Newton Colmore is working with a highly regarded medical technology company in Cambridge, assisting them with their search for a Systems Engineer to work on their latest surgical ultrasound innovation.

The Challenge - Where physics meets surgery;

The organisation works on some of the most technically demanding problems in medical technology - intelligent surgical instruments, embedded sensing systems, robotic-assisted surgery, and real-time intraoperative imaging. Ultrasound sits at the intersection of all of it.

You won’t be applying existing solutions, you will be inventing new ones. Projects run from early feasibility through hardware prototyping, firmware, signal processing algorithms, and regulatory sign-off. You will own the ultrasound thread end-to-end in this newly created role.

What you will be working on;

Electronics and transducer architecture.

Lead design and evaluation of ultrasound transducers and the high-speed analogue/digital front-end electronics that drive them - including transmit beamforming, low-noise receive chains, and high-bandwidth ADC integration.

Signal processing and algorithm development

Develop real-time signal processing pipelines - from raw RF data through envelope detection, beamforming, and image reconstruction - with strong software implementation alongside the DSP theory.

Embedded software and system integration

Write firmware and embedded software to control ultrasound hardware, manage data acquisition, and interface with wider surgical system architectures. Comfort across C/C++, Python, and MATLAB is expected.

What you will need for this role;

You’ll need a strong grounding across ultrasound systems, with recognised depth in at least one of the areas below ideally. The electronics stack and software implementation are central to this role.

• High-speed electronics
• Transducer design
• Image segmentation
• Signal processing

What they can offer you:

The company have invested in created an environment that champions innovation, with both mentoring and autonomy for expert engineers who want to do great work. On offer is a tailored salary, based on a series of factors, as the seniority of the role can be flexible from someone who has just completed a PhD, all the way up to a senior appointment.

This comes with a bonus programme, and a market-leading pension contribution.

If you would like to know more about this exciting role then make a confidential application or reach out to Matt Lowdon, and more details can then be sent over.

Principal Software Engineer - AI & Innovation

Recruiting a Principal Software Engineer with a proven track record of delivering innovative, AI driven solutions and the curiosity to explore beyond traditional technology boundaries.

Within the newly createdAI & Innovation team, you will shape the future of the organisation’s products through cutting-edge technology, experimentation and creative thinking.

A truly exciting opportunity to influence and create something new.

Key Responsibilities

• Build innovative MVPs to validate ideas and accelerate learning
• Lead the design and implementation of scalable, high-performance software systems
• Collaborate closely with Product, Design, QA, and Engineering teams
• Evaluate, experiment and recommend new technologies, frameworks and tools
• Mentor and coach engineers to create a culture of innovation and continuous improvement
• Oversee code reviews and ensure delivery of high-quality maintainable software
• Troubleshoot and resolve complex technical challenges
• Contribute to strategic planning and align technology decisions with business goals

Essential Skills

• Significant experience in a senior software engineering position
• Proven experience delivering innovative AI solutions
• Practical knowledge of AI and recommend tools to best suit the needs
• Strong understanding of microservices and modern web architectures
• Deep expertise in programming languages and frameworks
• Extensive experience designing large-scale systems
• Strong knowledge of AWS cloud architecture and services
• Excellent problem-solving skills and a results-driven mindset
• Experience mentoring and guiding technical teams to deliver

Desirable Experience

• DevOps practices and CI/CD pipelines
• Secure-by-design development and security best practices
• Contributions to open-source projects

SRT Marine Systems plc (SRT) is a market leader in the domain of international marine surveillance technology and systems. We are a respected, established, and an ambitious multi-national company headquartered in the UK with a global customer base.

The company has a worldwide impact in the marine sector by leading the next generation of maritime domain awareness technologies “MDA”, products, and systems that significantly enhance security, safety, environmental protection, and sustainability. Our customers are global and range from the largest national coast guards to individual vessel owners.

SRT is an exciting company where high-quality results are rewarded. We are ambitious and constantly seek to innovate in order to deliver better products and services to our customers. We strive to make SRT a rewarding and challenging place to work, where talented, hard-working individuals have the opportunity to make a real impact across the marine industry.

We’re seeking an experienced and versatile Senior Software Engineer - Sensors join our Edge Team. This is a rare opportunity to help define and deliver our cutting-edge Maritime Surveillance and Fisheries Monitoring solutions, working at the intersection of hardware, software, and advanced sensor technologies.

About the role of Senior Software Engineer - Sensors - (not exhaustive):

In the Edge Team, you’ll work on the “sensors at the fringe” fixed and mobile surveillance equipment such as radars, cameras, RDF, AIS, and other specialist maritime sensors. Your mission as a Senior Software Engineer - Sensors will be to integrate, calibrate, and optimise these systems in non-production environments, building the software that makes their outputs usable for downstreamsystems and training our Delivery Team for field deployment.

The role spans multi-domain sensor fusion, AI-assisted analysis, anomaly detection, augmented reality, autonomous sentry operation, and evidence collection. You’ll work closely with colleagues across software, hardware, data science, and infrastructure to bring innovative, high-performance edge solutions to life.

What You’ll Be Doing - Senior Software Engineer - Sensors

• Design, develop, and maintain edge-sensor solutions focusing on performance, reliability, and scalability.
• Build test infrastructure to capture and analyse quality and performance metrics
• Work across the stack - UI, backend, robotics, device integrations, networking - learning new technologies as needed
• Collaborate with cross-functional teams to plan, build, and test complex functionality
• Diagnose and resolve technical issues through root cause analysis
• Automate SDLC processes to improve efficiency and reduce manual effort
• Produce and maintain technical documentation
• Mentor peers, contribute to code reviews, and promote collaborative working practices

What You’ll Bring - Senior Software Engineer - Sensors

• Strong engineering mindset with experience in one or more of: Microsoft .Net, GoLang, Python, C++, Rust.
• Broad exposure to remote sensing disciplines, including:
  • Mathematics, physics, and geospatial mapping
  • Working with sensor hardware and electronics
  • Networking principles, protocols, and services
  • Application development across embedded, desktop, and web platforms
  • Video and radar signal processing (e.g., OpenCV)
  • AI-based, hardware-accelerated image processing (e.g., YOLO)
• Familiarity with Enterprise Systems architecture
• Experience with version control systems (Git) and SDLC automation tools
• Excellent problem-solving, debugging, and collaboration skills

Why Join Us?

• Work on mission-critical maritime surveillance systems used worldwide
• Be part of an ambitious, innovative, and supportive team making a direct impact on global maritime safety and sustainability
• Enjoy flexible hybrid working
• Competitive salary and benefits, including:
  • Matched pension contributions up to 5%
  • Private health care
  • Development and training programmes

SRT Marine Systems plc is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and welcome applications from all backgrounds.

Job title: Senior Machine Learning Engineer

Locations: Manchester or Haywards Heath (hybrid working)

Role overview

Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines.

Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1 billion. Most of Markerstudy’s business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury’s, O2, Halifax, AA, Saga and Lloyds Bank to list a few.

As a Senior Machine Learning Engineer, you will use your skills to:

Tune machine learning methods to best leverage our state-of-the-art processing capabilities

Deploy and maintain machine learning methods in a DevOps / MLOps based machine learning environment

Create robust high-quality code using test-driven development (TDD) techniques and adhering to the SOLID coding standards

Your work will enable sustained improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation.

You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline by using robust test-driven development (TDD) approaches to maximise performance and robustness, and improve company performance and our customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers.

Key Responsibilities:

Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical Underwriting

Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current manual processes, and leverage DevOps and MLOps software.

Work in a collaborative environment with data science to help deploy machine learning methods that are state-of-the-art, robust, and future extensible.

Tune machine learning methods for optimal performance.

Deploy and maintain machine learning methods in our machine learning pipeline using robust test-driven development (TDD) coding approaches, using the SOLID software development principles.

Actively contribute to creating a culture of coding and data excellence

Implement efficient solutions across a range of markets, including Private Motor, Commercial Vehicle, Bike, Taxi, and Home

Lead and mentor junior machine learning engineers and share best practices

Key Skills and Experience:

Previous experience in tuning and deploying machine learning methods

Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering

Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc.

Experience with deploying services in Docker and Kubernetes

Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches

Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL)

Experience in source-control software, e.g., GitHub

Proficient at communicating results in a concise manner both verbally and written

Experience in data and model monitoring is a plus

Behaviours:

A high level of professional/academic excellence, educated to at least a master’s level in a STEM-based or DS / ML / AI / or mathematical discipline

Collaborative and team player

Logical thinker with a professional and positive attitude

Passion to innovate and improve processes

TPBN1_UKTJ

We’re hiring an experienced AI Platform Engineer to design, build and operate a production-grade Generative AI platform powering next-generation intelligent products. This is a hands-on engineering role focused on taking AI solutions from prototype to scalable, reliable services used in real-world environments.

You’ll sit at the intersection of DevOps, cloud infrastructure and applied AI owning the full lifecycle of Retrieval-Augmented Generation (RAG) and LLM-powered systems across modern cloud architecture.

This role is about engineering, not research. You will architect and run the infrastructure that enables AI to perform securely, reliably and at scale ensuring performance, cost control and operational maturity as adoption grows.

You’ll work closely with AI engineers, security teams, and product stakeholders to transform experimental models into hardened, production-ready services while shaping a reusable AI platform capable of supporting multiple products.

What You’ll Be Doing

• Design and optimise scalable RAG pipelines and vector search systems
• Orchestrate multi-model AI services with a focus on latency, resilience and performance
• Productionise GenAI workflows and ensure they operate reliably under real usage
• Build and run AI services across AWS and Databricks
• Develop ingestion, embedding and retrieval pipelines
• Deploy containerised workloads via Kubernetes and Helm
• Implement Infrastructure-as-Code using Terraform
• Introduce end-to-end monitoring, tracing and alerting for AI workloads
• Improve inference and retrieval performance while reducing operational cost
• Establish fault-tolerant, scalable infrastructure patterns
• Embed security, evaluation and governance into the AI lifecycle
• Build CI/CD pipelines and automation to support continuous model deployment
• Create reusable platform components to accelerate future AI initiatives

Strong experience in:

• Cloud infrastructure engineering (AWS-focused environments)
• Kubernetes, containerisation, and distributed systems
• Terraform / Infrastructure-as-Code
• CI/CD, automation, and platform reliability
• Running production workloads with high availability requirements

Plus, experience with one or more of the following:

• MLOps or ML platform engineering
• RAG architectures, embeddings, or vector search
• Model serving, observability or performance optimisation
• Data / AI workflow orchestration in Databricks or similar ecosystems

Why Join?

• Work on real-world AI systems operating at scale
• Own platform design decisions and influence long-term architecture
• Blend modern DevOps practices with cutting-edge Generative AI use cases
• Be part of a growing, innovation-driven engineering environment
• Opportunity to define how AI is operationalised across multiple products

If you’re excited by building the infrastructure that makes AI usable, scalable and reliable in production, we’d love to hear from you.

49914MSR1

INDLON

The Portfolio Group are acting on behalf of our client in recruiting for this position.

Location: Glasgow

Salary: Competitive

About Us

BiP Solutions are a SaaS business where data is at the core of everything we do. It s not just a function it s our competitive advantage. We are passionate about unlocking the full commercial value of our data to drive smarter decisions, better products, and stronger outcomes for our customers.

The Role

We re looking for a Senior Data Scientist to play a pivotal role in shaping and delivering our data strategy. This is a high-impact, hands-on position combining deep technical execution with strategic influence across the business.

You ll lead key data science initiatives, work closely with stakeholders across commercial, product, and technical teams, and help define how we leverage data as a true business superpower. Alongside this, you will mentor and manage two junior data scientists, supporting their growth and elevating the team s overall capability.

Working across the business

Reporting into our Director of Public Policy & Research, you will operate across our business, building with internal relationships with our Research & Insights, Technology, Product, Marketing and Sales functions as well as external relationships, with our wider data partners.

Given the cross-functional nature of this role, we will look for you to build, maintain, and strengthen trusted relationships across the business, ensuring data solutions are understood, embraced, and drive real commercial value.

Key Responsibilities

• Lead the design, development, and deployment of data science solutions that deliver tangible commercial value
• Work hands-on ( on the tools ) across the full data science lifecycle, from exploration to production
• Shape and contribute to the company s evolving data strategy
• Manage and mentor a team of two Data Scientists
• Promote best practices in data science, including experimentation, model validation, and reproducibility
• Communicate complex findings clearly to both technical and non-technical audiences

What We re Looking For

• Proven experience in a Senior Data Scientist or similar role, ideally within a SaaS or data-driven environment
• Strong hands-on expertise in data science tools and techniques (e.g. Python, machine learning, statistical modelling)
• Experience delivering data-driven solutions with measurable commercial impact
• Exposure to or experience with Elastic (Elasticsearch) is highly desirable
• Demonstrated experience managing or mentoring junior team members
• Excellent stakeholder management skills, with the ability to influence across multiple functions
• Strong problem-solving mindset with a proactive, commercially focused approach

Why Join Us?

• Be at the heart of a business where data truly drives decision-making
• Shape the future of our data capability and strategy
• Work on meaningful, high-impact projects with real commercial outcomes
• Opportunity to lead, mentor, and grow a talented data team
• Collaborative, fast-paced SME environment with real ownership and visibility

To Apply

If you feel you are a suitable candidate and would like to work for BiP Solutions, please do not hesitate to apply.

Company Details:

Join a fast-growing, award-winning software company that delivers end-to-end cloud solutions for practices and businesses. Youll work with innovative tools, a collaborative culture and meaningful career progression

Role Overview:

My client is a fast-growing, award-winning software company that delivers end-to-end cloud solutions for practices and businesses. They are looking for an API Engineer to join the team, where you’ll be building API infrastructure that enables their product, third party integrations, their users and AI services to interact with their established product portfolio.

Key Responsibilities:

• Design and implement RESTful APIs that expose product capabilities to AI services and third-party integrations
• Build production-grade APIs using C# .NET, SQL, and Azure services
• Implement authentication and authorization using OAuth and modern security patterns
• Write clean, maintainable, well-tested code with comprehensive documentation
• Implement logging, monitoring, and error handling for production APIs
• Optimize API performance and query efficiency
• Work with AI platform teams to understand requirements and consumption patterns
• Collaborate with product engineering teams to expose functionality through consistent APIs
• Learn from senior engineers and contribute to architectural discussions

Qualifications:

• Software engineering experience with focus on backend development and APIs
• Strong C# .NET skills for building APIs and services
• Solid SQL knowledge including database querying, basic optimization, and working with relational databases
• Experience building RESTful APIs for web or mobile applications
• Understanding of API design principles including REST conventions, HTTP methods, status codes, and error handling
• Familiarity with authentication using OAuth, JWT, or API keys.

This is a full-time, permanent role, with a flexible hybrid working arrangement: minimum 2 days in the Warwick office and 3 days from home.

Our client offers a competitive salary, excellent benefits, and strong opportunities for career progression.

Apply online to be considered.

Scala Developer with solid functional programming understanding is sought on a remote basis by an international software house based in the UK.

This Scala Developer would be joining the innovation arm of the business tasked with building complex, highly scalable greenfield solutions utilised worldwide to deliver critical infrastructure. As such experience working on enterprise level applications would be a plus.

This Scala Developer will be joining a collaborative, continuous improvement focussed environment working within a mature estate but with scope to upskill in modern automation & containerisation technology.

With a real commitment to employee wellbeing and personal development this Scala Developer can expect long term commitment to remote, flexible working and a clearing defined progression path with 2 self promotion opportunities a year alongside companywide commitment to wellbeing by providing a best in class physical and mental wellbeing program.

This Scala Developer should have most of the following key skills:

• At least three years commercial scala programming
• Strong framework experience (Akka, Play etc)
• Relational database experience - PostgreSQL - MongoDB, NoSQL
• RESTful API design and integration experience
• Solid unit test understanding - Spec2, scalaTest etc
• Experience working in a TDD/ BDD driven environment
• Containerization experience - Docker, Kubernetes etc
• Awareness of cloud technologies would be useful

This Scala Developer will receive:

• Starting salary of up to £80,000
• Long term remote working
• Company ownership shares
• electric company car scheme
• long term hybrid working
• Flexible working hours
• 2 promotion and salary review opportunities each year
• Best in class physical & mental wellbeing scheme
• Private pension scheme
• Training and personal development budget and time allocation
• Wellbeing protection (death in service, critical illness cover, income protection)
• Extensive career progression opportunities
• 25 days holiday plus bank holiday with holiday buy & sell scheme
• Choice of technology

So if you are a Senior Scala Developer who likes the idea of building enterprise applications within a well-established friendly team then please apply now to be considered and for further details.

Scala Developer
Up to £80,000
Scala, REST Api, NoSQL, TDD/ BDD, functional programming, CI/CD, Play, Akka

Product Manager - Artificial Intelligence (Legal Technology)
£60,000-65,000
Hybrid: 3 days on site at a site in East Anglia (various office locations available)
Permanent | Full-time
Shape the future of AI in legal services

We’re looking for a Product Manager with strong experience in AI-driven solutions to lead the development of innovative tools that transform how legal professionals work.

This is a highly specialised role at the intersection of AI, legal workflows, and user experience, focused on delivering solutions that require precision, trust, and measurable impact.

Key Responsibilities
You’ll own and drive AI products that enhance legal workflows such as contract drafting, document review, legal research, and compliance processes.

Working within a cross-functional AI team, you will:

• Own the AI product roadmap with a clear focus on legal workflow optimisation
• Lead delivery across the full product life cycle, aligning engineering, data, and design
• Translate complex legal challenges into scalable AI solutions
• Facilitate discovery sessions with legal professionals to identify high-value opportunities
• Evaluate and implement AI tools (eg LLMs, NLP, RAG pipelines) in production environments
• Ensure solutions meet high standards for accuracy, confidentiality, and risk
• Drive adoption through intuitive user experiences and clear value articulation
• Define and track success metrics (accuracy, efficiency, adoption, ROI)
• Embed responsible AI principles including transparency, governance, and compliance

What makes this role different

• You’ll build AI products used in high-stakes, real-world decision-making
• You’ll work closely with domain experts including legal and compliance professionals
• You’ll solve problems where accuracy and trust are critical
• You’ll play a key role in shaping how AI is Embedded into professional services

Skills and Experience
Essential

• Proven track record as a Product Manager in a digital or technology-led environment
• Hands-on experience delivering AI/ML-powered products
• Strong understanding of:
  • Large Language Models (LLMs)
  • NLP, classification, extraction, summarisation
  • Retrieval-Augmented Generation (RAG) or similar architectures
• Experience working in regulated environments (eg legal, financial services, healthcare)
• Strong Agile delivery experience working with cross-functional teams

Highly desirable

• Experience with legal technology or legal workflows
• Understanding of:
  • Contract life cycle management
  • Document automation or review systems
  • Compliance or regulatory processes
• Experience evaluating third-party AI vendors and tools

Eligibility
Applicants must have full right to work in the UK without the need for sponsorship, now or in the future.

If you have the relevant experience for this role and happy to be 2 days on site/week in either Ipswich, Norwich, Chelmsford or Cambridge and 1 day in Ipswich, please apply using the link provided.

Software Engineer | Building Intelligent Systems That Make an Impact

London, Manchester or Cheltenham

4 or 5 days a week on site

Existing SC or DV Clearance is required

National Security Sector

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

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

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

Key Skills and Attributes

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

Preferred Background

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

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

Location: Hybrid - 2-3 days onsite in Warrington (travel / expenses will be covered)
Permanent
Salary: Depending on experience

Our client is seeking an experienced Data & AI Solutions Architect to shape and lead the design of modern cloud-based data and AI platforms for enterprise clients. This is a client-facing consulting role, ideal for someone who can bridge business goals with robust, future-proof technical architectures - and guide delivery teams in bringing those solutions to life.

You will be at the forefront of designing end-to-end data and AI ecosystems across Azure and Microsoft Fabric, enabling organisations to unlock insight, automation and value from their data. From discovery through to delivery, you will influence technical direction, shape roadmaps, and ensure solutions are both visionary and practical.

Key Responsibilities:

Lead Client-Facing Solution Design

• Shape and lead data and AI architectures that connect business priorities to scalable, modern cloud platforms.
• Run discovery, assessment and design workshops, turning needs into actionable solution patterns.
• Translate high-level strategy into detailed architectural designs, ensuring clarity and alignment across stakeholders.

Architect Modern Data & AI Platforms

• Design end-to-end data platforms, including ingestion, lakehouse/warehouse, semantic models and analytics layers.
• Architect solutions using Azure and Microsoft Fabric, ensuring scalability and long-term maintainability.
• Integrate Machine Learning and AI capabilities into the wider data ecosystem to support predictive and generative use cases.

Provide Technical Leadership & Delivery Assurance

• Produce roadmaps, architecture artefacts and platform documentation to guide engineering teams.
• Support key architectural decisions and ensure best practice across security, governance and performance.
• Offer hands-on technical oversight throughout solution implementation.

Support Pre-Sales & Client Growth

• Contribute to pre-sales activity, including solution shaping, PoCs, proposals and executive presentations.
• Articulate the value of data and AI platforms to senior business and technical stakeholders.
• Help drive client adoption of modern cloud capabilities, acting as a trusted advisor.

Requirements:

• Experience across data, analytics or solution architecture roles.
• Strong experience architecting solutions on Azure and/or Microsoft Fabric (e.g., Lakehouse, Data Warehouse, Synapse, Data Factory, OneLake).
• Solid understanding of AI/ML solution patterns, including integration with modern data platforms.
• Proven ability to run workshops, lead design engagements and simplify complex concepts for diverse audiences.
• Strong consulting and stakeholder-facing skills, including senior engagement and influence.
• Ability to produce clear architectural documentation, roadmaps and decision frameworks.
• A strategic yet pragmatic mindset - balancing innovation with delivery reality.

If this sounds like your next move, we’d love to connect!

OurclientisbuildingthemostadvancedAIplatformintheirmarket.Theyhelptheirclientsservecustomerswithunmatchedspeedandaccuracy.

TheyveinvestedheavilyintobuildingtheMLstack,partneredwithleadinguniversities,andtrainedmodelsonmillionsofexpert-taggedimages.Now,theyrescalinggloballyandneedaworld-classLeadDataScientisttohelppushtheboundariesofcomputervision,videoanalysis,andmultimodalLLMswhilesolvingreal-worldchallenges.

RoleOverview

TheyarelookingforanexperiencedLeadDataScientisttospearheadmachine-learninginitiatives,withparticularfocusoncomputervision,largelanguagemodels,andproductionreadyMLpipelinesinAzure.Youwillactasthetechnicalleadfortheteam,settingdirection,guidingbestpractices,andensuringthesuccessfuldeliveryofhigh-impactAIsolutions.

KeyResponsibilities

Develop,train,anddeploycomputervisionmodels(objectdetection,imageclassification,segmentation,multi-modallearning)

Fine-tune,evaluate,andproductionisemulti-modalLLMsforbusinessapplications.

DriveexperimentationandprototypingofadvancedML/AItechniques

Providetechnicaldirection,mentoring,andhands-onguidancetothedatascienceteam.

Workwithengineering,product,andbusinessstakeholderstoalignMLstrategywithbusinessgoals.

Architectandproductioniseend-to-endMLpipelinesonAzure,whileensuringscalability,reproducibility,andmonitoringofdeployedmodels.

Requirements

6+yearsindatascience/ML,withatleast2yearsinatechnicalleadrole.

Deepexperienceintraininganddeployingcomputervisionmodelsintoproduction

ProventrackrecordwithLLMfine-tuning,promptengineeringandproductionisation

DeepexperienceinMLOpsonAzure,includingCI/CD,monitoringandscalingpipelines.

StrongcodingskillsinPython,withframeworkssuchasPyTorch,FastAPIandAzureCLI.

ALL APPLICANTS MUST BE FREE TO WORK IN THE UK
Exposed Solutions is acting as an employment agency to this client.
Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.

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.

Stevenage We are looking for a talented Software Engineer with a strong background in data science to join our team, working within a concept programme. The role is ideal for someone who thrives when working within a research environment, exploring new and different ways of working to prepare us for future needs! Salary: Circa £65,000 depending on experience Dynamic (hybrid) working: typically, 4 to 5 days per week on-site due, to workload classification Security Clearance: British Citizen or a Dual UK national with British citizenship . Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team. What we can offer you: Company bonus: Up to £2,500 (based on company performance and will vary year to year) Pension: maximum total (employer and employee) contribution of up to 14% Overtime: opportunity for paid overtime Flexi Leave: Up to 15 additional days Flexible working: We welcome applicants who are looking for flexible working arrangements Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments Facilities: Fantastic site facilities including subsidised meals, free car parking and much more… Healthcare Cash Plan: The Healthcare Cash Plan benefit provides the option to claim cash back on everyday healthcare expenses such as optical, dental, health and wellbeing and more . The opportunity: You will play a key role, with responsibilities in areas of: Design and development of scalable software systems/solutions with integrated data science capabilities. Creating and maintain database schemas and data models Maintain and enhance existing architectural components such as Data Ingest and Data Stores. Troubleshooting and diagnosing issues within integrated (enriched) data systems. Work with complex dataset to extract insights that supports drive decisions/solutions Translate experimental ideas into production-ready solutions Monitor system performance and implement updates to maintain optimal operation. Continuously evaluate emerging technologies, engaging wider to incorporate them into our development strategies What we’re looking for from you: Strong and significant software engineering experience (C++, Java or similar) Solid background in data science and machine learning research, or statistical modelling Experience developing and prototyping novel systems or approaches Ability to take research concepts through to practical application An adaptable and continuous learning mindset Strong problem-solving skills and research-oriented mindset Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom. We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity, Disability and more… We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. Follow us on LinkedIn (MBDA), X (@MBDA_UK), Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information. #LI-RS1

Stevenage

We are looking for a talented Software Engineer with a strong background in data science to join our team, working within a concept programme. The role is ideal for someone who thrives when working within a research environment, exploring new and different ways of working to prepare us for future needs!

Salary: Circa £65,000 depending on experience

Dynamic (hybrid) working: typically, 4 to 5 days per week on-site due, to workload classification

Security Clearance: British Citizen or a Dual UK national with British citizenship .

Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team.

What we can offer you:

• Company bonus: Up to £2,500 (based on company performance and will vary year to year)
• Pension: maximum total (employer and employee) contribution of up to 14%
• Overtime: opportunity for paid overtime
• Flexi Leave: Up to 15 additional days
• Flexible working: We welcome applicants who are looking for flexible working arrangements
• Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments
• Facilities: Fantastic site facilities including subsidised meals, free car parking and much more
• Healthcare Cash Plan: The Healthcare Cash Plan benefit provides the option to claim cash back on everyday healthcare expenses such as optical, dental, health and wellbeing and more .

The opportunity:

You will play a key role, with responsibilities in areas of:

• Design and development of scalable software systems/solutions with integrated data science capabilities.
  • Creating and maintain database schemas and data models
  • Maintain and enhance existing architectural components such as Data Ingest and Data Stores.
  • Troubleshooting and diagnosing issues within integrated (enriched) data systems.
• Work with complex dataset to extract insights that supports drive decisions/solutions
• Translate experimental ideas into production-ready solutions
• Monitor system performance and implement updates to maintain optimal operation.
• Continuously evaluate emerging technologies, engaging wider to incorporate them into our development strategies

What we’re looking for from you:

• Strong and significant software engineering experience (C++, Java or similar)
• Solid background in data science and machine learning research, or statistical modelling
• Experience developing and prototyping novel systems or approaches
• Ability to take research concepts through to practical application
• An adaptable and continuous learning mindset
• Strong problem-solving skills and research-oriented mindset

Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given

MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom.

We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity, Disability and more

We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process.

Follow us on LinkedIn (MBDA), X Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information.

White Collar Factory (95009), United Kingdom, London, LondonEngineering Manager – Software & MLAbout this role

We are looking for a Software Engineering Manager who brings a solid foundation in modern development and some experience with Machine Learning environments. You’ll lead and grow a team that builds the core software powering our data-driven financial products, ensuring our models are integrated into seamless, consumer-facing experiences.

What you’ll do

• Lead & Scale: Support a cross-functional group of engineers to design, develop, and integrate software features that are vital to the lives of credit card consumers.
• Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals.
• Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively integrated into our production software.
• Build Robust Systems: Oversee the development of platforms that are performant, secure, and capable of handling the unique deployment needs of AI-powered features.
• Optimize Delivery: Enhance engineering and agile processes, ensuring that model updates and software releases move in sync.

What we’re looking for

• Leadership Excellence: Proven experience leading and supporting software engineering teams to achieve business goals.
• Technical Breadth: Excellent knowledge of RESTful API development in modern languages (Java, Python, or .Net) and experience with Cloud environments (AWS or Azure).
• AI Awareness: You aren’t necessarily a researcher, but you have expectations of how AI fits into the stack. You understand the basics of model inference, data requirements, and how to manage the non-deterministic nature of AI.
• Strategic Thinking: Comfortable making technical trade-offs between the need for rapid experimentation and long-term architectural stability.
• Collaborative Mindset: Ability to communicate effectively across engineering teams to maximize inner-sourcing and reduce technical debt.

What you’ll get to learn

• ML Integration at Scale: How to take machine learning models out of the lab and into a high-concurrency production environment.
• Regulated AI: Navigating the complexities of fairness and transparency in a regulated financial landscape.
• Cloud Evolution: Deepening your expertise in AWS/Cloud native tools that support modern intelligent applications.

Where and how you’ll work

This is a permanent position based in either our London or Nottingham offices.

We have a hybrid working model. You’ll be based in the office 3 days a week (Tuesdays, Wednesdays, and Thursdays) to foster team connection and collaboration.

What’s in it for you

• Innovation Time: We give you 10% of your time to work on cutting-edge projects—whether that’s exploring new AI frameworks or building internal tools.
• Growth: Access to Capital One University and external training to help you grow as both a leader and a technical strategist.
• Total Reward: Competitive salary, performance bonus, and immediate access to core benefits (pension, private medical, and generous holiday).
• World-Class Facilities: From our Nottingham gym and music rooms to our London rooftop running track and premium coffee bars.

Our Commitment to Diversity

We pride ourselves on hiring the best people, not the same people. We partner with organisations like Women in Tech and Stonewall to ensure we build teams that reflect the customers we serve. We offer a host of internal networks including REACH (Race Equality and Culture Heritage), OutFront (LGBTQ+ support), and Mind Your Mind.

Capital One is committed to diversity in the workplace.

If you require a reasonable adjustment, please contact ukrecruitment@capitalone.com All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.

For technical support or questions about Capital One’s recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Who We Are

At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.

Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Machine Learning | Deep Learning | Time Series | Climate | Remote Sensing | PyTorch | scikit‑learn | Geospatial | AWS | MLOps | Python | Risk Modelling | FinTech | Do you want to work with a business building AI‑native data system that bring clarity and credibility to nature‑based assets? A business tackling complex, real‑world environmental challenges, helping organisations make high‑impact decisions around risk, resilience and commercial performance? This is the chance to join as a Machine Learning Engineer working with a climate‑tech scale‑up applying cutting‑edge Machine Learning to satellite data, weather models and environmental signals, reshaping how nature is valued in real‑world decision‑making. Joining their AI team, you’ll design and deploy models that forecast climate volatility, detect vegetation stress, and generate risk‑driven insights from remote sensing and time‑series data. You’ll work across AI, climate science, geospatial modelling and scalable pipelines, contributing meaningfully from day one. What you’ll be working on: • Building and evaluating Machine Learning/DL models for satellite, weather and climate data • Forecasting environmental and risk‑related signals (volatility, vegetation stress, land‑surface change) • Developing geospatial and remote‑sensing models (Sentinel‑1/2, GEDI, optical, radar, LiDAR) • Creating time‑series and forecasting models for environmental change • Translating business questions into robust modelling problems • Turning research prototypes into scalable, reproducible AI pipelines • Communicating assumptions, uncertainty and results clearly The must‑haves: • Strong background in Machine Learning, DL and Applied Statistics • Time‑series modelling + backtesting • Experience with geospatial and climate datasets • Python stack: PyTorch, scikit‑learn, scipy • Reproducible workflows (Git, AWS/cloud, W&B) Nice‑to‑haves: • Risk modelling, financial time series, portfolio optimisation (great for FinTech/quant backgrounds) • Climate/weather datasets (CMIP, forecast data) • Geospatial tools: rasterio, xarray, geopandas, GDAL • Remote sensing (optical, radar, LiDAR) • MLOps: CI/CD, containerisation, monitoring • Startup or fast‑paced product environment The role offers £110k–£130k, a global team environment, and the chance to shape the future of AI‑powered environmental and risk intelligence. If it ticks those boxes, don’t hang about message me: (url removed) Machine Learning | Deep Learning | Time Series | Climate | Remote Sensing | PyTorch | scikit‑learn | Geospatial | AWS | MLOps | Python | Risk Modelling | FinTech

We’re looking for someone rare. Not a traditional developer. Not someone who’s just “played around” with AI tools. Someone who lives and breathes this space. The opportunity Everlinked is evolving. We’ve spent nearly 20 years building trust in the manufacturing space through recruitment. Now, we’re seeing a clear shift: Business owners know they need AI. They don’t know where to start. They don’t have anyone they trust to guide them. We’re building that bridge. We’re already working on real systems for clients — and this role is about helping us go all in. What you’ll be doing You’ll work directly with the founder to: Design and build agentic AI systems for real-world business use Turn commercial ideas into working applications quickly Build internal tools to improve how we operate Develop client-facing systems across multiple industries (primarily manufacturing) Own and shape the technical direction of what we build This isn’t theory. This isn’t sandbox work. You’ll be building systems that actually get used. The type of person we’re looking for You are: Deeply curious — you’re constantly learning, testing, breaking, rebuilding Technically sharp — comfortable with APIs, scripting, and system design Obsessed with AI — this isn’t a trend to you, it’s your world Commercially aware — you understand that the end goal is useful, working systems Security-conscious — you think about how things hold up in the real world Builder mindset — you’d rather ship something than talk about it You’ve likely: Studied something relevant (Computer Science, AI, etc.) or are self-taught to a high level Spent serious time experimenting with LLMs, agents, automation tools Built things — side projects, tools, systems — not just tutorials Tech & tools (indicative, not exhaustive) LLMs (OpenAI, Anthropic, open-source models) Agent frameworks / autonomous workflows Replit / cloud environments APIs, integrations, data pipelines Basic frontend/backend understanding Security fundamentals You don’t need to know everything — but you need to be able to figure anything out. How we work Office-based in Newquay Fast-moving, low ego, high ownership You’ll work across two businesses: Building internal systems Building client-facing AI solutions This is a chance to be early in something that’s going to grow quickly. Why this role is different You won’t be: Maintaining legacy code Working in a slow corporate environment Building things that never get used You will be: Shaping how real businesses adopt AI Building systems from scratch Working directly with decision-makers Seeing your work deployed and making an impact Final note We don’t expect you to tick every box. But we do expect: Intelligence Curiosity Obsession with the space If that sounds like you — we should talk

\* Leading Digital Transformation Consultancy \* Hybrid-working (Manchester + Home-based) \* c£60,000 to £75,000 per year (DOE) \* Plus an excellent company benefits package (including Private Healthcare, Bonuses, Professional Accreditations and Subscriptions, 25 days Annual Leave + Bank Holidays, etc.) The Opportunity: We are supporting a leading IT Consultancy operating at the forefront of digital services and transformation across the UK public sector are seeking an experienced Senior Data Engineer to play a key role in designing and delivering modern, scalable data platforms that support critical national services. Working within collaborative, multi-disciplinary teams, you will take ownership of end-to-end data engineering delivery across greenfield and transformation initiatives. You will influence technical direction, guide engineering best practice, and support the development of high-quality, robust data services that operate at enterprise scale. You will be consulting across modern cloud ecosystems and data technologies, with opportunities to deepen expertise in Python, SQL, cloud-native data tooling, orchestration platforms and streaming technologies across AWS, Azure and GCP. Skills and Experience: \* Proven experience delivering production-grade data engineering solutions within complex environments \* Strong Python skills for building, testing and operating scalable data pipelines \* Experience working with at least one major cloud platform (AWS, Azure or GCP) \* Strong SQL expertise and experience working with relational databases such as PostgreSQL or Microsoft SQL Server \* Experience working with NoSQL technologies such as DynamoDB, MongoDB or similar \* Hands‑on Kafka (or equivalent streaming) and workflow orchestration (Airflow) experience \* Strong understanding of data architecture patterns including data lakes, warehouses and event-driven architectures \* Experience of consulting across Agile delivery environments, implementing data quality, validation and monitoring frameworks Role and Responsibilities: \* Lead the design, build and delivery of data platforms and services across the full engineering lifecycle \* Own technical delivery of data pipelines, models and platform components, ensuring solutions are robust, scalable and maintainable \* Design, develop and deploy ETL/ELT pipelines to ingest, transform and optimise large-scale datasets \* Build and operate event‑driven architectures (Kafka) and orchestrate workflows (Airflow) \* Apply strong data architecture principles across data lakes, warehouses and event-driven solutions \* Develop and maintain streaming pipelines using technologies such as Kafka \* Implement monitoring and observability solutions using tooling such as Prometheus and Grafana \* Ensure data quality, validation and governance processes are built into engineering workflows \* Act as a trusted technical advisor to clients and stakeholders (client-facing), translating business requirements into robust engineering solutions \* Support delivery planning activities, including estimation, risk identification and dependency management \* Mentor and support other engineers, contributing to a culture of continuous improvement and engineering excellence Applications: Please contact Edward Laing here at ISR to learn more about our client and how they are leading the way in developing the next generation of technical solutions through innovation and transformational technology?

Role- Data Scientist Location: London, UK Type of job : Contract Work mode : Hybrid- 2 days onsite in a week Responsibilities: \* Explore, clean, and analyse large, complex datasets to uncover patterns, trends, and opportunities that drive actionable insights. \* Develop, train, and validate machine learning, statistical, and predictive models that solve real business problems and deliver measurable impact. \* Design and run experiments (A/B tests, hypothesis tests, simulations) to evaluate ideas, quantify outcomes, and guide decision‑making. \* Collaborate with data engineers, analysts, product managers, and domain experts to translate business requirements into well‑defined modelling tasks. \* Build end‑to‑end ML pipelines—from feature engineering and preprocessing to deployment‑ready model outputs. \* Apply advanced techniques such as NLP, time‑series forecasting, anomaly detection, optimisation, or LLM/GenAI methods where relevant. \* Implement model evaluation frameworks using offline metrics, cross‑validation, online experiments, and human‑in‑the‑loop feedback loops. \* Communicate insights clearly through dashboards, visualisations, written summaries, and presentations tailored to technical and non‑technical stakeholders. \* Ensure models are interpretable and explainable where required, providing transparency into key drivers and assumptions. \* Work with engineering teams to deploy models into production, monitor performance, and retrain or recalibrate as data and conditions change. Essential skills: Hands-on experience with GenAI, Gemini or Open source LLMs and develop GenAI applications for Code Translation, Text Extraction, Summarisation and SDLC Optimization etc. \* Hands-on Experience with AI Agents, Chat bots, RAG (Retrieval-Augmented Generation), and vector databases. ( PG vector / croma DB ) \* Hands-on Experience with GenAI Performance Evaluation tools like Pegasus, Ragas, DeepEval \* Create Conversational Interface with React JS or other Frontend components, Develop and deploy AI agents using LangGraph and ADK, A2A, MCP \* Strong programming skills in Python (experience with LangChain/LangGraph / LangSmith frameworks) and TypeScript ( preferable ) \* Solid understanding of LLMs, prompt engineering, and graph-based workflows. \* Knowledge and implementation of Input and Output guardrails in addressing Hallucination, PII filtering, HAP and Bias etc. \* Implemented security best practices, Experience to address spikes and Denial of wallet attacks, DDoS attack and other Spike arrest strategies \* Knowledge of API Gateways and ISTIO , ability to Diagnose and intercept failures in End to End communication \* Hands-on Experience with API Development and Microservices architecture Desirable experience: \* Strong experience applying machine learning, statistical modelling, and predictive analytics to real‑world business problems. \* Collaborate with cross-functional teams to ability to resolve end to end connectivity and Data Integrations \* Experience working with large, complex datasets, including data cleaning, feature engineering, and exploratory data analysis. \* Familiarity with LLMs, NLP techniques, and GenAI frameworks, including embeddings, prompt engineering, or fine‑tuning. \* Experience building end‑to‑end ML pipelines, including model validation, optimisation, deployment, and monitoring. \* Understanding of MLOps practices, including model versioning, model registries, CI/CD for ML, and automated training/inference workflows. \* Ability to translate business problems into analytical tasks and communicate insights in a clear, concise manner to technical and non‑technical audiences. \* Knowledge of data governance, including data quality, lineage, ethics, privacy considerations, and responsible AI principles. \* Comfort working with cloud platforms (GCP preferred) for model training, deployment, and scalable compute. \* A growth‑oriented mindset with enthusiasm for exploring new algorithms, tools, and emerging AI/ML techniques

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