Our Hedge Fund client is looking for a Python Developer/Engineer Contract role

This team is responsible for the firms equity transaction data platform, including trade life cycle event processing, enrichment, and PnL calculations. The role is ideal for an engineer who enjoys building robust, high-throughput services and data pipelines in a fast-paced, delivery-focused environment.

Principal Responsibilities
Design and develop solutions for trade life cycle event processing, including corporate actions, expiries, and other post-trade events.
Build and operate Python-based services that perform large-scale data transformations and calculations.
Publish and distribute transaction and PnL data using Kafka, including AVRO-based schemas and streaming patterns.

Required Skills
Minimum of 6+ years of professional Python development experience, ideally in capital markets or a fintech firm.
Experience in finance: understanding of common financial asset classes; knowledge of equities corporate action processing, trade life cycle concepts, and/or P&L calculations is a strong plus.
Experience with Kafka (or equivalent streaming/messaging platforms) and schema-based event publishing (eg, AVRO).
Strong experience performing large-scale data calculations in Python using libraries like pandas, polars, and NumPy.
Experience building REST services using frameworks such as FastAPI and/or Flask.
Strong SQL skills and experience working with relational databases in production environments.
Hands-on experience with containerized deployments and modern infrastructure tooling (Docker, Kubernetes) and familiarity with cloud platforms.
Understanding of modern SDLC practices (testing strategy, CI/CD, release management, observability, and operational ownership).

Office based, 5 days per week.
Based in London.

Contract role inside IR35

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Job Title: Scala Developer
Job Description

This role focuses on designing and delivering performance-critical, data-driven systems that support equities, cash, and stock loan trading. You will work on core trading and inventory platforms, contributing to next-generation equity swaps initiatives, trade lifecycle automation, and enhanced risk management capabilities. You will operate within Agile delivery teams and collaborate closely with quantitative analysts, traders, and business stakeholders to deliver robust, scalable trading solutions.

Responsibilities

• Design, develop, and maintain front-to-back equity swap trading systems using Scala with a strong emphasis on functional programming.
• Build and enhance high-throughput, low-latency platforms with a strong focus on performance, scalability, and reliability.
• Develop and support core systems, including data-driven inventory and trade processing services used across equities, cash, and stock loan trading.
• Gather, analyse, and refine business and technical requirements, translating them into effective end-to-end solutions within Agile teams.
• Collaborate closely with quantitative analysts, traders, and other business partners to understand trading needs and deliver robust, fit-for-purpose trading solutions.
• Contribute to the design and implementation of high-performance, distributed system architectures, including event-driven and low-latency patterns.
• Use Python for analytics, tooling, or supporting components where appropriate to complement the core Scala-based platforms.
• Apply functional programming principles and Domain-Driven Design (DDD) to create maintainable, testable, and well-structured codebases.
• Participate actively in Agile ceremonies, code reviews, and continuous improvement initiatives to enhance delivery quality and team effectiveness.

Essential Skills

• Strong proficiency in Scala development with a focus on writing clean, efficient, and reliable code.
• Solid experience with functional programming principles and their practical application in production systems.
• Hands-on experience designing and building high-performance, distributed systems.
• Practical understanding of high-performance system patterns, including event-driven and low-latency architectures.
• experience working within Agile delivery teams and collaborating closely with cross-functional stakeholders.
• Ability to gather, interpret, and translate business requirements into technical solutions.
• Strong problem-solving skills and the ability to work on complex, data-driven trading platforms.

Additional Skills & Qualifications

• Knowledge of equity derivatives, particularly equity swaps, is highly advantageous.
• Familiarity with Domain-Driven Design (DDD) and its use in complex trading or financial systems.
• experience using Python for analytics, tooling, or supporting components alongside core trading platforms.
• Background in trading, risk, or financial markets technology is beneficial.
• Exposure to Java or other JVM-based languages is an advantage.

Why Work Here?

You will join a technology-focused environment where high-performance, low-latency engineering is central to the business. The team values collaboration, knowledge sharing, and close partnership with front-office stakeholders, giving you direct impact on trading outcomes. You will work with modern functional programming practices and sophisticated system architectures, providing strong opportunities for technical growth and exposure to complex financial products. The Agile culture encourages continuous improvement, innovation, and professional development.

Work Environment

You will work in an Agile, front-office aligned technology team that builds and supports mission-critical trading platforms. The environment is highly collaborative, with regular interaction between developers, quantitative analysts, traders, and other business stakeholders. The technology stack centres on Scala with a strong emphasis on functional programming, complemented by Python for analytics and tooling, and high-performance, event-driven, low-latency system architectures. The role is office-based or hybrid depending on team arrangements, with a professional dress code aligned to a trading and investment banking environment. Working hours follow core market hours with flexibility around project demands and production support needs.

Location

London, UK

Rate/Salary

.00 GBP Daily

Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. (phone number removed). Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as “Allegis Group”). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at (url removed)>

To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to (url removed)>

We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the “Contacting Us” section of our Online Privacy Notice at (url removed)/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.

Role: Data Migration Engineer x 2

Location: Bath (Hybrid working)

Duration: 6 months

Day rate: £550

Active SC clearance required - preferably MOD SC clearance

The objectives and outputs from the role include the following:

• The role is to provide Data Engineering support for InterSystems HealthShare (HFS) components including the EMPI (enterprise master patient index), HPD (healthcare provider directory), Portal and Data Quality reports, and any other related project components added during this period.
• Assist with the implementation of the data migration pipeline for the Authority’s Health Record based on InterSystems IRIS. This will include design, development, testing, and monitoring.
• Configuration, deployment, and testing of the supporting infrastructure and environments required for data migration, including populating and making available a terminology server, agreeing Firewall rules, and implementing ETL and analysis tooling based on the Cloud Azure platform.
• Creation and maintenance of data mappings and transformation logic for the data migration pipelines, ensuring alignment with the target data model and business rules. This will include analysis and implementation of clinical terminology mappings, the segregation of data into multiple migration targets, and the redaction of sensitive data.
• Handling coded clinical data including SMOMED/Local code mapping
• Develop staging-layer pipelines in IRIS
• Configure and optimise extraction and ingestion processes across heterogeneous clinical source systems and target environments (eg, InterSystems IRIS/HealthShare)
• Tune performance for high-volume patient data and ensure resilient batch orchestration and environment promotion practices

Previous experience and skill set:

• Demonstrable knowledge Data Migration and Data modelling
• Experience of ETL Development (Clinical Coded Data/InterSystems IRIS-HealthShare) Design
• Required - experience of development in InterSystems HealthShare and HealthConnect with a strong understanding of EMPI, PD, Integration engine and IRIS.
• Preferable - experience of development with Azure, Microsoft .Net, Ansible, Terraform
• Ability to work in an Agile way as part of an Agile team.
• Nice to have - experience of Jira and/or Azure DevOps.

Microsoft Dynamics 365 Consultant - Bristol/Hybrid

We are currently seeking an experienced Microsoft Dynamics 365 Consultant to join our client on an initial 3-month contract, working in a hybrid capacity (Bristol-based).

This is an exciting opportunity to work on a dynamic project, leveraging the latest Microsoft technologies including Dynamics 365 Sales, Power Platform, and emerging AI capabilities.

Location

Bristol (Hybrid working)

Contract Length

3 months (Initial)

Day Rate

£400 - £450 per day (Outside IR35, dependent on experience)

Key Responsibilities

• Configure and customise Dynamics 365 Sales to meet business requirements
• Design and build solutions using Power Apps and Power Automate
• Develop and implement AI-driven agents/automation solutions
• Collaborate with stakeholders to gather requirements and translate into technical solutions
• Ensure best practices across the Power Platform and D365 ecosystem

Required Skills & Experience

• Strong experience with Dynamics 365 Sales
• Hands-on expertise with Power Apps and Power Automate
• Experience designing or building AI agents/intelligent automation solutions
• Ability to work independently and deliver high-quality solutions in a fast-paced environment
• Strong communication and stakeholder engagement skills

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.

My client is seeking to recruit a Fullstack Software Engineer on an initial 12 month contract based in London. It is hybrid and will require 2x days onsite per week.

Key responsibilities

• Front end implementation for a React application

• Visualizing and interacting with scientific data and workflow progression

• Integration of AI/ML components with frontend, backend, data and compute infrastructure

• Responsible for high quality software implementations according to best practices, including automated test suites and documentation

• Develop, measure, and monitor key metrics for all tools and services and consistently seek to iterate on and improve them

• Participate in code reviews, continuously improving personal standards as well as the wider team and product

• Liaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products

Basic qualifications:

• Demonstrated experience with frontend software development (e.g. React)
• Demonstrated experience of Python development (e.g. using FastAPI)
• Bachelors degree in a relevant field (including computational, numerate or life sciences), or equivalent experience
• Cloud experience (e.g. Google Cloud and cloud run preferred) including core web application infrastructure is essential
• Strong skills in JavaScript/TypeScript and Python, ensuring best practices are followed for clean and scalable code
• Demonstrated ability to work directly with designers, particularly using Figma, to convert design prototypes into engaging and interactive applications
• Experience in using automated testing tools, including Playwright and Cypress, to create, maintain, and execute comprehensive test suites
• Sound understanding of web development best practices, modern design principles, and continuous integration workflows
• Knowledge of agile practices and able to perform in agile software development environments
• Strong knowledge of modern software development tools / ways of working (e.g. git/GitHub, DevOps tools for deployment) - should be able to show practice of commit early and deploy often

Preferred qualifications:

• Experience with Docker or containerized applications, especially architecture of multi-container applications
• Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience, especially design of data visualisations
• Knowledge of agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen)

I am recruiting for a Data Scientist to work on a hybrid basis - 2-3 days in London, remaining time remote. The role falls inside IR35 so you will be required to work through an umbrella company for the duration of the contract. This role will move into a permanent position after the 6 months so please only apply if this is suitable for you. I am recruiting for a Data Scientist / ML engineer with several years of experience. You will have experience of driving new data insights to uncover business opportunities & revenue streams, have a firm understanding of statistics and data visualisation for communication and also have an understanding of business growth areas & how to utilise important data. Experience of supporting data science projects in a consulting environment is essential for this role. You must have a number of years of experience participating in projects that focused on some of the following - Predictive Analytics, Data Design, Statistics, AI/ML or ML Ops. You must have experience of using Python and/or R to analyse disparate data sets. Experience of Gen AI / LLM hands on development is preferred. Please apply ASAP to find out more.

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What this opportunity involves

While each project involves unique tasks, contributors may:

• Design original computational physics problems that simulate real physics research workflows;
• Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);
• Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);
• Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;
• Base problems on real research challenges or practical applications from physics practice;
• Verify solutions using Python with standard physics simulation libraries;
• Document problem statements clearly and provide verified correct answers.

What we look for

This opportunity is a good fit for physicians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:

• Degree in Physics (Theoretical, Experimental, or Computational) or related fields;
• Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;
• 2+ years of professional experience: applied, research, or teaching experience is applicable;
• Experience with numerical simulation methods;
• Ability to design problems that mirror real physics research workflows;
• Creative thinking in problem design across diverse physics areas;
• Familiarity with physics modeling and approximation techniques;
• Strong written English (C1+).

How it works

Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid

Project time expectations

For this project, tasks are estimated to require around 1020 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

We are looking for aMachine Learning Ops Engineerto help operationalise machine learning across Affinity Water on a 24 month FTC. Youll work with data scientists, engineers, architects, and stakeholders to deploy, monitor, and maintain ML models in robust, scalable, and secure production environments, turning advanced analytics into sustained business value.

What Youll Do

• Build, maintain, and optimise automated ML deployment pipelines with CI/CD, containerisation, and orchestration.
• Monitor model performance, data drift, and system health to ensure reliability and availability.
• Support ML platforms and infrastructure on-premise or in the cloud (AWS, SageMaker), ensuring scalability and security.
• Collaborate with data scientists to productionise models and embed ML Ops best practices across the organisation.
• Ensure governance, compliance, documentation, and reproducibility of ML pipelines and models.
• Provide 2nd/3rd line support, manage release cycles, and resolve incidents efficiently.
• Continuously improve ML Ops processes, tooling, and automation for efficiency and reliability.

What Were Looking For

Essential:

• 5+ years experience in MLOps, DevOps, or related roles.
• Strong knowledge of ML lifecycle management, deployment, monitoring, and model maintenance.
• Hands-on experience with Python (and ML frameworks), containerisation (Docker/Kubernetes), CI/CD pipelines, and cloud ML services (AWS SageMaker preferred).
• Experience with infrastructure-as-code, production-grade Linux environments, and API services (Flask/Gunicorn).
• Proficiency in building automated, reliable ML pipelines with structured and unstructured data.
• Excellent problem-solving, analytical, and communication skills; self-motivated and organised.
• Ability to embed best practices for governance, reproducibility, and operational excellence.

Desirable:

• Experience with feature stores, model registries, real-time serving, and model retraining automation.
• Integration of ML systems into business applications or APIs.
• Exposure to Water Industry data, systems, and processes.

Benefits:

• Salary: From £60,000 dependant on skills and experience
• Able to work from the Hatfield office at least 2 days per week, with flexibility to spend additional days on-site as required by the programme
• Learning and development opportunities, including mentoring and a range of formal courses and open learning resources.
• Entry into the company annual bonus scheme
• Annual leave from26-30rising with length of service, and the option to purchase up to 5 extra days.
• A Celebration Day in addition to public holidays that people can use to celebrate a religious festival or other occasion that is important to them.
• A generous ‘double match pension scheme’ that doubles the contributions you make (company contribution capped at 12%)
• We offer a range of family benefits including enhanced Maternity, Adoption, Paternity, Shared Parental Leave, Fertility Support Leave and up to 5 full or 10 half days of paid Carers Leave.
• Menopause policy and Reasonable Adjustment policy to help everyone perform at their best.
• Access to our Wellbeing Centre with support for looking after your physical and mental health.
• Discounts at a Range of Retail Outlets and on Dental and Medical Insurance through our Tap4Perks scheme.
• Up to 4 Affinity days a year to volunteer in the community.
• Life Assurance.

Disability Confident

As a Disability Confident employer, were committed to offering interviews to disabled candidates who meet the essential criteria and opt in on the application form. Ask the Talent Acquisition lead for the full job description to see all the criteria. If we have a very high volume of applicants and were not able to offer interviews to all, well take a fair and proportionate number of disabled candidates through.

Affinity Water recognises the benefits of greater diversity in our workforce to better reflect the communities we serve. We are committed to building a more inclusive culture where every member of our workforce can thrive.

Principal AI / Data Engineer (Contract): Length: 3 months initally (extension is likely) Start Date: ASAP Location: London, Hybrid (1 day per week) Pay Rate / Determination: £(Apply online only) p/d | Outside IR35 About: Opus is supporting a UK-based digital consultancy partnering with organisations to design, build and scale high‑impact digital and AI‑driven products, with a strong people‑first culture. The role: A hands‑on Principal AI / Data Engineer contract to assess, shape and deliver improvements to a live AI platform across two critical workstreams. You'll be responsible for: Assessing the current AI and data platform and define clear, actionable improvements Lead on delivery across two workstreams, aligning product, data and engineering Improving the natural language data exploration platform, focusing on trust and semantic consistency Designing and implementing scalable, multi‑source data pipelines and architecture About you: Strong experience with Python and AWS Deep knowledge of data pipelines, AI/ML systems and modelling Experience with LLM- or NLP‑powered platforms Strong focus on scalable, reliable system designPlease apply now and reach out to Adam at Opus for more information E: (url removed)

Your new company Working for a renowned financial services organisation Your new role We are seeking a Data Engineer to support the replacement of a legacy ETL tool with a modern Apache Spark based data platform. This is a hands‑on engineering role focused on building and supporting Spark jobs, with an emphasis on performance, reliability, and scalability. The role is focused on building nonperformance Apache Spark jobs, with a strong emphasis on performance optimisation. It is primarily Java‑based, with Python strongly encouraged; experience across Java, Python, and Scala is ideal, with Java and Python being the preferred combination. The role sits within a small Agile delivery team of four engineers (two onshore and two in Shenzhen), working closely with a Senior Data Engineer. You will be responsible for development work, sprint delivery, demos, documentation, and stakeholder engagement. This position suits a mid‑level engineer with strong Spark development experience rather than design, infrastructure, or management responsibilities. What you'll need to succeed Strong hands‑on experience with Apache Spark - Writing and tuning Spark jobs /PySpark development experience Strong Java or Java Spring boot development background Experience with programming in Python or Scala Exposure to Big Data technologies and distributed data processing Working with containerised environments using Kubernetes/ Airflow. Agile ways of working (Scrum, sprints, demos) Comfortable working in a distributed team Financial services or professional services experience required. What you'll get in return Flexible working options available. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

Your new company Working for a renowned financial services organisation Your new role We're looking for a Data Engineer to design and deliver scalable on prem, high‑quality data solutions for low/ high-level data platforms that power analytical and business insights. This is a hands‑on role suited to someone with strong data engineering and big data expertise, ideally gained within financial services. Using , Big Data tools and Spark development you will ensure data quality through automated validation, monitoring, and testing. You will also enable seamless integration across data warehouses and data lakes, contributing to a robust, scalable, and resilient enterprise data ecosystem. What you'll need to succeed Strong Data Engineering expertise with Big Data technologies. Experience designing and building on‑prem data platforms, from high‑level architecture to detailed technical design. Strong Spark development experience. Hands‑on experience with Hadoop - configuring multi‑node Hadoop clusters, including resource management, security, and performance tuning. Strong Big Data engineering background using Apache Airflow, Spark, dbt, Kafka, and Hadoop ecosystem tools. Knowledge of RDBMS systems (PostgreSQL, SQL Server) and familiarity with NoSQL/distributed databases such as MongoDB. Proven delivery of streaming pipelines and real‑time data processing solutions. Delivered streaming pipelines and real‑time data processing solutions. What you'll get in return Flexible working options available. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

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

We’re recruiting for experienced Java Engineers with strong experience working with Legacy Java versions (Ideally Java 8). This 6-Month contract is determined as Inside IR35 and is offered on a Hybrid remote basis requiring 1/2 days per week of onsite work in Swindon or London. Key Requirements Strong commercial experience with Java 8 or similar legacy Java frameworks Solid skills in SQL, Spring Boot, and Hibernate development practices Proven ability to build microservices and reliable RESTful APIs Hands‑on experience applying TDD and BDD testing approaches Good understanding of clean coding principles, SOLID, and cloud technologies Previous experience in the Finance/Fintech Industry is beneficial Key Responsibilities Design, implement, and thoroughly test new enhancements across the platform Lead feature development from initial concept through to final delivery Produce high‑quality software that consistently meets performance expectations Resolve technical issues promptly to ensure continued platform stability Contribute ideas that evolve and improve the overall product architectureWhat to do next If this Java 8 Engineer role sounds like a good fit and you’d like to know more, please apply with your most up‑to‑date CV and I’ll be in touch. Java 8 Software Engineer | £500 – £550 | Inside IR35 | 6 Months | Hybrid Remote

Job Title: AI Engineer - Python, LLMs Location: Sheffield (Hybrid) Type: Contract, Full-Time We are looking for a skilled and experienced Analytics Engineer to join a rapidly growing organisation. You will Partner with business stakeholders to design and deliver impactful dashboards, analytical products, and metric frameworks. You will build high‑quality analytics datasets, semantic layers, and reusable data models that power reporting and advanced insights. You will be responsible for : Develop and maintain CI/CD pipelines for analytics workflows, ensuring reliable, automated testing and deployment. Use Python or similar scripting languages to support analytics, automation, and data manipulation tasks. Leverage LLMs and AI‑assisted tools to accelerate insight generation, documentation, and development workflows.Key Skills and Experience you must have: Strong SQL and data modelling skills. Hands-on experience with enterprise analytics platforms such as Power BI and Tableau. Experience in implementing CI/CD pipelines for Analytics. Excellent experience with Python. Excellent experience working with large Enterprise Data Platforms. Experience using LLMs or AI-assisted tools to accelerate analytics and insight generation. You must be a team player with the ability to work in a collaborative environment. If the role is of interest please get across your CV

+8 months +Hybrid in Reading +Inside IR35 +£80 - £85 ph +SC cleared role Skills: +MOD +Data Engineer +Python We're seeking an adaptable, proactive Senior Data Engineer to build and scale data capabilities within a greenfield environment across critical Defence and Aerospace programmes. ⚠️ Essential Requirement: You must have hands-on experience working with aerospace engineering or operational data-such as aircraft platform data, sensor outputs, test datasets, or other high-volume technical data sources. This is a key role where you'll help shape secure, scalable data platforms from the ground up, so a can-do attitude, adaptability, and a passion for innovation are vital. What You'll Be Doing Design, build, and maintain end-to-end data solutions (ingestion, integration, storage, processing, analysis) Develop data pipelines, automation, and analytical tools to drive insight Work with complex aerospace datasets in secure, mission-critical environments Research and implement emerging data technologies Collaborate with Data Scientists, DevOps, Analysts, and Cyber teams Support machine learning workflows and deployment Work across cloud platforms and secure environments Lead small work packages and mentor junior engineers Contribute to architecture and design decisions What You'll Bring Proven experience as a Data Engineer, with ownership of deliverables Essential: Experience working with aerospace engineering or sensor data Strong Python and SQL skills, including pipeline optimisation Solid understanding of SQL & NoSQL database architectures Experience with ETL pipelines and orchestration tools Hands-on experience with cloud platforms (AWS, Azure, or GCP) Exposure to Docker and APIs Ability to lead, mentor, and collaborate effectively Strong problem-solving and stakeholder engagement skills

Senior Data Engineer – (Tick data, Time-Series; kdb+ / Q )
3-6 months initially.
London 3 days onsite

Are you a Data Engineer with a background in systematic trading who has worked with granular tick market data? Have you built pipelines to allow tick data to be ingested into a time series tech stack utilising kdb+ and Q? If so keep reading!

Certain Advantage are recruiting on behalf of our London based trading client for a Data Engineer to focus on building a scalable data platform for algorithmic trading.

You’ll Identify and implement solutions for Quants and Traders, providing data that will be used to improve strategies performance and produce clients TCA, pre- and post- trade analytics.

Your Project Work:

Identify and implement solutions to provide data that will be used to improve strategies performance and produce clients TCA, pre- and post- trade analytics.
Work with business Stakeholders to build new and maintain existing real-time and historical data services and statistical functions on top of the data.
Develop an in depth understanding of existing analytical libraries and help to broaden current offering.
Identify and implement solutions to optimize performance maintaining fast query execution.
Key Skills and Experience sought:

Experience developing highly reliable data ingestion processes to consume large volumes of data emitted by trading and market data systems.
Practical experience scaling and load-balancing infrastructure using market leading time-series database products (e.g. kdb, shakti)
Experience using of kdb and building indicators and backtesting frameworks using Q language.
Deep understanding of tick design and data organization, performance implications of different approaches when building time-series database infrastructure
Experience with Agile methodology and tools such as ADO, Github, Jenkins, Nexus and Jira
Does this sound like your next career move? Apply today!

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Senior Full-stack Python Typescript AI Engineer- Outside IR35 ROLE This position is for a Senior Backend Developer working in python and typescript to support the development on a SaaS product with a focus on Ai. This role involves designing, building, and optimising scalable backend services and APIs to support a single-tenant, multi‑instance SaaS platform, while contributing to the architecture and implementation of AI‑driven components such as Retrieval‑Augmented Generation (RAG) pipelines, vector databases, semantic search, and structured or knowledge‑graph‑based data modelling approaches. You will support the design of robust data models and pipelines capable of handling both structured and unstructured data with strong traceability and auditability, and help transition prototypes into production‑ready systems with a focus on security, access control, performance, reliability, observability, and monitoring. The role also includes building and managing integrations with external data sources and APIs, collaborating closely with a small, cross‑functional team of developers and stakeholders to refine requirements and deliver iteratively, and contributing to best practices across development standards, testing, and deployment processes. REQUIREMENTS: Strong experience as a backend or full-stack developer with a backend focus Strong proficiency in key scripts, such as Python and TypeScript Proven experience building production-grade SaaS applications Development experience with AI/LLM system architecture, including: RAG pipelines Vector databases (e.g. Pinecone, Weaviate, FAISS, etc.) experience with relational databases (e.g. PostgreSQL) and data modelling Familiarity with API design and integration (REST or GraphQL) experience working with cloud environments (e.g. AWS, Azure, GCP) Job Title: Senior Full-stack Python Typescript AI Engineer Location: London, UK Job Type: Contract Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. (phone number removed). Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at (url removed)> To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to (url removed)> We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at (url removed)/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield

DATA ANALYST

CONTRACT INSIDE IR35

LONDON, 2 DAYS ONSITE

Description

A proficient specialist who applies mathematical, problem-solving, and coding skills to manage data, extracting valuable insights, designing tailor-made solutions from data, aiding our business in achieving unique objectives and goals.

Reporting to the Head of Customer Operation, key accountabilities include:

• Undertaking data collection, preprocessing and analysis
• Building models to address business problems
• Presenting information using data visualisation techniques
• Support in the delivery of the charging, data and reporting services for the Customer Operations department.
• Work collaboratively with the Customer Service Manager and peers within the Customer Management Team on the delivery of the team and departmental strategies.
• Identify valuable data sources and automate cleansing processes
• Undertake preprocessing of structured and unstructured data
• Analyse large amounts (several million records) of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modelling
• Present information using data visualisation techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams

Skills

• Sql
• Data
• Power Bi
• Python
• Data analysis

Job Title: Data Analyst

Location: London, UK

Rate/Salary: 150.00 - 200.00 GBP Daily

Job Type: Contract

Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. 2876353. Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as “Allegis Group”). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at https://www.allegisgroup.com/en-gb/privacy-notices.

To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to https://www.allegisgroup.com/en-gb/privacy-notices.

We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the “Contacting Us” section of our Online Privacy Notice at https://www.allegisgroup.com/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.