MS Dynamics Developer (Power Automate / D365 Finance & Operations) London, UK | Mid‑Level | Security Clearance Required I’m excited to share a new opportunity for a Dynamics 365 Finance & Operations Developer to join a growing, innovative environment where you’ll work across the full lifecycle of D365 F&O and Power Platform solutions. This position is ideal for someone who thrives in a hands‑on technical role and enjoys collaborating with business and technical teams to deliver high‑quality ERP and automation solutions.
You’ll be responsible for: - Customising and configuring Dynamics 365 Finance & Operations using Visual Studio, LCS, UDE, PPAC, X++, C# and extension models

• Supporting all phases of the D365 F&O implementation lifecycle
• Enhancing key modules such as Procurement, Vendor Management, General Ledger, Budgeting, Payments, and Travel & Expense
• Developing integrations using Power Automate, Dataverse, APIs, and virtual tables
• Building automated workflows, approval pipelines, and compliance‑driven logic
• Designing and maintaining Data Entities and DMF pipelines
• Creating low‑code solutions in Power Apps and exploring emerging AI capabilities
• Maintaining system documentation, performing code reviews, and providing 3rd‑line support
• Collaborating with finance, procurement, and operational teams to translate real‑world processes into scalable system logic. Further Details - OUTSIDE IR35 - Hybrid working model is available (Office London & Home) - £486.00 per day. If you’re interested in this role please send your CV to (url removed)

We’re looking for a hands-on Tech Lead who builds, ships, and leads by example. You’ll own architecture, contribute across the stack, and work closely with Product to turn ambiguous problems into impactful solutions. You’ll also integrate AI/LLM capabilities into production systems, ensuring reliable, real-world outcomes.

Key Responsibilities

• Translate business needs into scalable technical solutions
• Design and evolve system architecture
• Contribute across frontend, backend, and infrastructure
• Drive best practices in CI/CD, testing, and observability
• Build and optimise AI-powered features (LLMs, inference pipelines)
• Communicate clearly with technical and non-technical stakeholders
• Lead, mentor, and support engineers

Requirements

• 7+ years’ software engineering experience
• Proven Tech Lead or senior engineer experience
• Strong product mindset and ownership
• Full-stack capability (strong Python/backend focus)
• Experience with AI/LLM systems (or ability to ramp quickly)
• Excellent communication and leadership skills
• Comfortable in fast-paced, ambiguous environments

Nice to Have

• Experience with DDD, CQRS, or event-driven systems
• Background in large-scale or data-intensive platforms
• Familiarity with Go, Rust, or React

Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Lathom
50,000- 55,000 + 25 Days Holiday + Bank Holidays + Bonus Scheme + Up to 8% Pension + Training & Development

Excellent opportunity for a Control Systems Engineer with PLC and SCADA experience to join an industry leader offering the chance to work on cutting-edge technology, contribute to global projects, and develop your skills within a highly technical R&D environment.

This company are a global powerhouse in their field, known for world-class manufacturing, pioneering technology, and a long-standing reputation for innovation. Their R&D Process Control team plays a vital role in developing and rolling out advanced inspection and process control systems across international operations, forming a key part of their digitalisation and automation strategy.

In this role you will work across the full lifecycle of process control systems - from concept through to implementation. You’ll develop SCADA systems, program PLCs, create and enhance advanced control techniques (including PID, AI, and machine learning approaches), and support instrumentation and inspection tools used across global manufacturing sites. You’ll collaborate with cross-functional R&D and production teams to drive process improvements, troubleshoot complex challenges, and support both on-site and remote operations. Some occasional overseas travel may be required.

The ideal candidate will have experience in industrial process control, be strong with PLC and SCADA systems, and have a solid understanding of electrical/electronic principles. Candidates must have full right to work in the UK, be commutable to Lathom, and have excellent communication skills, strong problem-solving abilities, and good project/time management capabilities.

This is a fantastic opportunity to join a highly technical R&D team working with global stakeholders, advance your skills with new technologies, and contribute directly to the development of next-generation control and inspection systems.

The Role:
Developing and enhancing process control systems from concept to implementation
PLC programming, SCADA development, and advanced control techniques (including AI/ML)
Delivering instrumentation and inspection solutions to support global operations
Providing technical support, system upgrades, and occasional overseas travel

The Person:
Experience in industrial process control and PLC/SCADA systems
Engineering Degree (2:1 or above preferred)
Logical problem solver with strong communication skills
Commutable to Lathom and full right to work in the UK

Reference Number: BBBH(phone number removed)

Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles.

The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client.

We are an equal opportunities company and welcome applications from all suitable candidates.

Power Platform Developer (Contract)

Duration: 6 Months (Possibility for extension)

Location: London/Hybrid (3 days per week on site)

Rate: A highly competitive Umbrella Day Rate is available for suitable candidates

Role Overview

As a Power Platform Developer, you will be instrumental in developing and integrating applications using Microsoft Power Apps and Power BI. Your role will involve collaborating with cross-functional teams to design, implement, and maintain solutions that streamline our operations and improve decision-making processes.

Key Responsibilities:

• Develop high-quality applications using Power Apps (Canvas and Model-driven approach).
• Integrate Power Apps applications with Azure services to enhance functionality and performance.
• Collaborate with stakeholders to gather requirements and translate them into technical specifications.
• Create and maintain Power BI dashboards and reports to provide actionable insights.
• Work on API integrations to connect various applications and systems.
• Assist in optimizing existing applications and processes for better user experience and efficiency.
• Utilize Kofax or similar tools to enhance document processing and workflow automation.
• Engage with Mendix or other Low-Code Application Platforms (LCAP) to support development efforts.
• Write and optimize SQL scripts for data retrieval and manipulation in SQL/Oracle databases.

Skills & Experience:

• Proven experience in Power Apps development, with a strong proficiency in both Canvas and Model-driven approaches.
• Working knowledge of integrating Power Apps with Azure services to enhance application performance.
• Familiarity with HCL Notes (Lotus Notes) versions 9 to 12, and the ability to integrate with existing systems.
• Power BI proficiency, with a strong ability to create and manage reports and dashboards.
• API integration experience to connect various systems and improve application functionality.
• Some knowledge of Kofax or similar tools for document automation is advantageous.
• Knowledge of Mendix or other Low-Code Application Platforms (LCAP) to support rapid application development.
• Strong understanding of SQL/Oracle databases, with experience in writing and optimizing SQL scripts.
• Knowledge of AI & Copilot technologies and their application within business environments.

Candidates will need to show evidence of the above in their CV in order to be considered.

If you feel you have the skills and experience and want to hear more about this role ‘apply now’ to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team.

We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset.

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone’s chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.

As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment.

We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

Senior AI Engineer

We re looking for a hands-on Senior AI Engineer to build real-world AI systems that deliver measurable impact across customer journeys and internal operations. This role is all about turning emerging AI capabilities-LLMs, agentic systems, ML models, workflows, and AI services-into robust, production-ready solutions.

What You ll Do

• Design, build, and integrate AI applications into end-to-end workflows.
• Embed agentic AI into customer and operational processes with reliability, resilience, and safe fallback behavior.
• Collaborate with Product, Engineering, Data, and Operations to take AI solutions from concept to production.
• Establish best practices for orchestration, testing, monitoring, and operational safeguards.
• Evaluate emerging AI capabilities and translate them into practical, high-value implementations.

What We re Looking For

• Strong software engineering background (Python), with experience delivering production AI or ML-integrated systems.
• Hands-on experience with LLMs, AI services, or agentic AI frameworks.
• Practical understanding of AI production concerns: latency, resilience, observability, safety, and maintainability.
• Systems thinker who collaborates effectively across teams and communicates clearly.
• Passion for applied AI and agentic systems, with a focus on turning capabilities into tangible outcomes.

Bonus if you have: AWS AI/ML experience, building autonomous workflows, regulated industry exposure, or contributions to the AI community.

Benefits:

• Training and development budgets
• A culture of collaboration and growth so your career can become what you want it to be.
• Hybrid working balance of remote working and on-site to suit your work/life balance.

Join us and help shape the future of AI-driven systems in a fast-moving, hands-on environment.

Interested? Please Click Apply Now Senior AI Engineer (Agentic AI) Applied AI in Production

Software Engineer | Building Intelligent Systems That Make an Impact

London, Manchester or Cheltenham

4 or 5 days a week on site

Existing SC or DV Clearance is required

National Security Sector

Tech: JAVA/C++/Python - or Devops/Data Background

An exciting opportunity has arisen for a Software Engineer to join a cutting-edge team developing impactful, mission-driven technology. The role offers the chance to contribute to projects such as AI-powered tools for analysts and operators, secure data pipelines, and innovative prototypes that explore new frontiers in software capability.

You’ll become part of a tight-knit, highly capable engineering group that values independence, precision, and tangible outcomes. This is a place for people who enjoy solving complex problems, experimenting with new ideas, and seeing the real-world effects of their work.

Key Skills and Attributes

• Skilled in producing robust, readable, and scalable code
• Adaptable and eager to master new technologies or unfamiliar environments
• Excellent communicator who thrives in cross-functional collaboration
• Engaged participant in agile processes, including stand-ups and sprint reviews
• Comfortable taking projects from initial concept through to delivery
• Analytical thinker who can decompose challenges and deliver iterative value

Preferred Background

• Experience using Java, C++, or Python
• Understanding of data-intensive systems, backend services, or cloud-based platforms
• Familiarity with regulated, high-security, or mission-critical development contexts
• Confidence working in research-led or exploratory project settings
• Curiosity about artificial intelligence, public sector innovation, or national security technology
• Interest in influencing technical direction and supporting team evolution over time

This role is ideal for someone who wants to push boundaries, collaborate with talented peers, and build software that delivers genuine impact. You’ll have the autonomy to explore, innovate, and shape solutions that matter.

Summary:

Our client is a leading tech-driven quant and systematic hedge fund trading with offices across the globe. They leverage deep knowledge in data, research, technology and trading to deliver high-quality returns. This opportunity offers a dynamic and fast-paced environment with excellent prospects for career growth.

Looking for a Quant Developer to join the Risk team, responsible for building and maintaining tools to support trading risk analysis and reporting. Working alongside the very best Fixed Income Risk Managers, Traders & Researchers, you’ll develop robust, scalable & consistent risk infrastructure in response to specific requirements. You’ll also build tools and frameworks to process & analyse large volumes of market and trade data across fixed income products.

This role would suit someone with exceptional communication skills and thrives on working collaboratively, bridging the gap between technical and trading teams.

Requirements

• 5+ years’ software engineering experience + strong coding (ideally in Python)
• Strong understanding of risk measures & sensitivities, and their fixed income trading application
• Deep-level knowledge of fixed income products
• Proficient capturing trading & risk requirements and translating them into technical solutions
• Familiarity with databases, APIs, and microservices architecture

Benefits:

• Great opportunity to be part of a collaborative, creative environment where you can feel valued for your input
• Competitive salary + generous benefits
• Professional and personal development
• Relaxed, casual culture, with a healthy work-life balance

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

Contact
If you would like to know more about this position, please do not hesitate to get in touch!

Mike McLoughlin
mike.mcloughlin@oxfordknight.co.uk
https://www.linkedin.com/in/michaelmcloughlin00/

Our client is a leading tech-driven quant and systematic hedge fund trading with offices across the globe. They leverage deep knowledge in data, research, technology and trading to deliver high-quality returns in a dynamic and fast-paced environment, with excellent opportunities for career growth.

Looking for a motivated Python Quant Developer to work within a trading desk alongside Quant Researchers and Traders where you will have a direct & immediate impact on the desk’s success. Your primary focus will be building applications to provide market data & insights to inform trading decisions. This role offers exposure to many aspects of volatility trading, including derivatives pricing, data management and analytics structure (cloud computing and ML technologies).

The ideal candidate is tech-driven, with experience developing trading apps and/or setting up trading framework.

Requirements

• 1-3 years’ professional experience, likely at a bank or a fund
• Comfortable in Python, in particular Python libraries: numpy, pandas, matplotlib, etc.
• Proficient with AWS
• Good knowledge of SQL and relational databases
• Outstanding communication skills

Desirable

• Available to start immediately
• Knowledge of financial derivatives and options

Benefits

• Great opportunity to be part of a collaborative, creative environment where you can feel valued for your input
• Competitive salary + generous benefits
• Professional and personal development
• Relaxed, casual culture, with a healthy work-life balance

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

Contact
If you feel you are a strong match for this role, please do not hesitate to get in touch:

Dominic Copsey
dominic.copsey@oxfordknight.co.uk
+44 (0) 203 475 7193
linkedin.com/in/dom-copsey-586478143/

Quantitative Developer – Research Team - Hong Kong - Relocation Packages

A leading global trading firm is looking for a Quantitative Developer to join its research technology group. This team builds the infrastructure powering trading signal research, enabling researchers and traders to test and scale strategies across global markets.

What you’ll do

• Design and build Python and C++ tools for quant research and signal generation
• Partner with researchers and traders to translate requirements into software solutions
• Handle large-scale data ingestion and processing pipelines
• Implement and optimize algorithms, including regressions and machine learning models
• Leverage HPC and distributed systems for performance and scalability
• Maintain, troubleshoot, and improve existing platforms

What we’re looking for

• 5+ years of hands-on coding experience solving complex problems
• Strong skills in Python and/or C++
• Exposure to distributed computing, ML, platform design, or system architecture
• Passion for technology, mathematics, and quantitative problem-solving
• Ability to work autonomously and mentor others

This is a unique chance to contribute at the heart of a global trading research team, combining software engineering with quantitative innovation.

Leading industry compensation & relocation available

Senior Market Data Developer – End-of-Day Pricing & Risk Infrastructure

Position / Group description:

The Risk Technology group builds and supports a global risk platform enabling the Risk Management group to oversee all areas of risk across the Firm. The risk platform provides capabilities for measuring, quantifying, analyzing, reporting, and controlling exposures across market and credit.

We are seeking a Market Data Developer to design and implement solutions for sourcing, storing, and delivering end-of-day (EOD) market data used in pricing and risk calculations. This role requires strong technical skills in Python, SQL, Snowflake, AWS , and deep domain knowledge of market data across multiple asset classes. The candidate will work closely with the Risk Orchestration team to provide accurate and timely market data inputs for pricing engines and risk models.

Primary Responsibilities:

Data Sourcing & Integration

• Source EOD market data by region from various front-office marking systems and external providers.
• Validate and normalize data across asset classes for pricing and risk consumption.

Data Modeling & Storage

• Design and implement data models in Snowflake to persist: End-of-day prices, Volatility surfaces, Credit spread curves, Discount curves and other risk-related market data

Infrastructure Development

• Provide solutions to pricing engines to deliver market data by region with high reliability and performance.
• Build scalable, cost-efficient Snowflake infrastructure and optimize queries for performance.
• Implement data quality checks and ensure auditability.
• Integrate with AWS SQS messaging for data readiness events.

Collaboration

• Work closely with Market Data and Risk teams to define canonical market observables and maintain data lineage.
• Work closely with Risk Orchestration team to ensure all market data inputs meet requirements for pricing and risk analytics.

Essential Experience/ Skills:

• 7+ years of hands-on experience in developing applications using Relational Databases and Big-data platforms.
• Strong Python (pandas, numpy, data engineering best practices).
• Advanced SQL and Snowflake (schema design, warehouse management, streams/tasks, query optimization).
• ETL/ELT pipeline development

Domain Knowledge:

• Market data concepts across multiple asset classes (Rates, FX, Credit, Equities, Commodities).
• Understanding of EOD pricing and risk inputs for VaR, sensitivities, and stress testing.
• Bachelor’s degree, preferably in Computer Science, Engineering, Mathematics, or similar technical discipline

Personal Attributes:

• Strong analytical and problem-solving skills, including the ability to troubleshoot and resolve complex data related issues
• Strong verbal and written communication skills
• Self-starter and entrepreneurial in approach
• Ability to escalate and follow-up proactively
• Good time management skills

At Jefferies, we believe that diversity fosters creativity, innovation and thought leadership through the infusion of new ideas and perspectives. We have made a commitment to building a culture that provides opportunities for all employees regardless of our differences and supports a workforce that is reflective of the communities where we work and live. As a result, we are able to pool our collective insights and intelligence to provide fresh and innovative thinking for our clients.

Jefferies is an equal employment opportunity employer. We practice equal opportunity for all, and all qualified applicants will receive consideration for employment without regard to race, creed, color, national origin, ancestry, religion, gender, pregnancy, age, physical or mental disability, marital status, sexual orientation, gender identity or expression, veteran or military status, genetic information, reproductive health decisions, or any other factor protected by law. We are committed to hiring the most qualified applicants and complying with all federal, state, and local equal employment opportunity laws. As part of this commitment, Jefferies will extend reasonable accommodations to individuals with qualified disabilities, as appropriate, under applicable law.

Senior Market Risk Developer – Historical Timeseries

Position / Group description:

The Risk Technology group builds and supports a global risk platform enabling the Risk Management group to oversee all areas of risk across the Firm. The risk platform provides capabilities for measuring, quantifying, analyzing, reporting, and controlling exposures across market and credit.

The position is for a Techno-Functional Developer to design, enhance, and maintain the Market Risk Time Series infrastructure built on Snowflake and AWS. This role requires strong technical skills combined with deep domain expertise in market risk, including VaR , end-of-day market data , and historical time series. The candidate will work closely with the Market Data team and Risk stakeholders to ensure accurate, scalable, and auditable data solutions for risk analytics.

Primary Responsibilities:

• Data Sourcing & Integration
• Source historical market data from multiple internal and external providers.
• Integrate with quant libraries to identify data quality issues and validate risk inputs.

Data Quality & Remediation

• Integrate with Quant APIs to detect and remediate common data quality issues (gaps, stale data, outliers, misalignments).
• Implement algorithms for gap-filling, back-filling, and anomaly correction to ensure data is fit for VaR and SVaR calculations.

Infrastructure Development

• Build and enhance Snowflake-based time series infrastructure for scalability and performance.
• Develop Python ETL/ELT pipelines and optimized SQL models for historical time series storage and retrieval.

Collaboration & Governance

• Work closely with Market Data and Risk teams to define canonical market observables and maintain data lineage.
• Ensure reproducibility and auditability of risk inputs for regulatory compliance.

Essential Experience/ Skills:

• 7+ years of hands-on experience in developing applications using Relational Databases and Big-data platforms.
• Strong Python (pandas, numpy, data engineering best practices).
• Advanced SQL and Snowflake (warehouse management, streams/tasks, query optimization).

Domain Knowledge

• Market risk concepts: VaR, SVaR, sensitivities, stress testing.
• Handling end-of-day market data and historical time series across asset classes.
• Techno-Functional
• Ability to translate risk requirements into technical solutions and data contracts.
• Bachelor’s degree, preferably in Computer Science, Engineering, Mathematics, or similar technical discipline

Personal Attributes:

• Strong analytical and problem-solving skills, including the ability to troubleshoot and resolve complex data related issues
• Strong verbal and written communication skills
• Self-starter and entrepreneurial in approach
• Ability to escalate and follow-up proactively
• Good time management skills

At Jefferies, we believe that diversity fosters creativity, innovation and thought leadership through the infusion of new ideas and perspectives. We have made a commitment to building a culture that provides opportunities for all employees regardless of our differences and supports a workforce that is reflective of the communities where we work and live. As a result, we are able to pool our collective insights and intelligence to provide fresh and innovative thinking for our clients.

Jefferies is an equal employment opportunity employer. We practice equal opportunity for all, and all qualified applicants will receive consideration for employment without regard to race, creed, color, national origin, ancestry, religion, gender, pregnancy, age, physical or mental disability, marital status, sexual orientation, gender identity or expression, veteran or military status, genetic information, reproductive health decisions, or any other factor protected by law. We are committed to hiring the most qualified applicants and complying with all federal, state, and local equal employment opportunity laws. As part of this commitment, Jefferies will extend reasonable accommodations to individuals with qualified disabilities, as appropriate, under applicable law.

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

Job Overview
Citi, the world leading global bank, has approximately 200 million customer accounts and a presence in more than 160 countries and jurisdictions worldwide. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Citi enables clients to achieve their strategic financial objectives by providing them with cutting-edge ideas, best-in-class products and solutions, and unparalleled access to capital and liquidity.

The Team:
Cloud Technology Services (CTS) is responsible for looking after Citi’s Cloud programme across Public and Private Cloud. It has several new and exciting programmes utilising cutting edge cloud and container technologies, with a view to ensuring that our offerings are best in class and enable our wider business lines and clients alike.

The job:
This role sits within the newly formed GenAI Security team, which is responsible for ensuring, maintaining, and improving the security of our GenAi Prompt security capabilities within the firm. You will be responsible for engineering solutions that strengthen and broaden our security capabilities in an environment that is changing daily whilst also working with vendor products to achieve the same aims. You will have the opportunity to partner with key Engineering teams, alongside Operations and Site Reliability Engineering.
Effective capabilities that combine security and engineering excellence are key to success.

What the role covers:

• Designing, developing, optimizing, and enhancing a GenAI prompt security platform to protect firm AI/LLM-based applications from adversarial attacks and prompt injections.
• Building and automating a security testing framework to validate protection mechanisms for various LLM use cases.
• Owning solutions that are expected to operate and perform at scale across the organisation.
• Collaboration with multiple stakeholders and partners across Engineering and Operations as well as partner teams within the wider Citi organisation, across different time zones.

Job Skills/ Qualifications:

• Highly motivated self-starter with excellent interpersonal and problem-solving skills
• Bachelor’s degree or equivalent work experience
• Good oral and written communication skills
• Significant relevant industry work experience
• Experience of the full lifecycle of design, implementation and running of enterprise software solutions involving cross functional team collaboration
• Expertise in a major programming language such as Python and/or Go, and associated tooling (Git, Maven, IDEs, Jenkins, Bitbucket etc)
• Expertise in designing and implementing secure APIs and libraries.
• Experience in Generative AI, LLM frameworks, LLM prompt engineering and/or adversarial testing is a bonus.
• Experience with Cyber engineering and Operations, which could include DevSecOps or MLSecOps.
• Experience contributing to the architecture and design (architecture, design patterns, reliability, scaling) of new and current systems
• Experience in containerized deployment (Kubernetes, OpenShift etc).
• Expertise with DevOps, CI/CD and agile methodology

What we can offer you:

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

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

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

Job Family Group:
Technology ------------------------------------------------------
Job Family:
Systems & Engineering ------------------------------------------------------
Time Type:

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

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

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

About the Role

We’re seeking a Principal AI Engineer to lead the design and implementation of advanced AI solutions across our product and business ecosystem.

This is a unique opportunity to define and deliver an organisation-wide AI strategy — combining hands-on technical work with cross-functional influence to drive real impact.

You’ll work closely with senior technology and business leaders to shape how AI is embedded across products, operations, and internal processes. The role offers autonomy, scope, and visibility — ideal for someone who thrives at the intersection of deep technical expertise and strategic thinking.

What You’ll Do

• Design, build, and deploy AI-powered systems and features that enhance product functionality and user experience.
• Develop and integrate agentic frameworks, RAG pipelines, and vector database architectures to support natural language and intelligent automation use cases.
• Fine-tune and customise LLMs (e.g. OpenAI, Anthropic, and other models) for specific business applications.
• Collaborate with engineering and data science teams to implement MLOps best practices — from deployment and monitoring to continuous iteration.
• Partner with commercial and operational teams to identify and automate processes that can be enhanced through AI tools.
• Ensure responsible and secure use of AI through data governance, model guardrails, and compliance measures.

About You

• Deep expertise in Python, machine learning, and data science.
• Experience building, deploying, and scaling AI models in Azure and/or AWS environments.
• Skilled in using LangChain, LangGraph, vector databases, and prompt engineering.
• Understanding of LLM optimisation, including context extension and RAG-based frameworks.
• Proven ability to collaborate cross-functionally and communicate complex AI concepts to non-technical teams.
• A proactive, creative mindset — comfortable operating with autonomy to build scalable, production-grade AI systems.

Preferred qualifications:

• Advanced degree (MSc/PhD) in Computer Science, Data Science, or a related STEM field.
• Experience with Azure Foundry, AWS SageMaker, or other model-serving tools.
• Prior exposure to SaaS, enterprise, or data-rich product environments.

Why This Role

• Play a central role in defining and executing an organisation-wide AI roadmap.
• Work directly with senior leadership on strategy and implementation.
• Shape the next generation of intelligent, data-driven products.
• Hybrid working environment with flexibility for deep technical focus and collaboration.
• Competitive compensation and the opportunity to build at scale in a high-growth environment.

If you’re passionate about building intelligent systems that create measurable impact — this is your opportunity to lead from the front.

Role Title: Equity Derivatives Quant Developer Duration: 6 month contract Location: London, Hybrid Rate: up to £950 p/d Umbrellainside IR35 Role purpose / summary 1. 3-7 years working as a Quantitative Developer and collaborating with quant modelers, IT development, other risk departments 2. A degree in mathematical finance, science or maths from a top tier university 3. Knowledge of the standard pricing models used in the investment banking industry 4. Five or more years Python experience required 5. Knowledge of distributed computing and serialisation techniques 6. Test-drive development and automated CI/CD pipelines 7. Knowledge of C++ or RUST Desirable Knowledge, Skills & Experience 1. Knowledge of instrument pricing, sensitivity calculations, VaR, ES and other risk measures. 2. Knowledge of the main instruments used in Equities and Equity Derivatives 3. Good knowledge of Excel 4. Experience of data analysis 5. Ability to work in fast-paced environment with proven ability to handle multiple outputs at one time All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!

ABOUT US:

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

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

OUR PEOPLE:

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

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

ROLE SUMMARY:

The Principal Engineer is a senior technical expert responsible for designing, developing, and delivering high-quality software solutions.

This role emphasizes deep technical proficiency, innovation, and hands-on development, including advanced work in AI technologies such as prompt engineering and large language models (LLMs).

The ideal candidate will serve as a technical authority, proving concepts with the latest AI technology or practices in the form of a spike or proof of concept.

This person will be responsible for pushing the boundaries of what is possible, turning vision or concept into a technical solution, driving best practices and ensuring scalability, performance, and security across systems.

WHAT YOU’LL BE DOING:

Software Development

• Design and implement complex, scalable, and secure applications.
• Write clean, efficient, and maintainable code in Java, Python, and other high-level languages.

Technical Expertise

• Provide architectural guidance and ensure adherence to best practices.
• Optimize system performance and troubleshoot critical issues.

AI Development

• Develop and refine prompt engineering strategies for LLM-based applications.
• Integrate and optimize Large Language Models (LLMs) into products and workflows.
• Collaborate with AI teams to improve model performance and user experience.

Innovation & Research

• Stay current with emerging technologies, frameworks, and AI advancements.
• Prototype and evaluate new tools and methodologies for adoption.
• Collaboration
• Work closely with product managers, QA, and other developers to deliver high-quality solutions.
• Participate in code reviews and contribute to technical documentation.

Process & Quality

• Advocate for automation, testing, and continuous integration practices.
• Ensure compliance with security and regulatory standards.

WHAT YOU’LL BRING:

• 12+ years in software development, with a least a year in AI Development.
• Extensive experience in software development and system architecture.
• Proven ability to deliver complex projects with high technical standards.
• Strong technical background in Java, Python, and/or other high-level programming languages.
• Expertise in designing scalable and secure systems.
• Hands-on experience with AI tools and frameworks, including:
  • Prompt Engineering for LLMs (e.g., OpenAI GPT, Anthropic Claude).
  • Model fine-tuning and deployment.
  • AI integration into enterprise applications.
  • Prompt management tools (Langfuse)
  • Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG).
• Experience with cloud platforms (AWS, Azure, GCP).
• Familiarity with CI/CD pipelines and modern development tools.

Career Stage:
Manager

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.

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

Job Overview
The Role:
We’re on the hunt for a highly skilled and experienced senior engineer to lead the design and development of the various AI services as part of the Citi Innovation Labs. The ideal candidate has excellent track record leading teams of engineers and/or data-scientists and building high-scale engineering products, specifically AI solutions. In this role, you’ll be a key player in driving innovative AI projects throughout the bank.

Team:
Citi Innovation Labs is a global network of innovation centers focused on delivering cutting edge solutions to all of Citi’s lines of business.
Our Mission is to create a competitive advantage for our clients, manifested as change in the way they operate, by providing innovative technological solutions with strong client engagement, from idea to production, and by leveraging the entrepreneurial spirit and technological excellence fostered in the Innovation Labs.

Our Labs Network is a global organization that spans across New York, London, Tel Aviv, and various other locations globally. We focus on delivering innovative products using cutting-edge technologies in highly complex architectures and with the highest delivery standards. The Innovation Labs team perform research and implementation in many advanced domains spanning across AI, Machine learning, NLP, Analytics, and many more.

Responsibilities:

• Lead development of highly complex AI solutions, infrastructure, and architecture topics
• Lead a team of engineers and data-scientists
• Actively contribute to software development, both as a coder and as a reviewer
• Manage executive stakeholder audience in technology by acting as a partner, trusted advisor and operating through influence
• Work with internal and external partners to design, validate, and deliver solutions with a commercial benefit for Citi
• Manage multiple concurrent initiatives and projects of varying sizes & complexity
• Engage with data-science, technical and business stakeholders to define and design overall architecture for key use-cases across our lines of business
• Work with external vendors and start-ups around joint initiatives and around exploration of new directions
• Partner with Citi’s Risk and Governance partners to ensure best practice is followed from the perspectives of good governance, risk management, standardization, and tooling.

Qualifications:

• Significant experience in the software industry
• Proven experience in senior positions as principal engineer or architect
• Experience with cloud architectures, and specific experience with public cloud offerings
• Proficiency in programming languages such as Python.
• Experience as a people manager
• Highly experienced in delivering complex solutions to production, preferably in Python and AI/ML ecosystem
• Great passion and proven hands-on experience integrating with AI/ML technologies
• Strong and diverse technical background. Ability to quickly learn and understand new technologies, influence highly skilled engineering teams and overall have a personal impact on technology decisions and vision.
• Excellent communication skills
• Leadership and organizational abilities
• Excellent analytical and problem-solving skills
• Strategic thinker
• Experience in the financial industry - major advantage

What we’ll provide you
This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career.
By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

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

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

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

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

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

ABOUT US:

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

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

OUR PEOPLE:

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

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

ROLE PROFILE:

The Senior Enterprise Tools Engineer will be a key member of the Engineering organization, responsible for designing and developing integrations across the Enterprise Tools ecosystem to enable seamless data flow, analytics, and AI-driven solutions across the enterprise. This role blends REST API-based integrations, data engineering fundamentals, and AI automation to streamline information exchange and improve decision intelligence across platforms.

WHAT YOU’LL BE DOING:

• Crafting, build, and maintain REST API-based integrations across enterprise platforms to support unified data sharing and workflow automation
• Architecting and implementation of middleware or service-layer solutions (e.g., Dell Boomi, Kafka, API Gateways) to support scalable, event-driven integrations
• Developing data pipelines and integration patterns that enable GenAI solutions, predictive-analytics, and intelligent automation across the tool stack
• Collaborate with multi-functional teams to ensure data consistency, reliability, and accessibility across enterprise systems
• Maintain high standards of security, performance, and observability in all integration solutions.
• Work with LSEG Architecture group in defining potential technology solutions and ensuring adherence to architectural principles
• Collaborate with business and functional leads to socialise technology projects and obtain cross functional approvals from Legal, Group Risk, Compliance, LCH Ltd/LCH SA

WHAT YOU’LL BRING:

• REST API & Integration Engineering
• Integration patterns: synchronous/asynchronous, event-driven, webhooks, retries, idempotency
• API security (OAuth2, JWT, API Gateways, mTLS)
• One or more Middleware, Messaging and Service Layer Technologies like Dell Boomi, Kafka, Azure Integration Services, or similar
• Experienced in AI and Data Foundations, with hands-on integration of AI services, LLMs, and analytics platforms, and a strong background delivering GenAI/LLM-led solutions.
• Cloud platforms like AWS or Azure
• Working knowledge of Atlassian tools like JIRA and Confluence, Project management tools like Clarity or Planview and Service Now
• Stakeholder Management, Reporting Frameworks
• Proven experience software development lifecycle and agile methodologies
• Highly organised communicator with strong planning, stakeholder management and global collaboration experience, confident in challenging assumptions and engaging optimally at all organisational levels

Career Stage:
Manager

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.

Job Description

We are currently recruiting an exciting opportunity for an AI and Automation Specialist to join our IT team.

Role Overview

In this hands-on delivery role, you will lead the build and deployment of automation and agent solutions using Microsoft 365 tooling. You will turn prioritised use cases into secure, reliable releases, while establishing repeatable delivery approaches for the future. You will work closely with Information Security, Cyber and Technology Risk to ensure that delivery aligns to policy and control requirements.

Responsibilities include:

• Configuring and enhancing CoPilot Studio agents and Power Automate workflows within agreed boundaries.
• Shaping technical delivery options for each use case, selecting pragmatic patterns that can be reused and scaled.
• Implementing secure controls, including permissions, access boundaries, and least privilege.
• Producing production ready assets including error handling, logging, support notes, and handover documentation.
• Supporting testing and release activity, including defect resolution and early life support.
• Contributing to benefits capture by defining measurable outcomes for delivered solutions and supporting evidence collection.

Person Specification

The ideal candidate will have strong working knowledge of Microsoft 365 automation and agent tooling, including Power Automate and CoPilot Studio. You will have a deep understanding of identity, access and permissions in M365, and how these affect data exposure. Experience working in regulated environments with strong control expectations and auditability is essential. You will also demonstrate a strong understanding of data access and information risk concepts, and will demonstrate a strong knowledge of delivery standards for production releases.

About Us

Transact is a leading UK investment wrap platform for financial advisers and their clients. Our culture is collaborative, inclusive and open-minded. We work hard to continually challenge the way we do things to maintain our market leading status.

As a customer-centric and client-focused business, we put our clients, like Mrs Miggins, at the heart of everything we do.

Our platform enables clients and their advisers to manage their financial portfolio in one single online place, and is supported by unrivalled personal service. Our goal is to make all aspects of portfolio management as easy and efficient as possible for everyone involved, through the features we develop, our integrations with other systems, and the support we provide.

Our purpose : We enable the Miggins family and their adviser to hold their investments on a single platform across wrappers. We provide custody, tax wrapping, trading and reporting.

Our strategy : We make financial planning easier for advisers by delivering great service. Our platform helps advisers grow revenues and reduce risk and cost in their business. We will always have control of our technology, wrappers and service.

Our values : We do the right thing for customers, advisers, staff, shareholders, suppliers and the wider community.

Transact’s parent company, IntegraFin Holdings plc, is listed on the London Stock Exchange and is a constituent of the FTSE 250 index. Established in 2000, today we have over £77.2 billion of funds under direction on behalf of over 249,000 investor clients (as at December 2025).

Equal Opportunities

We provide a diverse and inclusive workplace and ensure that all of our staff respect and understand individual differences. We are an equal opportunities employer and positively encourage applications from suitably qualified and eligible candidates regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex or sexual orientation.

Senior Machine Learning Engineer | Cambridge / Hybrid | £80,000–£120,000 + Bonus Join a fast-growing FinTech/InsurTech company in Cambridge that is transforming how financial and insurance products are built using machine learning and data-driven decision-making. Their platform leverages advanced ML models to power areas such as fraud detection, risk modelling, underwriting optimisation, and customer analytics, enabling smarter and faster decisions at scale. With strong investment and a product-led engineering culture, they are looking for a Senior Machine Learning Engineer to play a key role in building and deploying production-grade ML systems. The Role \* Design, build, and deploy machine learning models for fraud detection, risk scoring, and predictive analytics \* Develop scalable ML pipelines and work closely with data engineering teams \* Collaborate with product and domain experts to translate business problems into ML solutions \* Optimise model performance and ensure reliability in production environments \* Contribute to architecture and best practices across ML and MLOps Key Skills & Experience \* 4+ years’ experience in machine learning or AI roles \* Strong Python skills, with experience in frameworks such as PyTorch, TensorFlow, or Scikit-learn \* Experience deploying ML models into production, including MLOps, CI/CD, Docker, and Kubernetes \* Solid understanding of statistics, data modelling, and software engineering principles \* Experience with cloud platforms such as AWS, GCP, or Azure \* Exposure to financial services or insurance domains is advantageous, but not essential What’s in It for You? \* Work on high-impact ML systems solving real-world financial and risk challenges \* Join a collaborative, engineering-first environment with strong technical ownership \* Competitive salary of £80,000–£120,000, plus bonus \* Flexible hybrid working with a Cambridge-based office \* Clear progression and the opportunity to influence ML strategy What’s in It for You? Apply now or reach out directly for a confidential discussion about this and similar opportunities

Python | Data Science | A/B Testing | Commercial Analytics | Azure | Gen AI | Partnerships | SaaS | FinTech | Do you want to work with a business that partners with 400+ companies across 75+ countries, using AI to drive revenue and improve customer experience? A business founded in 2016 that’s scaling globally, working with leaders across Travel, Ticketing, Hospitality and OTAs, and genuinely investing in people early in their careers? A people-first, high-performance environment where being commercially minded, personable, and easy to work with matters just as much as technical ability? An opportunity to join a fast-growing AI SaaS scale‑up as a Data Scientist acting as the analytical lead for partner performance and commercial strategy. You’ll work together with Partnership Managers and external stakeholders, translating data into clear, actionable insights. This role is ideal for someone who enjoys collaboration and stakeholder interaction. Joining a collaborative data team, you’ll focus on revenue, pricing, conversion and experimentation. You’ll design and run A/B tests, build commercial and pricing models, and create web apps and dashboards that enable non-technical teams to make data driven decisions. You’ll also play a key role in Gen AI initiatives, automating insights and improving partner reporting. You’ll work end to end with data, from ingestion and pipelines in Azure, through modelling in Python, to presenting insights directly to partners and senior stakeholders. The role offers a competitive salary, hybrid working from Leeds, clear progression, and the chance to work with smart, ambitious people in a genuinely growing AI business. If it ticks those boxes, don’t hang about, apply now or email me on - (url removed) Python | Data Science | A/B Testing | Azure | Gen AI | Commercial Analytics | FinTech | SaaS | Partnerships

Tech Lead – Python / Financial Modelling / AI - Pensions £650 – £750 per day Outside IR35 6 Month Contract Remote (Occasional London Travel) Overview I’m currently working with a leading financial services technology consultancy that is looking to bring in an experienced Tech Lead to support the delivery of modern software solutions for a major pensions client. This role sits at the intersection of financial modelling and modern engineering, supporting the development of platforms used for forward-looking financial analysis, including discounted cashflow projections and Monte Carlo simulations. This is a hands-on leadership role, splitting your time between full-stack engineering and leading a team of senior developers. You’ll also play a key role in shaping AI-assisted and agentic development workflows, helping embed these approaches into day-to-day engineering practices. The Role You will lead a team of four experienced engineers while remaining actively involved in the development process, with a strong emphasis on Python-led development within a modern cloud environment. Alongside technical leadership, you will coordinate delivery, run Agile ceremonies, and act as a key technical contact for stakeholders and clients. The role requires someone who leads by influence, communicates confidently with clients, and brings practical experience implementing AI-assisted and agentic engineering workflows within real delivery environments. Key Responsibilities Leading a team of four senior engineers within an Agile delivery environment Remaining hands-on with Python-led full-stack development, alongside TypeScript, React and Azure Contributing to platforms supporting financial modelling and forward-looking analytics including discounted cashflow projections and Monte Carlo simulations Championing AI-assisted and agentic engineering workflows, embedding these into development practices Running Agile ceremonies including stand-ups, sprint planning and retrospectives Managing day-to-day delivery and proactively removing blockers Acting as a key technical contact for stakeholders and clients Supporting solution design and maintaining strong engineering standards Experience Required Proven experience operating as a Tech Lead or Lead Engineer in modern engineering teams Strong Python development experience within full-stack environments Experience with TypeScript, React and Azure-based architectures Experience working on financial modelling systems, ideally involving forward-looking modelling such as discounted cashflow projections or Monte Carlo simulations Demonstrable experience implementing AI-assisted or agentic engineering approaches in practice Experience leading engineering teams within Agile delivery frameworks Strong communication skills and the ability to engage confidently with clients and stakeholders A solutions-oriented, detail-focused mindset with a strong delivery drive and principles-based approach to engineering