Backend Software Engineer / Developer (Python Data R&D) Cambridge onsite to £55k

Would you like to work on Greenfield projects at the cutting edge of medical technology?

You could be joining a well funded start-up, collaborating with scientists and other engineers to develop sensing and imaging terahertz solutions.

As a Backend Software Engineer you’ll work on complex problems including image processing, machine learning, numerical simulation, user interfaces, databases, networking and interfacing with hardware. You’ll be using a Python based tech stack but with constantly evolving technology that you’ll be able to influence.

Location:

You’ll join a talented team based just north of Cambridge (with parking available), on a fulltime basis (with some flexibility).

About you:

• You have strong backend software engineering experience with Python, including Python libraries such as PyTorch, NumPy
• You have experience working with asynchronous, parallel or distributed systems
• You have a good knowledge of at least one relational database e.g. SQL Server, Oracle
• You have a good understanding of TDD, CI/CD practices and modern software engineering best practices
• You have experience with embedded software and / or IoT
• You are comfortable in an R&D environment
• You have an interest and understanding of Machine Learning and AI
• You are degree educated in a relevant STEM discipline
• You’re collaborative, comfortable with Pair Programming and mentoring more junior engineers
• Ideally you will also have experience with some of the following: Anaconda, Mamba, Poetry, C++, JavaScript, Haskell, OCaml, Rust

What’s in it for you:

As a Backend Software Engineer / Developer you will receive a competitive package:

• Salary to £55k
• Bonus
• Healthcare
• Pension
• Continual learning and self development
• Complex interesting work at the cutting edge of technology

Apply now to find out more about this Backend Software Engineer / Developer (Python R&D TDD) opportunity.

At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We’re an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

£120,000 GBP
+Sign on +EOY Bonus
Onsite WORKING
Location: Central London, Greater London - United Kingdom Type: Permanent

About the Company:

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

Key Responsibilities:

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

Qualifications and Skills:

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

Reference: AMC/JST/JQR/NW/001

Postcode: EC2Y 9BH

#josm

Senior Acoustics Engineer | £55-65k | Cambridge My client is rapidly expanding their Audio Team, and has an opportunity for an engineer with a deep background in micro-acoustics who wants to see their work have a direct impact. They have a tonne of freedom & funding to develop some advanced tech, incorporating ML DSP implementation, and balancing of extreme loudness with crystal-clear intelligibility. Responsibilities + Lead the acoustic design and optimisation of products + Implement and tune complex DSP algorithms such as Noise Suppression, AEC, AGC, and EQ + Use FEA and COMSOL simulation tools to predict acoustic behaviour and guide the mechanical design team. Requirements + Strong experience in audio product development + Advanced proficiency with acoustic simulation software and audio measurement hardware + Proven ability to use MATLAB or Python for data analysis and rapid prototyping + Strong understanding of electro-acoustic transducers Bonus Skills: + Experience in tuning and porting DSP algorithms to embedded platforms + Familiarity with various wireless communication protocols (e.g., DMR, P25, LTE). Benefits + £55-65k dependant on experience + Flexible working hours + Private health & dental care + Enhanced pension contribution If you are passionate about acoustic excellence and want to play a vital role in developing advanced technology, apply

Job Title:Senior Agentic AI Engineer
Location:HertfordshireSalary:up to £120,000 DOE

This is a unique opportunity for an experienced AI engineer to join a specialised team in virtual design for a wide range of clients, powering autonomous AI driven simulation within Unity.

If you have a strong background in AR/VR integrating with the latest LLMs, this role was written for you.

The Role

Design, build, and deploy autonomous AI agents within Unity-based virtual environments,This is a hands-on engineering role with significant ownership and influence over how AI shapes the future of virtual design.

Requirements

-5+ years of software engineering experience
-Expert in Unity development (C#)

• Experience building agentic AI systems
• Intrest in AR/VR

If this role is of interest, please apply below.

£Up to 180,000 GBP
Onsite WORKING
Location: Central London, Greater London - United Kingdom Type: Permanent

Director of AI Engineering
UK | Hybrid

Director Level | Technology Strategy

Overview

We are seeking a Director of AI Engineering, on behalf of a global Professional Services firm, to lead the strategy, design, and enterprise-wide adoption of Artificial Intelligence, Machine Learning, and Intelligent Automation capabilities.

This is a senior leadership role at the intersection of technology, strategy, and commercial impact, responsible for scaling AI across a complex global organisation. You will define the AI vision, build high-performing teams, and deliver transformative solutions that unlock measurable business value.

You’ll work closely with C-suite stakeholders, global engineering teams, and external partners to embed AI-first thinking, accelerate innovation, and shape the future of intelligent enterprise systems-including emerging paradigms such as the agentic web.

Key Responsibilities

Strategic Leadership & Governance

• Define and execute the enterprise-wide AI & Intelligent Automation strategy
• Establish frameworks for Responsible AI, ethics, and model governance (e.g. EU AI Act, NIST AI RMF)
• Act as executive sponsor for AI architecture, operating model, and adoption roadmap

AI & GenAI Ecosystem

• Lead the design and deployment of scalable AI solutions across Python, .NET, and cloud-native platforms
• Drive adoption of advanced frameworks (PyTorch, TensorFlow, Hugging Face, LangChain)
• Oversee integration of LLMs (OpenAI, Anthropic, Gemini, Mistral) via enterprise platforms (Azure OpenAI, Vertex AI)
• Implement RAG architectures and manage vector databases (Pinecone, Weaviate, FAISS, Milvus)

Data & Engineering Excellence

• Lead the evolution of modern data platforms (Databricks, Snowflake, Synapse, BigQuery)
• Ensure robust data engineering practices (Airflow, dbt, Prefect) and governance (Collibra, Purview)
• Drive scalable lakehouse architectures (Delta Lake, Iceberg, Hudi)

Cloud, Infrastructure & MLOps

• Champion multi-cloud engineering across Azure, AWS, and GCP
• Lead MLOps strategy (MLflow, Kubeflow, SageMaker, Vertex AI) and CI/CD pipelines
• Ensure scalable deployments using Kubernetes, Docker, and Infrastructure-as-Code

Enterprise Integration (.NET Focus)

• Integrate AI capabilities into enterprise-grade .NET ecosystems
• Modernise legacy systems using microservices, APIs, and event-driven architectures
• Embed DevSecOps best practices across all engineering workflows

Intelligent Automation

• Drive enterprise automation using tools like Power Automate, Blue Prism, and Automation Anywhere
• Implement cognitive services (NLP, speech, vision) to enhance digital workflows
• Lead process mining and optimisation initiatives (e.g. Celonis)

Analytics & Decision Intelligence

• Deliver data-driven insights through advanced analytics and BI platforms (Power BI, Looker)
• Enable predictive modelling and optimisation using modern ML toolkits

Security, Compliance & Responsible AI

• Ensure alignment with enterprise security standards (SOC2, ISO27001, NIST)
• Champion explainability, bias mitigation, and ethical AI practices

Leadership & Talent

• Build and lead high-performing global teams across AI, data, and automation
• Foster a culture of innovation, experimentation, and continuous learning
• Develop strategic partnerships across academia, startups, and hyperscalers

Your Background

• Proven experience leading enterprise-scale AI transformation programmes
• Deep technical expertise across Python, .NET, cloud platforms, and MLOps
• Strong understanding of data governance, architecture, and DevSecOps
• Demonstrated ability to deliver measurable business outcomes and ROI
• Exceptional stakeholder management and executive communication skills

Additional Information

Travel: Up to 60%

Why This Role?

This is a rare opportunity to define and lead AI strategy at scale, shaping how an organisation leverages cutting-edge technologies to transform operations, decision-making, and customer outcomes.

You won’t just implement AI-you’ll set the direction for its future.

Reference: AMC-TEL/DAI

#toel

Data Science Manager Hybrid - 2 days a week - Reading Up to £100,000 + Bonus The Opportunity We’re supporting a high-growth UK technology company building advanced AI-driven systems used in real-world environments where performance, reliability, and accuracy are critical. This is not your typical data science environment. Their platform combines AI, computer vision, geospatial analytics, and multi-sensor data to operate in complex, real-world scenarios. They’re now looking for a Data Science Manager to lead a small, high-impact team and shape how data science is applied across the business. The Role You’ll lead a team of 4 data scientists (Computer Vision + Geospatial), while remaining hands-on and contributing technically. This role sits at the centre of the organisation, working closely with software engineers, hardware teams, and domain experts to deliver models that operate in live environments. What You’ll Be Doing \* Leading and mentoring a team of data scientists across multiple specialisms \* Designing and delivering machine learning and analytics solutions \* Working with multi-sensor datasets \* Developing approaches for data correlation, fusion, and modelling \* Collaborating with engineering teams to deploy models into production systems \* Helping define data science standards, tooling, and best practices What They’re Looking For \* Experience leading or mentoring data science teams \* Strong background in machine learning and statistical modelling \* Strong programming skills (Python essential) \* Experience working with complex, real-world datasets \* Ability to work cross-functionally with engineering teams Nice to Have \* Experience with sensor data, computer vision, or geospatial analytics \* Background in hardware-integrated or real-time systems \* Experience deploying models into production environments If you’d like to learn more about the role, team, or technology, feel free to apply or reach out for a confidential chat

Lead Data Scientist / Chief Data Scientist Remote - must be UK-based £90,000 + Bonus + Healthcare The Opportunity We’re supporting a growing technology business developing advanced AI-driven systems operating in complex, real-world environments. Their platform brings together computer vision, geospatial analytics, and multi-source data to solve challenging problems around detection, tracking, and decision-making. They’re now looking for a Lead Data Scientist / Chief Data Scientist to take ownership of the technical direction of data science and play a key role in shaping how advanced analytics is applied across the organisation. The Role This is a high-impact, senior individual contributor role with significant technical ownership. You’ll act as the technical authority for data science, working closely with the Data Science Manager and engineering teams, while contributing directly to solving complex modelling challenges. You’ll have influence across: \* Technical direction and architecture \* Model design and approach \* Best practices across the data science function What You’ll Be Doing \* Leading the technical direction of data science and machine learning \* Designing and developing advanced models across computer vision, geospatial, and multi-source data \* Working on problems involving data fusion, tracking, and real-time analysis \* Supporting and mentoring data scientists across the team \* Collaborating with engineering teams to deploy models into production systems \* Driving best practices in model development, validation, and performance optimisation What They’re Looking For \* Strong background in machine learning and advanced modelling \* Experience working across complex or real-world datasets \* Strong Python skills and experience with modern ML frameworks \* Experience contributing to production systems, not just research \* Deep technical expertise in at least one area: -Computer vision -Geospatial / spatial analytics -Multi-sensor / multi-source data Nice to Have \* Experience with sensor data (radar, LiDAR, RF, imagery, etc.) \* Knowledge of data fusion, tracking, or probabilistic modelling \* Experience working in hardware-integrated or real-time environments \* Previous experience mentoring or guiding other data scientists If you’d like to learn more about the role, team, or technology, please apply directly to this advert and the team will be in touch

We are looking for a senior Architect to lead the design and governance of our Azure AI Factory. You will be the technical authority responsible for building secure, scalable AI solutions-including Generative AI and Agentic workflows-that solve real business problems. Must-Haves Active SC Clearance. Core Responsibilities Translate business requirements into Azure‑native AI solution architectures
Design end‑to‑end architectures using Azure OpenAI, Azure AI Search, ML, data platforms, compute, networking, and identity
Select and define architecture patterns (RAG, agentic workflows, streaming vs batch, hybrid approaches)
Define non‑functional requirements: security, scalability, performance, cost, availability
Ensure alignment with Azure best practices, security standards, compliance, and governance
Select and validate AI Factory accelerators for suitability and architectural fit
Review and approve technical designs before and during execution
Guide AI Engineers on design intent, trade‑offs, and constraints
Own architectural decision‑making and resolve design‑level risks and blockers
Review solution readiness for UAT and production handover
Support customer technical discussions and build architecture confidence
This role requires the candidate who is already holding active Security Check (SC) clearance in accordance with UK Government standards." Primary skills Strong communication skills and experience in managing various stakeholder relationships to gain consensus on complex technical solutions
Experience in architecting designing and implementing solutions on-premises in the cloud and using hybrid models
Handson experience in deploying a variety of generative models
Indepth experience in finetuning and customizing pretrained AI models with good understanding of various patterns and practices in AI data engineering and large data processing
Handson in Prompt Engineering Azure Open AI Form Recognizer Cognitive Search Vector Databases
Develop and deliver upskilling sessions to the customer
Python and PySparkRandstad Technologies is acting as an Employment Business in relation to this vacancy

Analytics Consulting Director Your Skills & Experience
• Significant experience in a consulting leadership role (Head of / Director / MD of Practice) at a data-focused consultancy or fast-growth firm
• Proven ability to scale a team or practice, with measurable impact on revenue growth
• Strong grounding across the data spectrum – engineering, analytics, data science, visualisation, and AI/ML – with the ability to think strategically
• Exceptional stakeholder engagement and commercial acumen – able to win trust, shape deals, and deliver results
• A passion for people leadership: coaching, mentoring, and developing high-performing teams
• Energy, drive, and a low-ego, high-impact approach to leadership Fully Remote In The UK = This is a unique opportunity to join a fast-growing data consultancy at a pivotal moment in their journey; they’ve built a strong reputation for delivering exceptional analytics, engineering, and AI-driven solutions, and are now they’re looking for a Director-level leader to scale their practice 4–5x over the next five years, with a view to future sale. If you thrive in growth environments, love driving both strategy and delivery, and are motivated by building and developing high-performing teams, this is your chance to shape the direction of a high-growth, high-performance Data Consultancy! The Role As Analytics Consulting Director, you will play a critical role in shaping strategy, growing revenue, and leading complex data initiatives for clients. You will report directly to the Partners, acting as a key voice in defining the consultancy’s future – both commercially and technically. This is a strategic and hands-on leadership role where you will:
• Own and drive the analytics and AI strategy practice, working with Partners to set direction and achieve growth goals
• Lead end-to-end consulting engagements, from scoping to delivery, ensuring measurable impact and client value
• Upskill and mentor consultants, raising technical and consulting standards across engineering, analytics, data science, and visualisation
• Act as a trusted advisor to senior stakeholders, running workshops and shaping priorities, KPIs, and roadmaps
• Partner with delivery teams to ensure projects run smoothly, deliverables hit the mark, and clients remain delighted
• Play a key role in revenue growth, supporting business development and helping to win, shape, and grow strategic accounts
• Drive innovation by identifying where emerging tech (AI/ML, automation) adds value and bringing it into client solutions

Job Description:
We are looking for a hands-on Databricks Architect with strong experience in designing and delivering scalable data and AI solutions in production environments. This role is perfect for someone who enjoys setting architectural direction while remaining deeply technical and hands-on. Key Responsibilities * Design and implement end-to-end data solutions on Databricks (Spark, Delta Lake, notebooks, jobs, clusters, Lakehouse) * Define reference architectures, best practices, and standards for data/AI workloads * Work closely with stakeholders to translate business requirements into scalable Databricks designs * Implement CI/CD pipelines, DevSecOps practices, and IaC for data platform deployments * Ensure strong data governance, security, and cost optimisation across cloud environments * Collaborate across engineering teams to deliver production-grade solutions Must-Have Skills * 7+ years of data architecture & engineering experience * 3–4+ years hands-on with Databricks in production environments * Strong expertise with Spark, Delta Lake, Databricks jobs, notebooks, and cluster management * Architectural experience defining standards and best practices * Strong knowledge of at least one cloud platform (Azure, AWS, or GCP) * Experience with CI/CD, DevSecOps, and infrastructure as code (e.g., Terraform) * Solid understanding of security, governance, and cost management on cloud data platforms * Excellent stakeholder management and requirement‑translation skills

Senior Front End Engineer (TypeScript/React) Remote First (UK-based) | Meet once a month in Manchester Head Office | Up to £85k | AI Team This is a great opportunity for a Senior Front End Developer to join with a fast-growing AI technology team operating within a well-established organisation. This is an opportunity to join a high-impact engineering team where you’ll play a key role in shaping frontend architecture, driving technical decisions, and building performant, user-focused applications. The Role You will join a small team set up to operate as a startup for the wider group to focus on Machine Learning and Artificial Intelligence initiatives. You will be responsible for designing and building the front-end applications for their users to interact with their Machine Learning and Large Language Model systems. It’s a great opportunity to get exposure to cutting edge AI and ML technology even if you don't have prior experience. This is a hands-on engineering role with real ownership - ideal for someone who enjoys solving complex problems and writing high-quality code. Key responsibilities: \* Build and maintain modern frontend applications using React \* Own and influence frontend architecture and best practices \* Collaborate with cross-functional teams to deliver product features \* Improve performance, scalability, and user experience \* Mentor and support other engineers as the team grows You will need the following: \* Strong experience with React and modern TypeScript \* Solid understanding of frontend fundamentals and architecture \* Proven ability to write clean, maintainable, high-quality code \* Comfortable working in a highly collaborative, fast-paced environment \* Strong communication skills and ability to explain technical concepts Nice to have: \* Experience working in product-led or startup environments \* Exposure to performance optimisation or complex UI challenges \* Interest in emerging technologies (e.g. AI-assisted development) The Environment \* Remote-first with flexibility \* Monthly in-person team collaboration (travel expenses covered) \* Startup-style culture within a larger, well-funded organisation \* Fast iteration cycles and real ownership of your work Why Apply? \* Opportunity to shape a growing frontend function \* Work on impactful, modern AI projects \* Join a team that values strong engineering fundamentals \* Balance of autonomy, flexibility, and stability If you’re a strong frontend engineer looking for a role where you can make a real technical impact, then please apply today

Machine Learning Engineer Software Engineer
(Applied AI / Scientific Computing)
Location: Surrey, UK (Office based)
Details: Full-Time | Truly competitive salary + Bonus + unrivalled benefits
A global software company is evolving its core engineering platforms by embedding machine learning and applied AI into high-performance simulation and modelling tools used worldwide.
This is a hands-on applied AI role — focused on building and deploying ML solutions inside production-grade engineering systems, not isolated research or experimental prototypes.
The position:
You’ll design, build, and deploy machine learning models that directly enhance complex engineering software products. Expect a blend of ML engineering, software development, and computational problem solving.
You’ll work across the full ML lifecycle, ensuring models are not only accurate, but efficient, scalable, and production-ready.
Key Responsibilities: * Build and deploy ML models into production engineering software systems * Own the full ML pipeline: data prep, feature engineering, training, evaluation, optimisation * Translate complex scientific/engineering problems into ML-driven solutions * Improve model performance in compute-intensive environments * Write clean, testable, maintainable production code * Integrate ML services via APIs and software components * Collaborate with engineers and domain specialists on real-world systems
Experience required: * Strong Python programming and software engineering fundamentals * Proven experience applying ML to real-world datasets and problems * Understanding of model trade-offs, performance, and production constraints * Experience working with complex or imperfect data (not just curated datasets) * Ability to write efficient, scalable, production-quality code
Desirable Experience: * PyTorch, TensorFlow, or similar ML frameworks * Scientific computing / numerical methods / optimisation * GPU acceleration or high-performance computing * MLOps, model deployment, APIs, or production pipelines
What’s great about this position: * Focus on applied AI in real engineering systems * Work on technically challenging, high-impact problems * Close collaboration with experienced engineers and domain experts * Influence how AI is embedded into core global software products * Long-term technical depth, not short-cycle ML experimentation
Please sind a copy of your CV to apply or call us for an informal chat. Thanks.
#MachineLearning #ArtificialIntelligence #AIEngineering #MLOps #Python #DataScience #ScientificComputing #SoftwareEngineering #AppliedAI #EngineeringSoftware #GPUComputing #UKTechJobs #Hiring

We are seeking a detail-oriented and technically skilled AI & Data Process Intelligence Analyst with 3+ years of experience in automation and intelligent process improvement. In this role, you will design, develop, and deploy AI-enabled automation solutions, leverage process mining techniques to identify optimisation opportunities, and apply data-driven insights to enhance operational efficiency across the business. This position sits at the intersection of automation, data analysis, and applied machine learning. You will work closely with business stakeholders to deliver scalable and practical solutions. Key Responsibilities \* Apply AI and automation techniques to streamline and improve operational processes. \* Develop dashboards and performance reports using Power BI to support data-driven decision making. \* Use prototyping and design tools (e.g. Google Gravity, Figma Make) to design, document, and optimise process workflows and automation solutions. \* Build and integrate machine learning models (e.g. classification, prediction, and optimisation) into automation workflows where appropriate. \* Analyse structured and unstructured data using Python and SQL to validate business problems and quantify potential process improvements. \* Collect, clean, and prepare operational data from multiple sources for analysis and modelling. \* Collaborate with business stakeholders to gather requirements and translate them into scalable automation and AI solutions. \* Monitor deployed automations and AI models to ensure ongoing performance, accuracy, and reliability. \* Document solutions, maintain governance standards, and adhere to best practices for automation lifecycle management. Required Experience & Skills \* 3+ years of experience in automation engineering, intelligent process automation, AI/ML implementation, digital transformation, or a similar technical role. \* Strong proficiency in Python and SQL for data analysis and automation development. \* Hands-on experience with RPA and workflow automation tools (e.g. Power Automate, UiPath). \* Practical experience developing and deploying machine learning models in Python (e.g. scikit-learn, pandas). \* Experience working with APIs and integrating systems across business platforms. \* Strong analytical thinking and problem-solving skills with the ability to translate complex data into actionable insights

We have an exciting opportunity for a Dynamics 365 CRM Engineer to play a key role in delivering the COMET CRM transformation programme. They will design, develop, and deploy a scalable Microsoft Dynamics 365 and Power Platform solutions, with a strong focus on DevOps, automation, and enterprise-grade ALM.

The ideal candidate will have a deep technical expertise, hands-on development capability, and experience driving CI/CD and release processes across complex environments.

UK home based

Candidates should be eligible for SC clearance

At Capita, we live by our values: Customer First, Always; ‍ Fearless Innovation; ? Achieve Together; Everyone is Valued.

These guide how we work, collaborate, and deliver exceptional results.

What you will do:

• End-to-end delivery of Dynamics 365 CRM solutions across the full software lifecycle
• Design and implement scalable, secure, and high-performing CRM architectures
• Own and manage Azure DevOps pipelines, ensuring robust CI/CD practices
• Automate build, test, and deployment processes across multiple environments
• Manage solution lifecycle including versioning, patching, and release governance
• Collaborate with architects, business analysts, and stakeholders to define technical solutions
• Provide technical leadership and mentoring to development teams
• Ensure adherence to DevOps, ALM, and coding best practices
• Troubleshoot and resolve complex technical and deployment issues

What we are looking for:

Dynamics 365 CRM (Senior-Level Expertise)

• Extensive experience with Microsoft Dynamics 365 CE (Sales, Customer Service, etc.)
• Advanced customization and configuration:
  • Entities, forms, views, dashboards
  • Business rules, workflows, business process flows
• Strong development experience:
  • C# plugins and custom workflow activities
  • JavaScript / TypeScript
  • Dataverse Web API / SDK
• Deep understanding of:
  • Solution management (managed/unmanaged)
  • Solution layering, segmentation, and version control

Power Platform

• Expertise in:
  • Power Apps (Model-driven and Canvas apps)
  • Power Automate (complex flows and orchestration)
  • Power Pages (portal design, authentication, and security models)
• Strong Dataverse data modelling and governance experience

Azure DevOps & CI/CD

• Extensive hands-on experience with Azure DevOps:
  • Repos, Boards, Pipelines, and Artifacts
• Design and maintenance of YAML-based pipelines
• Experience running and optimising pipelines, including:
  • Build automation
  • Release pipelines
  • Multi-stage deployments
• Implementation of CI/CD for Dynamics 365 solutions using:
  • Power Platform Build Tools
  • PAC CLI

ALM (Application Lifecycle Management)

• Strong experience implementing Azure DevOps ALM strategies:
  • Branching strategies (e.g., GitFlow)
  • Environment strategies (Dev, Test, UAT, Prod)
• Automated solution promotion across environments
• Dependency and release management best practices

Build, Release & Automation

• Automating:
  • Solution export/import
  • Environment provisioning
  • Configuration/data migration
• Managing deployment pipelines with approvals and rollback strategies
• Experience with configuration migration and data seeding

Data & Integration

• Strong knowledge of:
  • Dataverse architecture and data modelling
  • Data migration strategies
• Integration experience using:
  • REST APIs and web services
  • Azure services (Functions, Logic Apps, Service Bus)
• Understanding of security, compliance, and access control

Quality, Testing & Monitoring

• Experience with:
  • Automated testing approaches (unit/UI testing)
  • Pipeline monitoring and troubleshooting
• Performance tuning and optimisation of CRM solutions

Leadership & Collaboration

• Proven ability to lead technical design and delivery
• Strong stakeholder engagement and communication skills
• Experience mentoring developers and promoting DevOps culture

Desirable Skills

• Microsoft certifications (PL-600, PL-400, AZ-400)
• Experience with Power BI integration
• Familiarity with infrastructure-as-code (ARM/Bicep)
• Exposure to AI Builder / Copilot capabilities

Join Capita - Where Innovation Meets Opportunity

Capita is a dynamic leader in consulting and digital services, helping some of the UK’s most recognized organizations transform and thrive. We use cutting-edge technology and fearless innovation to create smarter, more efficient solutions that make a real difference. Our work spans diverse sectors-government, healthcare, education, and finance-offering you the chance to contribute to projects that impact millions of lives. At Capita, you’ll be part of a collaborative, forward-thinking team that values creativity, growth, and inclusion.

We’re committed to your development and success, providing opportunities to learn, progress, and shape better outcomes for customers and communities. If you’re ready to make an impact and grow your career, Capita is the place for you. Check out our website

What’s in it for you?

• UK home based
• Competitive salary
• 23 days’ holiday, rising to 27 (pro rata) - plus the option to buy more after qualifying period
• ?? Paid volunteering day with a charity of your choice
• Generous family leave policies - including 15 weeks’ fully paid maternity, adoption, and shared parental leave
• ‍?? Cycle2Work scheme, pension, life assurance, and more

What we hope you’ll do next:

Choose ‘Apply now’ to fill out our short application, so that we can find out more about you.

We are committed to building a workforce that reflects the diversity of the communities we serve. As part of our strategic goals, we are focused on accelerating gender and ethnic representation in leadership roles. We warmly encourage applications from women and individuals from Black, Asian, and other ethnic minority backgrounds.

We’re an equal opportunity and Disability Confident employer, which means we recruit and develop people based on their merit and passion. We’re committed to providing an inclusive, barrier-free recruitment process and working environment for everyone. If you need the job description or application form in an alternative format (such as large print or audio), or if you’d like to discuss other changes or support you might need going forward, please email and we’ll get back to you. For more information about equal opportunities and process adjustments, please visit the Capita Careers website.

AI Engineer Search and Retrieval - Full time Permanent - Remote in the UK

I’m working with an interesting, fast-growing business that sits at the intersection of data, knowledge, and decision making. They support consulting and private equity firms by helping them access and surface high-quality insight both from external experts and their own internal knowledge.

What you’ll be doing

• Define and design a scalable, cloud-native search architecture from the ground up
• Evaluate and select the right technologies across keyword, vector, hybrid, and graph-based search
• Design indexing, ranking, and data modelling strategies
• Establish clear frameworks for measuring search relevance and performance
• Design and implement a knowledge graph to model entities and relationships
• Define schema, linking strategies, and enrichment workflows
• Combine graph-based signals with semantic search and ranking models
• Build extraction and enrichment pipelines using modern LLMs
• Architect scalable retrieval and data pipelines in a GCP environment
• Work with analytical platforms such as BigQuery (or similar)

What they’re looking for

• Strong experience building and scaling production-grade search or retrieval systems
• Proven ability to design search architectures from scratch
• Experience working with semantic search, embeddings, and vector-based retrieval
• Hands-on experience building pipelines using LLMs (OpenAI, Gemini)
• Strong Python skills
• Experience working in cloud-native environments (ideally GCP)
• Background leading or owning technical initiatives within a team

£Competitive Base Salary + Market Leading Bonus GBP

Onsite WORKING

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

TEAM OVERVIEW

Our client is a globally leading quant hedge fund, and a quantitative research and trading team with a strong track record in systematic equities. The founding members have approximately 70 years quantitative trading experience between them, with backgrounds from the senior ranks at top tier institutions. Having established the core infrastructure, trading processes and delivered performance, they are now looking to aggressively expand across multiple areas of the business. For the right individual they offer a highly rewarding front office role in a fast paced and collaborative environment, where each individual’s impact can be clearly seen.

PRINCIPAL RESPONSIBILITIES

• Work alongside the Portfolio Manager on developing systematic trading strategies
• Primary focus on idea generation, data gathering and research/analysis, model implementation, and backtesting
• Work on state of the art machine learning techniques to extract alphas for statistical arbitrage strategies

REQUIRED TECHNICAL SKILLS

• Demonstrable experience in the latest ML techniques in a production setting
• Strong programming skills in any object-oriented language such as Python and C++
• Bachelors, Masters, or PhD in a quantitative subject such as Computer Science, Applied Mathematics, Statistics, or related field from a top ranked university

PREFERRED EXPERIENCE

• 2-5 years of experience working in a quantitative research/trading capacity with a focus on mid-to-high frequency equities and/or futures strategies
• Experience with signals that use non-linear machine learning models, such as SVMs, GBMs, or DNNs.
• Hands on experience with PyTorch, TensorFlow, or similar packages.

HIGHLY VALUED RELEVANT EXPERIENCE

• Prior research in applying machine learning models on intraday securities return prediction.

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

The Fixed Income Algo technology team in EMEA supports Citi’s internal market-making and algorithmic trading capabilities for the Spread Product algo trading business. This is a unique and challenging opportunity for an experienced software engineer to contribute to one of the industry’s largest and most sophisticated algorithmic trading platforms. We’re seeking to hire an experienced candidate to advance the algo execution platform creating best-in-class, next-generation products, directly impacting our clients’ franchise. This role involves close collaboration with product managers, trading and quants to solve complex business and technology problems, with a direct and measurable impact on business outcomes.

Citi is one of the top global dealers on the street in fixed income and contributing to that success is a great opportunity to develop cutting edge technical skills with strong career opportunities. The fixed income business has set out an ambitious growth plan, and strong technical development is critical to achieving our goals and enhancing our leading position.

Job Responsibilities / Role:

• Design and develop reusable algo trading platform components, with a strong focus on high performance and low latency.
• Collaborate directly with Traders, Quants, and Product Managers to understand business requirements and implement functional enhancements to the algo trading platform.
• Ensure the strong reliability, scalability, and performance of core algorithmic components.
• Work seamlessly with wider eTrading Teams and Production Support to maintain and enhance live trading systems.
• Adhere to stringent engineering standards, continuously striving for best-in-class solutions and practices.

Qualifications:

• Significant extensive hands-on coding experience in core Java, specializing in low-latency, high-throughput distributed applications.
• Profound understanding of software development fundamentals, data structures, design patterns, object-oriented programming, and algorithms complexity analysis.
• Demonstrated experience with messaging technologies such as Solace, Kafka, etc.
• Practical experience with Chronicle and/or Aeron.
• Experience with distributed caching techniques.
• Proven track record in implementing and supporting market data processing applications and trading applications.
• Experience building robust back-testing frameworks and managing historical data.
• Basic proficiency in Linux system performance tuning and monitoring, with the ability to troubleshoot performance issues within the Java/Linux stack.
• Familiarity with build tools, including Gradle, Git, TeamCity, Jenkins, and Artifactory.
• Strong academic record, ideally with a Bachelor’s degree in Computer Science, Information Science, Engineering, or a related technical or quantitative discipline.

Competencies:

• Strong verbal and written communication skills, with the ability to effectively communicate complex technical concepts to business users.
• A self-motivated individual with a strong determination to achieve goals and drive projects to successful completion.
• Eagerness to continuously learn and grow, both technically and professionally.
• Excellent team-working skills and the ability to thrive in a distributed global team environment.
• Ability to perform effectively and deliver results in a fast-paced environment.
• Flexible and adaptable, capable of delivering high-quality results within required timeframes.

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

What we’ll provide you
By joining Citi 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
• 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:
Applications Development ------------------------------------------------------
Time Type:
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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.

A leading global multi‑strategy trading firm is building a new systematic commodities trading capability, with an initial focus on Copper. As part of this growth, they are hiring a senior Quant Product / Platform Development Lead to own the end‑to‑end build of a greenfield quantitative trading ecosystem.

This is a highly technical, hands‑on role, embedded directly with the trading pod. You will own system architecture and delivery across the full lifecycle, from research and analytics through to live production trading.

The role sits alongside a senior quant from the metals desk and operates at the intersection of quant research, trading, and engineering, with genuine ownership and influence over how the platform is designed and scaled.

Core Responsibilities

• Lead the end-to-end development of the trading platform, spanning research tooling, analytics, and production systems
• Own architecture and system design for a newly built, greenfield quant ecosystem
• Drive system performance, reliability, robustness, and extensibility
• Work closely with traders and quants to translate research into scalable, production‑grade systems
• Act as the technical owner for platform decisions within the trading pod

Technical Profile

• Python: essential (core language across the stack)
• C++: strong advantage, particularly for performance‑critical components
• Proven experience building quant trading platforms or core trading infrastructure
  • Not just research libraries or standalone execution tools
• Comfortable owning full lifecycle delivery, from early design to live trading
• Experience modernising, rebuilding, or translating quant systems is highly relevant

Seniority & Background Fit

• 7+ years experience in quant development or trading technology
• Background should include one (or all) of the following:
  • Senior Quant Developer
  • Quant Product Developer
  • Platform / Trading Systems Lead
• Experience in a centralised quant or platform team at a trading firm is highly valued
• Strong commercial awareness - understands how platform decisions impact trading outcomes
• Comfortable operating as a technical leader across multiple stakeholder groups

If this sounds interesting, please apply for more information!

About the Business

Quilter plc is a leading wealth management business, helping to enable brighter financial futures for every generation.

Quilter oversees £126.3 billion in customer investments (as of August 2025). It has an adviser and customer offering spanning financial advice, investment platforms, multi-asset investment solutions, and discretionary fund management. The business is comprised of two segments: Affluent and High Net Worth.

Affluent encompasses the financial planning business, Quilter Financial Planning, the Quilter Investment Platform and Quilter Investors, the multi-asset investment solutions business.

High Net Worth includes the discretionary fund management business, Quilter Cheviot, together with Quilter Cheviot Financial Planning - offering a highly personalised service to private clients, charities, trustees, and professional partners. Quilter Cheviot has presence throughout the UK, Ireland and Channel Islands.

At Quilter we never stand still. Our foundations are rooted in our extraordinary expertise, which is trusted by hundreds of thousands of customers, but we have great ambitions to stay one step ahead and make an even greater difference to the people and communities we serve, including our colleagues.

Our business is transforming, continually modernising, and becoming even more customer centric. So, if you want to be bold in the pursuit of your ambitions, bring new ideas, and challenge and evolve what we do, it’s the perfect time to join us!

About the Role

Level : 4

Department: COO

Location : Southampton or London

Contract type : Permanent

The new role sits within AI Centre of Excellence department under Chief Operating Office (COO).

The key accountabilities for the role are as follows:

• AI/ML Solution Delivery: Hands on end-to-end development and deployment of both traditional and GenAI-based machine learning models, including discovery analytics, experimental design, model development, benchmarking, enhancement and deployment.

• LLM & RAG Integration: Design and implement new Retrieval-Augmented Generation (RAG) pipelines and enhance existing frameworks, applying advanced techniques in data chunking/splitting, vectorization, knowledge graph representation (GraphRAG), and query retrieval and evaluation.

• Model Evaluation & Prompt Engineering: Design and execute experiments to benchmark and evaluate model performance using both classical metrics (precision, recall, F-score) and GenAI-specific techniques (LLM-as-a-Judge, ROUGE, BERTScore). Develop and refine prompts to optimise GenAI model reasoning, accuracy, and overall effectiveness.

• Cross-Functional Collaboration: Work closely with business partners, stakeholders, and technical teams (data engineering, platform engineering) to translate business requirements into impactful AI solutions.

• Research & Innovation: Stay abreast of emerging tools, techniques, and best practices in LLMs, RAG, GenAI, model development & evaluation techniques and proactively apply new knowledge to drive innovation.

About You

Qualifications

• Advanced degree (MSc or PhD) in Machine Learning, Natural Language Processing, Artificial Intelligence, or a related field.
• Proven track record of delivering AI solutions from research to production in real-world applications.

Knowledge

• Strong foundation in machine learning algorithms and deep learning concepts including Neural Networks and Transformer-based architectures.
• Knowledge in developing and deploying scalable models on Databricks, Azure, and AWS, leveraging tools such as FastAPI and Docker.
• Proficient in model tracing and observability for LLM in production and implementing evaluation frameworks for model quality and reliability.
• Strong understanding of software engineering best practices, including version control, testing, and CI/CD for production-ready AI systems.
• Domain expertise in financial services or other regulated industries is highly desirable.

Experience

• Strong experience in AI/ML research and development, specializing in deep learning-based NLP, Information Retrieval, and Generative AI.
• Proven expertise in RAG/GraphRAG pipeline development and evaluation, including advanced retriever-reranker techniques.
• Experience in building knowledge bases and ontologies is highly desirable.
• Extensive experience in defining and implementing evaluation metrics for GenAI systems such as Recall, Precision, NDCG, LLM-as-a-Judge, BERTScore, BLEU score, and hallucination detection.
• Provide mentorship and technical guidance to junior AI Scientists

Skills

• Strong proficiency in Python and experience with frameworks such as NumPy, Pandas, Scikit-learn, and modern Generative AI libraries (e.g., LangChain, LlamaIndex, Azure AI Foundry).
• Hands-on experience with PyTorch, and leading LLM libraries such as Hugging Face, LangChain, LangGraph, and LlamaIndex.
• Skilled in hypothesis formulation, defining evaluation metrics, conducting literature reviews, and building reproducible prototypes with critical outcome analysis.
• Rapid Experimentation Mindset: Comfortable with a fail-fast, learn-fast approach, iterating quickly to validate ideas and accelerate innovation.
• Exceptional problem-solving skills and a strong passion for innovation.
• Excellent communication and collaboration abilities, thriving in cross-functional environments.

Inclusion & Diversity

We value diversity and strive to promote inclusivity in all aspects of our culture. We believe in equal opportunities for all, ensuring that no applicant encounters less favourable treatment based on anything but their skills, qualifications, experience, and potential. We celebrate the unique contributions of a diverse workforce and create a respectful, nurturing environment where every colleague can thrive.

Values

Do the right thing: We act with integrity and are proudly committed to going above and beyond in service of our clients and the support we provide our communities.
Always curious: We continuously seek new ideas and knowledge so we’re one step ahead of our clients’ needs. We look for inspiration everywhere and encourage experimentation, recognising that this is how we create brilliant solutions for brighter futures.
Embrace challenge: We aim high to transform our potential into meaningful outcomes. With ambition as our driving force and a steadfast commitment to growth, we succeed for the good of every generation.
Stronger together: Combining our diverse talents, we accomplish more collectively than we ever could do alone. We speak openly, actively listen, and support each other, and constructively challenge and embrace new ideas. We seek empowerment and demonstrate ownership and trust, with the confidence to make impactful decisions.

Core Benefits

Holiday: 182 hours (26 days)

Quilter Incentive Scheme: All employees are eligible to participate in incentive scheme, to incentivise business performance and their contribution.

Pension Scheme: A non-contributory company pension scheme that can be boosted through personal contributions.

Private Medical Insurance: Single cover as standard with options to increase cover to include your partner or children.

Life Assurance: 4x your salary.

Income Protection: 75% of salary, less state benefits, payable after 26 weeks of absence.

Healthcare Cash Plan: Jersey employees only

In addition to our core benefits, we offer a range of flexible benefits to UK employees that you can choose from and pay for conveniently via a salary deduction.

Quantitative Developer - London

Work model: Hybrid (4 days in office)
Level: 3 years’ experience

We are working with a technology-led hedge fund spin-out building a next-generation portfolio management and analytics platform used across multiple asset classes.

The role sits within a Cross-Asset Development team focused on building and enhancing a scalable front-office platform supporting trading, risk, and analytics functions.

This is a highly engineering-focused Quant Developer position, combining software development with exposure to financial markets and derivatives.

Role Summary

You will be responsible for developing and maintaining core components of a production trading and analytics platform, working closely with quants, traders, and product stakeholders.

The role is primarily focused on platform engineering rather than quantitative research or model development.

Key Responsibilities

• Develop and enhance core platform services in C#
• Implement analytics and model components into production systems
• Support and extend a proprietary analytics library in C++
• Build supporting tools and scripts in Python
• Work across distributed, cloud-based infrastructure
• Provide production support across multiple asset classes, with a focus on rates

Technology Environment

• C# (primary platform language)
• C++ (quant analytics library)
• Python (calibration, tooling, automation)
• SQL / data tools
• Cloud-based distributed computing (AWS-style environment)
• CI/CD and version control tooling
• Market data / trade ingestion systems

Essential:

• 3+ years’ experience in front-office or trading-focused development
• Strong coding ability in C# and/or Python
• Solid software engineering fundamentals (data structures, algorithms, design principles)
• Exposure to interest rate derivatives or broader fixed income markets
• Strong analytical mindset and problem-solving ability
• Degree in a technical or quantitative discipline

Desirable:

• C++ experience
• Exposure to FX, Credit, Equities or Commodities derivatives
• Experience working directly with traders or portfolio managers

Software Developer - SC cleared

Permanent | Hybrid (willing to travel to Newcastle) | Python | AI | BPSS

We are looking for Software Developers with strong Python and AI experience to work at an early stage alongside enterprise architects and senior engineers. You will help research, design and prototype the foundations of a new service, with particular emphasis on automation, integration and intelligent workflows.

You will join Peregrine who are supporting a large public sector organisation, starting an ambitious transformation programme focused on modernising how financial support services are delivered. The aim is to explore whether multiple existing approaches can be consolidated into a single, streamlined service.

This work is at Alpha stage, with a strong focus on research, prototyping and proving technical and architectural options.

This is a hands-on role suited to engineers who enjoy shaping solutions from first principles and working in exploratory delivery phases. The role is primarily remote, however travel to Newcastle may be required for sprint ceremonies and key workshops.

Responsibilities:

Engineers will contribute to research and development across:

* Workflow orchestration and process design

* Web portal options and user interaction patterns

* Data models and schema design

* Automation and AI, including AI assisted software development approaches

Skills & Experience:

* Strong experience with Python

* Experience applying AI or machine learning in practical solutions

* Focus on automation and system integration

* Comfortable working in early stage, fast evolving environments (Alpha project experience)

* AWS Services

* Active BPSS, SC clearance or eligible for clearance

* Desirable skills:

* Experience supporting AI or data driven platforms

* Knowledge of cyber security or fraud prevention domains

* Experience working within government or critical national infrastructure environments

About Peregrine

We build workforces that deliver tech and change programmes at leading UK organisations. By combining data science from Peregrine Intelligence, our industry-accredited Peregrine Academy, and market-leading attraction and diversity initiatives, we bridge capability gaps at all levels in public and private sector organisations. We work closely with our clients to understand their challenges and deliver flexible, long-term solutions that make a real difference. When you join Peregrine, you become part of a team that’s focused on growth, both yours, our clients’, and the sectors we support. You’ll also get access to a full range of benefits alongside your salary.

How Specialist Talent Works

As a permanent employee at Peregrine, you’ll be part of our Specialist Talent team. That means you’ll work on-site or remotely with our clients, supporting them on complex, high-impact projects in Data, Digital and Business Transformation. You’ll get the variety and challenge of consultancy work, with the stability and support of a permanent role. You’re not a contractor - you’re a valued member of our team, with access to all the same benefits, learning opportunities, and community.

Find out more: peregrine.global or check out our LinkedIn page: peregrine-resourcing