opportunity to take on the technical leadership on projects, defining and designing systems, making quick proof of concepts and working closely with Product and our Clients.
Write code and lead others in the team in delivering new service functionality, implementing API’s, data routing/processing and automation mechanisms.
Development and engineering primarily on the backend services and web application hosted tools and systems of the 9fin platform.
Taking a leading role within project teams as an IC, running code reviews and mentoring of junior developers, involvement in early research and experimentation with new technologies providing input for new features and products.
Continually improve on the 9fin codebase taking the chance to automate, refactor and document when you can.
Variety: Our web platforms are incredibly diverse, from complex financial data modelling, capturing environmental, emission, energy data, incorporation of ML/AI prediction services, data visualisation serving and automation systems.
Collaboration and teamwork: Cross functional teams are formed for all projects including the appropriate domain expertise from 9fin financial, legal and editorial colleagues. This allows the best quality information and feedback to go directly to engineering project teams. Your ability to explain and break down complex projects to non technical audiences will enable productive and efficient team progress.
Developer Experience: Through managed automated preview environments, feature flags and well maintained non production environments. You will be able to move with velocity and get feedback and iterate quickly.

Our Backend Stack

Python is the dominant backend language used
Flask&FastAPI
Typing is used within our Python stack to power automated documentation and API definitions
Relational Databases (PostgreSQL) at the heart of majority of services
We’re AWS for Cloud hosted services
Heavy use of AWS lambda Serverless
Docker (AWS ECS) for uniform development/deployment from dev to prod

Requirements

This role will be a great fit if you:

Can effectively plan and reason about your software, understanding where it fits into systems and the overall business
Can think about how data will pass through your software; from persistent storage through to API endpoint
Experience with Python and its web frameworks (we currently use Flask, and are moving to FastAPI with Typing)
Strong experience delivering APIs, Service Oriented Architecture
Good working knowledge of SQL statements for retrieving data
A good collaborator and communicator with cross functional engineering teammates and others within 9fin
Code Quality: Through writing testable, maintainable code, and by engaging in code review for your own work and for reviewing others

Company Benefits

We’re a scaling start up and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel.

Financial & Insurance

Competitive Salary(our salary bands are benchmarked at the top end of the market)
Pension (your minimum contributions are 4% with 9fin matching up to 7%)
Private Medical Insurance
Paid sick leave with Income Protection for long periods of illness
Group Life Assurance
Season Ticket Loan&Cycle to Work schemes

Time off

25 holiday days per year
Local public holidays (with the ability to exchange them for alternative days)
Hybrid working model, to allow you the flexibility to decide how, where and when you do your best work
Work abroad for up to 3 months a year
1 month paid sabbatical after 5 years of service
Enhanced parental leave&flexible working arrangements available

Training & Culture

Professional learning and development budget
Quarterly team socials
Summer and Winter company social events

9fin is an equal opportunities employer

At 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you’re excited about this role but your experience doesn’t perfectly align with the job description, we encourage you to apply anyway. You might just be who we’re looking for - either for this role, or perhaps another.

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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.

Many companies in London now offer flexible or fully remote working arrangements for Python developers. Job listings usually specify if remote work is an option.