Databricks Architect – (Databricks, Azure, Lakehouse, ETL/ELT, Data Architecture) – Permanent – Reading (Hybrid)

Charles Simon Associates are currently recruiting for a Databricks Architect on behalf of a global organisation delivering large-scale Azure Databricks data platform transformations.

This is a key role where you will take ownership of Databricks architecture, Azure data platforms, and end-to-end data solutions, with a strong focus on Lakehouse architecture and greenfield Databricks implementations.

All candidates must be British Citizens due to travel requirements.

Location: Reading (Hybrid)

Salary: Up to £90,000 Per Annum (DOE)

Skills/Requirements for the Databricks Architect:

• Proven experience as a Databricks Architect/Data Architect
• Strong hands-on experience with Azure Databricks (ETL / ELT pipelines)
• Experience working across Azure Data Lake, Azure Data Factory and cloud platforms
• Understanding of Databricks Lakehouse architecture
• Experience designing enterprise-level data architectures
• Data modelling (conceptual, logical, physical)
• Implementing data governance, security and compliance frameworks
• Ability to work closely with stakeholders and present Databricks architecture designs

Desirable Skills:

• Experience in large enterprise environments
• Agile delivery experience
• Industry experience (e.g. retail)

The Databricks Architect will be responsible for:

• Designing and delivering Databricks-based data platforms
• Building and optimising Azure Databricks ETL / ELT pipelines
• Leading Lakehouse architecture implementations (greenfield Databricks projects)
• Working across Azure Data Lake, Data Factory and multiple data sources
• Implementing performance optimisation (partitioning, clustering) within Databricks
• Defining data models and Databricks architecture standards
• Establishing data governance and security frameworks
• Aligning data architecture with enterprise cloud strategy
• Supporting development using PySpark, SQL and Python within Databricks
• Working within CI/CD and DevOps environments (Git-based)

About You:

• Strong technical background in Databricks and Azure data platforms
• Able to design and deliver scalable Databricks data architecture solutions
• Confident engaging with both technical and business stakeholders
• Proactive and comfortable taking ownership of Databricks architecture decisions

Additional Information:

• Opportunity to work on enterprise-scale Databricks platforms
• Strong focus on modern Azure data architecture and Lakehouse technologies
• Clear progression and long-term opportunity within the business

Start date is ASAP for the Databricks Architect

If you are an experienced Databricks Architect looking to work on modern Azure Databricks platforms and large-scale data architecture projects, please apply with your latest CV for immediate consideration.

Databricks Architect – (Databricks, Azure, Lakehouse, ETL/ELT, Data Architecture) – Permanent – Reading (Hybrid)

Algorithms EngineerSalary: £45,000–£58,000 depending on experienceLocation: Stevenage or Bristol (typically 4 days a week on-site per week) Work on advanced RF seeker and sensing technology within a technically demanding engineering environment as an Algorithms Engineer. The role offers exposure to complex weapons systems work across algorithm development, modelling, system studies and performance analysis.This position would suit someone who enjoys solving difficult engineering problems, working across disciplines, and contributing to the development of high-performance systems in the defence sector.You will be responsible for:

• Developing, refining and validating algorithms for complex seeker and sensing applications
• Running technical investigations, analysing results, and using evidence to support design changes and performance improvements
• Working with multidisciplinary teams to integrate algorithms into system models and assess overall system behaviour

We are looking for experience in:

• Algorithm development
• MATLAB
• Planning and conducting investigations to inform systems design
• Data analysis
• RF systems and digital signal processing would be highly desirable, as would be the use of Simulink
• Security requirements: you must be a British Citizen eligible for high level security clearance

Benefits:In return, the role offers a competitive salary, annual bonus, strong pension contributions, paid overtime, additional flexible leave, flexible working options, enhanced family-friendly benefits, and access to excellent onsite facilities.Security Clearance: Due to the nature of work at our client’s site, these vacancies are only open to British Citizens or Dual UK nationals with British citizenship. Applicants must be able to obtain and maintain relevant clearance. Electus Recruitment Solutions provides specialist engineering and technical recruitment solutions to a number of high technology industries. We thank you for your interest in this vacancy. If you do not hear from us within seven working days, please presume your application has been unsuccessful on this occasion. You are free to resubmit your CV or details in the future, and we shall assess your suitability then.This is a permanent role.

Job Market – IT / Developer AI Product Developer – About the role My tech-savvy marketing client are seeking an AI Developer to add to their team. The brand sits across several apps: call tracking, AI call intelligence, an AI voice agent, talking forms, SMS, and an internal control centre. Portal is the gateway clients log into to access whichever apps they have. The use AI coding tools as the centre of how they build software so you will need to be confident using them already. AI Product Developer – Key duties You will be the developer for Portal, and own the build. Working closely with the Managing Director, you will talk through what needs building and build it using their AI development pipeline. The role is mid-level. As Portal expands and we build a team around it, the path to lead is real if you earn it. They have built an AI-leveraged development pipeline; In practice that means: Claude Code as the primary coding environment, and a set of AI agents that handle architecture, code review, security review, code quality, QA, and documentation. They define what needs building, the pipeline does a lot of the typing, and the developer directs it, reviews the output, and ships. Your value is in defining the work clearly, directing the pipeline, catching what the AI gets wrong, and making good calls. Not in how fast you can type. What you’ll work with: Beyond Portal itself, the wider stack includes large language models, speech recognition, AI voice agents that hold real conversations on the phone, and proprietary telecoms infrastructure. It is interesting work. They are more focused on building something brilliant than on chasing the next quarter’s revenue. The revenue is fine. We care about building the thing properly. AI Product Developer- Key requirements Comfortable with Supabase, Postgres, and SQL, or able to get there fast Already using AI coding tools daily — Claude Code, Cursor, Copilot, or similar. We will ask you to demonstrate this. The ideal candidate will be able to: Take a brief, asks the right clarifying questions, then build Be honest about what they do not know Be comfortable being challenged and having work sent back Suggest improvements when they see something that should be better Along with our client, we are committed to a diverse workforce and as such recruit from a wide available pool of talent, with the hiring, assessment and selection process being fair, free from bias and one which ensures the right person is selected for the job, based on merit. We treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances. A copy of our D&I policy can be made available upon request.

Backend Software Engineer / Developer (Python API AWS SaaS) Remote Scotland to £65k

Are you a backend focussed technologist with strong Python, API and AWS cloud experience?

You could be progressing your career in an impactful, hands-on engineering position for a successful and growing technology company, helping to build a large-scale video platform on the Amazon Web Services Cloud.

The core product allows business users to capture data via integrated mobile services utilising video analytics and speech recognition to analyse and categorise information within the workflows of large field workforces (field engineers, field service, auditing, reporting, health-and-safety, sales, etc.); customers are typically large multinationals: utilities, telecoms, manufacturing and facilities management companies.

As a Backend Software Engineer you’ll design and develop new features and enhancements to the core platform and APIs working with Python within an AWS environment. You’ll work across the full software development lifecycle, communicating with customers and investors alike to design robust, scalable, performance and secure implementations for new features.

Location / WFH:

You can work from home / remotely anywhere in Scotland (there will be occasional meet-ups with colleagues in the area).

About you:

• You have advanced backend Python development experience
• You have experience with PostgreSQL databases
• You are experienced with web API architecture e.g. REST APIs
• You have a good working knowledge of SaaS products with Amazon Web Services (AWS)
• You are familiar with big data and analytics, machine learning, computer vision and AI algorithms
• You’re a collaborative problem solver
• You are educated in Computer Science to BSc / MSc
• Experience with video and audio processing or video streaming would be great but not essential

What’s in it for you:

• Salary to £65k
• Remote working (in Scotland) plus flexible, family friendly working hours
• Stock ownership plan
• Private Healthcare
• Pension

Apply now to find out more about this Backend Software Engineer / Developer (Python API AWS SaaS) 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.

Location: London / Edinburgh - (Hybrid - 2 days per week in the office)
Day Rate: Market rate (Inside IR35)
Duration: 6 monthsThe Role
We are seeking a highly skilled GenAI Data Engineer to join a forward-thinking team delivering advanced data and AI solutions. This role will focus on designing scalable data platforms and integrating Generative AI capabilities into enterprise systems.Key Responsibilities

• Design, build and maintain scalable data pipelines using PySpark, Python and distributed computing frameworks
• Architect and optimise AWS-based data and AI infrastructure for secure, high-performance data processing
• Develop, fine-tune, benchmark and evaluate GenAI/LLM models, including custom training and inference optimisation
• Implement and maintain Retrieval-Augmented Generation (RAG) pipelines, vector databases and document processing workflows
• Build reusable frameworks for prompt management, evaluation and GenAI operations
• Collaborate with cross-functional teams to integrate GenAI solutions into production environments
• Ensure data quality, governance and operational reliability across systems

Essential Skills & Experience

• Strong experience with PySpark and large-scale distributed data processing (ETL/ELT pipelines)
• Advanced SQL expertise, including schema design (star/snowflake), indexing and optimisation techniques
• Proven experience implementing CDC and SCD (Type 1/2/3) in data warehousing environments
• Advanced Python skills for data engineering, automation and AI/ML integration
• Hands-on experience with AWS services (e.g. S3, Glue, Lambda, EMR, Bedrock or custom model hosting)
• Practical experience developing and evaluating GenAI/LLM models
• Strong understanding of RAG architectures, embeddings and vector databases
• Experience handling structured and unstructured data (e.g. text, documents, logs, images)
• Knowledge of scalable storage solutions such as Delta Lake, Parquet, Redshift and DynamoDB
• Experience optimising AI models (e.g. quantisation, distillation, inference tuning)
• Strong troubleshooting and performance optimisation skills across distributed systems

Desirable Skills

• Additional experience across PySpark, Python, SQL, AWS and GenAI technologies

Personal Attributes

• Strong analytical and problem-solving abilities
• Effective communication skills and ability to work collaboratively
• Experience working in agile, cross-functional environments

Salary: £250k + bonus

Summary

C++/Python Engineers wanted for a leading market maker to join their fast-paced, dynamic engineering team. This role offers the opportunity to contribute to one of the world’s most powerful trading platforms.

In this role, you will work closely with the Quant Research team to define priorities and design & create high-performance C++ components used by trading applications. Objectives include: develop, test & deploy pricing & risk-management library for OTC trading, code optimization and identify critical bottlenecks in trading.

You will work on projects from inception through to deployment, so you’ll be expected to take real ownership of the assets you are building. The successful candidate will be an outstanding communicator, confident performing in a fast-moving, ever-changing trading environment.

Skills and Experience Required

• Strong knowledge of low-level optimization
• Deep-level C++ and Python experience
• Exceptional analytical methods and quantitative skills
• Sound experience with derivatives & pricing library design
• Minimum bachelor’s degree in Computer Science, Mathematics, Statistics from a top-tier university

NB: Please don’t apply if you’re a fresh graduate.

Rewards and Incentives

• Hugely collaborative environment between teams, not siloed like other firms
• Competitive compensation: truly flat structure; feel valued for your input and be rewarded for great ideas
• Work with the latest technologies on complex problems

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

Contact
If this sounds like you, or you would like to know more, please get in touch.

Andy Stirling-Martin
andy@oxfordknight.co.uk
+44 (0)20 3137 9579
linkedin.com/in/andrew-stirling-martin-7664a946

Salary: £250k + bonus

Summary

Python Engineers wanted for a leading market maker to join their fast-paced, dynamic engineering team. This role offers the opportunity to contribute to one of the world’s most powerful trading platforms.

In this role, you will partner with business leaders to define priorities and then create next-generation custom software solutions that optimize performance and efficiency across the firm. The work will be a mix of designing, testing & deploying elegant software, analyzing complex technical problems, and continuously improve performance, functionality and stability of the platform.

The successful candidate will be an outstanding communicator, confident performing in a fast-moving, ever-changing trading environment.

Skills and Experience Required

• A core passion for technology and software development
• Deep-level Python experience
• Keen proponent of solving open-ended problems with analytical methods
• Sound knowledge of SDLC methodologies + Linux systems
• Professional experience working with distributed systems
• Minimum bachelor’s degree in Computer Science (or related field) from a top-tier university

Desirable

Experience with any of the following:

• prop trading/market making; ML techniques & statistical methods; C++, kdb & SQL

NB: Please don’t apply if you’re a fresh graduate.

Rewards and Incentives

• Hugely collaborative environment between teams, not siloed like other firms
• Competitive compensation: truly flat structure; feel valued for your input and be rewarded for great ideas
• Work with the latest technologies on complex problems

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

Contact
If this sounds like you, or you would like to know more, please get in touch.

Andy Stirling-Martin
andy@oxfordknight.co.uk
+44 (0)20 3137 9579
linkedin.com/in/andrew-stirling-martin-7664a946

We are working with a client who is a global leader in consulting, technology services, and digital transformation, committed to delivering positive change through technology and human collaboration. They are seeking an experienced Agentic AI and LLM Architect. Your role will be to provide strategic architectural leadership for adopting agentic AI and LLM capabilities across the enterprise SDLC. Define the overarching architecture and governance frameworks for incorporating advanced AI patterns such as autonomous agents, multi‑agent workflows, and enterprise‑scale LLM integrations. Serve as the primary authority for advising senior client stakeholders on the organisational, technical, and SDLC implications of adopting agentic AI and LLM‑enabled systems. Work with external AI providers to shape long‑term collaboration models around LLM hosting, agent frameworks, safety testing, versioning, and operational support. Set enterprise‑level architectural guardrails for the use of LLMs, including transparency, security, prompt governance, auditability, and alignment with responsible AI policies. Oversee architectural artefacts that describe how LLM and agentic AI components interact across multiple teams, systems, and business processes. Mentor other architects to build deep programme capability in architecting LLM and agentic solutions within structured SDLC environments. Lead governance boards and architectural review forums to ensure agentic and LLM components meet enterprise standards for quality, compliance, and risk management. Influence programme‑wide planning by identifying process, tooling, and organisational changes required to support AI adoption. Please be clear that only candidates that meet the above criteria with the right to work and that are resident in the UK will be considered. No sponsorship is available. This role will allow for remote working here in the UK, but you must be able to attend key client sites in London and Hampshire when needed. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

AI Lead Engineer Location: Croydon (once per week in-office)
Duration: 6-12 months (initial)
Security Clearance: Active SC clearance required
Must have: 5+ years of unbroken UK residency Our client, a leading organisation in innovative technology solutions, is hiring for a reputed client to support a critical AI-focused project. This is an exciting opportunity for a skilled Lead Engineer to shape the future of AI integration within complex systems. What you’ll be doing:
* Providing technical leadership to engineering teams working on AI components, ensuring alignment with architecture and delivery plans.
* Overseeing technical design decisions, particularly around Large Language Models (LLMs), agentic AI logic, and related components, ensuring scalable and controlled integration.
* Collaborating with architects to translate high-level solution designs into detailed engineering approaches.
* Working with delivery managers to identify and manage technical risks, dependencies, and constraints.
* Reviewing design artefacts, integration plans, and testing strategies to provide assurance across workstreams.
* Ensuring AI components adhere to SDLC updates, including model validation, safety checks, and governance protocols.
* Engaging with external AI technology providers to clarify technical requirements and integration considerations.
* Supporting engineering teams in resolving complex technical challenges related to AI model behaviour, data flows, and system interfaces.
* Coaching developers and data engineers to maintain quality and consistency. What you’ll bring:
* Proven experience leading engineering teams in AI or related fields.
* Strong understanding of AI components such as LLMs, AI logic, and system integration.
* Ability to translate high-level designs into detailed technical approaches.
* Experience managing technical risks and dependencies within complex projects.
* Excellent collaboration skills with architects, delivery managers, and external providers.
* Knowledge of SDLC processes, model validation, safety, and governance standards.
* Effective coaching and mentoring abilities. Nice to have:
* Experience working with external AI technology providers.
* Deep understanding of AI model behaviour, data flows, and system interfaces. This is a fantastic chance to contribute to a high-profile project within a dynamic environment. If you meet the criteria and are ready to make an impact, we’d love to hear from you

Data Architect Location: Croydon (once per week in the office)
Duration: 6-12 months initially
Clearance: Active SC clearance required
Note: Must have a minimum of 5 years of unbroken UK residency Are you passionate about shaping the future of AI and enterprise architecture? Our client, a leading organisation, is seeking a talented Data Architect to provide strategic leadership on adopting agentic AI and large language models (LLMs) across the enterprise SDLC. This is an exciting opportunity to influence cutting-edge AI integration within a dynamic environment. What you’ll be doing:
* Lead the architectural strategy for integrating autonomous agents, multi-agent workflows, and enterprise-scale LLMs.
* Define governance frameworks ensuring transparency, security, prompt governance, and responsible AI practices.
* Advise senior stakeholders on technical, organisational, and SDLC implications of agentic AI adoption.
* Collaborate with external AI providers on hosting, safety testing, versioning, and operational support models.
* Oversee architectural artefacts illustrating interactions of AI components across teams and systems.
* Mentor senior architects to develop expertise in LLM and agentic AI solutions.
* Lead governance and review forums to ensure compliance with enterprise standards.
* Influence programme planning by identifying necessary process, tooling, and organisational changes for AI adoption. What you’ll bring:
* Proven experience in enterprise architecture, especially with AI and LLM integration.
* Strong understanding of AI governance, security, and responsible AI principles.
* Ability to advise and influence senior stakeholders and external partners.
* Experience mentoring and leading architectural review boards.
* Excellent communication skills and strategic thinking. Nice to have:
* Knowledge of AI safety testing, version control, and operational support for AI systems.
* Experience working within structured SDLC environments. If you’re ready to lead innovative AI initiatives and work on transformative projects, we’d love to hear from you. Apply now to be part of this exciting journey

ENS UX & Data Integration Engineer

Location - Glasgow (Hybrid / 3 days onsite, non-negotiable)
Duration - 12-month contract

Day rate - circa £450 PAYE

We are seeking a skilled ENS UX & Data Integration Engineer to join a high-performing enterprise technology team. This role sits at the intersection of data engineering, platform integration, and user experience-supporting advanced analytics and AI-driven solutions.

Key Responsibilities

• Integrate diverse data sources into enterprise platforms such as Snowflake and Databricks
• Design scalable, high-performance data models for analytics and AI use cases
• Build and maintain robust ETL/ELT pipelines using modern tooling
• Collaborate with developers, data owners, and UX stakeholders to translate business needs into technical solutions
• Support AI/ML inference pipelines and data workflows
• Produce clear documentation covering data flows, schemas, and integration patterns
• Monitor and optimise data performance, resolving issues as needed

Required Skills & Experience

• Strong hands-on experience with Snowflake and Databricks in production environments
• Proficiency in Python and SQL
• Experience with Kafka and modern data pipeline frameworks
• Solid understanding of data modelling, big data, and analytics principles
• Familiarity with Git-based development workflows
• Experience with Power BI, Grafana, or similar tools
• Strong communication skills and ability to work across cross-functional teams

This is an excellent opportunity to contribute to enterprise-scale data platforms within a dynamic, fast-paced environment focused on innovation and continuous improvement.

If this seems like a good fit, please apply today!

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

We're working with a product‑based software company behind a market‑leading platform that's used at scale across its industry. The team has recently launched its first AI‑powered feature into production and is now investing further in AI‑driven innovation across the product. This is a key hire as AI becomes an increasingly important part of the product roadmap. Key Info: Location: Hybrid / Newcastle 2 days per week Level: Senior Type: Permanent As a Senior Software Engineer (AI / .NET), you'll play a hands‑on role in designing, building, and integrating AI‑powered functionality into a live, customer‑facing product. You'll work closely with engineers, product, and stakeholders to turn AI capability into real business value focusing on production‑ready solutions rather than proof‑of‑concepts. Key Responsibilities Design and develop high‑quality software using C# / .NET Build and integrate AI features into an existing product ecosystem Work with AI services, models, or LLMs (build, consume, or integrate) Ensure AI functionality is secure, scalable, and maintainable Collaborate on architectural decisions and technical direction Review code, mentor colleagues, and contribute to engineering best practices Take ownership of features from idea through to production releaseWhat We're Looking For Strong commercial experience as a Senior .NET / C# Developer Proven experience building or integrating AI features in production Experience working with AI/ML services, APIs, or LLM platforms Solid understanding of software design principles and clean architecture Comfortable working in a product‑led, agile environment Able to balance innovation with robustness and user impactNice to Have Experience working on customer‑facing products Exposure to data pipelines, prompt engineering, or AI optimisation Interest in shaping how AI is adopted across a wider product suiteWhy Join? Work on a well‑established product with a strong market presence Be part of the journey as AI becomes a core part of the product Join a collaborative engineering team with real influence Competitive salary, benefits, and flexible working

Remote (UK-based) Occasional travel for team collaboration
Full-time Healthcare Staffing Sector

About the Role

We re looking for a Data Engineer to design, build, and optimise scalable, secure, and high-performing data solutions that power a growing national healthcare staffing business.

This is a key, senior technical role within the data function. You ll work closely with the Lead Technology Architect to define and implement how data is structured, governed, and utilised across the organisation. You ll have real ownership and the opportunity to shape the future of data across the business.

What You ll Be Doing

Azure & Data Architecture

• Design and implement scalable data architecture across Azure services
• Optimise Azure environments for performance, scalability, and cost efficiency
• Manage governance frameworks, tagging, and cloud spend controls
• Develop Infrastructure as Code (Terraform / ARM templates)
• Maintain disaster recovery, backup, and rollback strategies

Data Pipelines & Integration

• Build and maintain robust ETL/ELT pipelines
• Orchestrate data workflows using Azure Data Factory
• Enhance Databricks (Delta Lake) medallion architecture
• Implement real-time and near real-time data processing
• Monitor pipelines with automated alerting

Data Modelling & Governance

• Design scalable data models for operational and reporting needs
• Develop dimensional and reference data models
• Maintain data documentation, lineage, and governance frameworks
• Implement audit trails and data access logging

Business Intelligence & Reporting

• Build and optimise Power BI semantic layers and data marts
• Ensure high-quality, reliable, and performant reporting data
• Implement data refresh strategies and incremental loads
• Configure secure access including Row-Level Security

Application & API Data Services

• Develop and maintain API endpoints
• Ensure consistency across CRM systems and web platforms
• Implement caching and mobile-first data strategies

Security & Compliance

• Implement secure data sharing and encryption standards
• Ensure best practice security across all data assets

What We re Looking For

Essential Skills

• Strong experience with Azure (Data Factory, Databricks, Azure SQL, Storage, Logic Apps)
• Advanced T-SQL, database design, and performance tuning
• Proven experience building data pipelines and integrations (ETL/ELT)
• Strong Power BI skills (DAX, Power Query, semantic modelling)
• Solid understanding of data security (OAuth, SAML, encryption)
• Experience with cloud cost optimisation and governance

Experience

• 5+ years in Data Engineering or similar role
• Proven delivery of scalable cloud-based data solutions
• Experience working with complex, multi-system integrations
• Experience in regulated industries (e.g. healthcare) is a plus

Desirable

• Databricks / Apache Spark
• Azure DevOps & CI/CD pipelines
• Microsoft Fabric / Synapse
• CRM integrations (e.g. Eclipse, CareLineLive)
• Power Platform (Power Apps / Automate)
• Data warehouse / lakehouse architecture

What You ll Bring

• A proactive, self-driven approach with strong ownership
• Exceptional attention to detail and documentation
• Ability to translate technical concepts into business value
• A collaborative mindset across technical and non-technical teams
• Curiosity and a drive to continuously improve systems and processes

What s in It for You

• Remote-first working with flexibility
• Opportunity to own and shape a modern data platform
• Exposure to a diverse tech stack (Azure, Databricks, Power BI, APIs)
• Work in a growing, purpose-driven healthcare organisation
• Real impact on business performance and decision-making

Apply Now

If you re a hands-on Data Engineer who wants to take ownership of a growing data function and build something meaningful, we d love to hear from you.

The Role: GenAI Data Engineer Location: London (or) Edinburgh, UK Position Type: Contract Inside IR35 Remote work option Available: Hybrid – 2 Days Onsite Job Description: Essential skills/knowledge/experience: \* Strong experience with PySpark, distributed data processing, and largescale ETL/ELT pipelines. \* Strong SQL expertise including star/snowflake schema design, indexing strategies, writing optimized queries, and implementing CDC, SCD Type 1/2/3 patterns for reliable data warehousing. \* Advanced proficiency in Python for data engineering, automation, and ML/GenAI integration. \* Hands‑on expertise with AWS services (S3, Glue, Lambda, EMR, Bedrock / custom model hosting). \* Practical experience with GenAI/LLM model creation, finetuning, benchmarking, and evaluation. \* Solid understanding of RAG architectures, embeddings, vector stores, and LLM evaluation methods. \* Experience working with structured and unstructured datasets (documents, logs, text, images). \* Familiarity with scalable data storage solutions (Delta Lake, Parquet, Redshift, DynamoDB). \* Understanding model optimization techniques (quantization, distillation, inference optimization). \* Strong capability to debug, tune, and optimize distributed systems and AI pipelines. Desirable skills/knowledge/experience: \* Pyspark, Python, SQL,AWS, GenAI

Training: Full in-house training provided by the hiring company, no experience required. About the Role: Our client, a growing company working in the AI and data space, is hiring Graduate AI Data Scientists to join their team in London. This is an entry-level opportunity suitable for recent graduates or early-career candidates looking to start a career in AI and data science, with full training provided. As a Graduate AI Data Scientist, you will work closely with cross-functional teams to support the analysis of datasets, assist in building predictive models, and contribute to delivering insights that support business decisions and AI product development. Key Responsibilities: • Assist in collecting, processing, and analyzing datasets from various sources • Support the development, training, and validation of machine learning models • Perform exploratory data analysis to identify trends, patterns, and insights • Collaborate with data engineers, machine learning engineers, and product teams • Help communicate findings and model results to both technical and non-technical stakeholders • Stay up-to-date with the latest developments in AI, machine learning, and data science Essential Skills & Qualifications: • Basic understanding of statistics, data analysis, and machine learning concepts (e.g., regression, classification, clustering) • Exposure to data preprocessing, cleaning, and feature engineering (e.g., through academic or personal projects) • Ability to work with structured and unstructured data at a foundational level • Awareness of ethical considerations in AI • Degree in Computer Science, Mathematics, Statistics, Data Science, or a related discipline — or equivalent practical experience • Good communication skills with the ability to explain concepts clearly Desirable Skills (training provided where necessary): • Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) • Basic knowledge of SQL and working with databases • Awareness of cloud platforms such as AWS, Azure, or Google Cloud • Understanding of AI ethics, data privacy, and compliance considerations • Experience with Python and data science libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib What We Offer: • Starting salary of £42,000 per annum with opportunities for growth • Comprehensive full in-house training program provided by the hiring company • Exposure to real-world AI projects and practical applications • Supportive and collaborative working environment • Flexible work options, with office locations in London • Clear career development paths with ongoing mentorship and support How to Apply: If you’re ready to start your career in AI and data science with full training and support, we’d love to hear from you. Please submit your CV and a cover letter explaining your interest and any relevant academic or project experience

Position: GenAI Data Engineer Location: London or Edinburgh (Hybrid-2 days a week from office) 6 months contract position Your responsibilities: \* Design and maintain scalable data pipelines using PySpark, Python, and distributed computing frameworks to support high‑volume data processing. \* Architect and optimize AWS-based data and AI infrastructure, ensuring secure, performant, and cost‑efficient ingestion, transformation, and storage. \* Develop, finetune, benchmark, and evaluate GenAI/LLM models, including custom training and inference optimization. \* Implement and maintain RAG pipelines, vector databases, and document-processing workflows for enterprise GenAI applications. \* Build reusable frameworks for prompt management, evaluation, and GenAI operations. \* Collaborate with cross-functional teams to integrate GenAI capabilities into production systems and ensure high-quality data, governance, and operational reliability Your Profile Essential skills/knowledge/experience: \* Strong experience with PySpark, distributed data processing, and largescale ETL/ELT pipelines. \* Strong SQL expertise including star/snowflake schema design, indexing strategies, writing optimized queries, and implementing CDC, SCD Type 1/2/3 patterns for reliable data warehousing. \* Advanced proficiency in Python for data engineering, automation, and ML/GenAI integration. \* Hands on expertise with AWS services (S3, Glue, Lambda, EMR, Bedrock / custom model hosting). \* Practical experience with Gen AI/LLM model creation, finetuning, benchmarking, and evaluation. \* Solid understanding of RAG architectures, embeddings, vector stores, and LLM evaluation methods. \* Experience working with structured and unstructured datasets (documents, logs, text, images). \* Familiarity with scalable data storage solutions (Delta Lake, Parquet, Redshift, DynamoDB). \* Understanding model optimization techniques (quantization, distillation, inference optimization). \* Strong capability to debug, tune, and optimize distributed systems and AI pipelines. \* Desirable skills/knowledge/experience: (As applicable) \* Pyspark, Python, SQL, AWS, Gen AI

• Permanent
• Hybrid in Central London
• Competitive Salary

Key Responsibilities

Strategic & Architectural Leadership

• Define and own the technical vision and architecture for AI solutions across the organization
• Evaluate, select, and standardize AI technologies, frameworks, and third-party services
• Lead technical design reviews and make critical architectural decisions for complex AI initiatives
• Drive technical strategy for responsible AI, model governance, and production ML operations
• Partner with senior leadership (CTO, VPs, Directors) to translate business objectives into technical AI roadmaps
• Influence product and engineering strategy through technical insights and feasibility assessments

Technical Expertise & Execution

• Act as the go-to technical expert for complex AI challenges across engineering teams
• Lead proof-of-concepts for emerging AI technologies and assess their production viability
• Build and deliver production-ready AI and Generative AI solutions using LLMs, RAG architectures, agents, and responsible AI practices
• Implement and maintain retrieval pipelines using embeddings, vector databases, hybrid search methods, and effective chunking strategies
• Use AI coding assistants such as Cursor, GitHub Copilot, and Claude Code to accelerate development while maintaining ownership of outcomes and documenting best practices

Standards & Enablement

• Establish and enforce engineering best practices, coding standards, and quality benchmarks for AI development
• Improve internal AI development tooling, including shared libraries, SDKs, and reference implementations for RAG, tracing, prompt management, and evaluation
• Mentor engineers across all levels, conduct code reviews, and elevate engineering standards across the organization (upgraded from “mentor peers”)
• Lead internal enablement and capability-building activities across the organization (upgraded from “contribute to”)

Cross-functional Collaboration

• Collaborate closely with Product using a working-backwards approach, producing technical designs, breaking down work, and delivering iteratively
• Partner with Security, Legal, and Data teams to define AI policies, review risks, and ensure privacy, PII protection, and regulatory compliance

Skills, Knowledge and Expertise

Must Have:

• 7+ years of software engineering experience with 3+ years focused on production Generative AI and RAG systems
• Demonstrated experience architecting and scaling complex AI systems in production environments
• Proven track record of technical decision-making and architectural leadership with measurable business impact
• Deep technical expertise in LLMs, RAG, agentic workflows, prompt engineering, embeddings, vector databases, and hybrid search techniques
• Hands-on experience with leading LLM providers (Anthropic Claude, OpenAI), including model selection, evaluation, and optimization
• Expert-level Python development skills and fluency with AI coding assistants (Cursor, GitHub Copilot, Claude)
• Production experience with AWS cloud services and container orchestration (Kubernetes), including infrastructure design for ML workloads
• Strong technical communication skills with ability to influence senior stakeholders and drive consensus across teams
• Strong data engineering capabilities, including dataset creation, ETL development, and metrics definition (moved from Nice to Have)
• Solid understanding of ML fundamentals, experimentation methodologies, and model performance optimization (moved from Nice to Have)

Nice to Have

• Experience with model fine-tuning, RLHF, or custom training approaches
• Familiarity with MLOps platforms and experiment tracking tools
• Experience with infrastructure as code (Terraform, CloudFormation)
• Background in NLP research or open-source AI/ML contributions

Location: Office based, Whiteley PO15 7AF
Salary: Competitive, depending on experience
Contract: Full Time, Permanent
Benefits: 27 days holiday (increasing 1 day each year), Flexible working hours, Share options, Company pension, Cycle to Work Scheme, Private Dental care

About the company:

iFAST Diagnostics is a medical device company that has developed a game-changing, rapid antimicrobial susceptibility test, that will enable the right antibiotic treatment for all patients with bacterial infections.

Currently, these tests take 48-72 hours, but iFAST’s tests are 10x faster giving full quantitative and qualitative results in under 3 hours from a positive blood culture or bacterial isolate.

Job Role:

We are seeking a Software Engineer or Computer Scientist to join our team as we roll out our instruments in the UK, having just received our UKCA approval for the first product.

You will design, implement and test a variety of software including middleware, firmware and algorithm development which are integral to our novel medical diagnostic product

Responsibilities:

• Development of software for our current and future instruments, including algorithm development, processing code and middleware.
• Writing code and algorithms in accordance with good Software practise Experience of relevant standards and medical device regulations would be beneficial (e.g. ISO 13485, ISO 9001 ISO 14971 and IEC 62304.)
• Development of test plans and procedures, conducting and accurately documenting the tests at unit, sub-system and system level.
• Working closely with internal and external stakeholders e.g. production, service, sales teams and suppliers.

Knowledge, Skills & Experience:

• Have experience of software development for medical devices or similar within an ISO regulated environment and be able to work to associated regulations such as IEC 62304.
• Be able to work efficiently with source code management tools.
• Be familiar with IEC 62304 compliant software development processes and standards to produce well documented, maintainable, and test-driven code.
• Understand machine learning concepts and be able to choose appropriate techniques for a given task and dataset, including supervised learning.
• Have a strong mathematical and statistical background and be able to apply this to algorithm development.
• Have experience of writing software for controlling electromechanical equipment, ideally in C/C++, Python, MATLAB or PLC code.
• Hold a (first or 2:1) degree in a relevant discipline.
• Need to be able to work under minimal supervision with a flexible attitude and be capable of solving problems and working to an agreed timescale to deliver on your projects.

If you feel you have the necessary skills and experience to be successful in this role, click on APPLY today, forwarding an up-to-date copy of your CV for consideration in the first instance.

No agencies please.

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.

Building innovative, robust software harness AI for the aviation sector

London / Mostly Remote; £40k - £100k DoE

This London based startup is tackling tough challenges in the aviation sector through innovative software solutions. They have sector expertise through their founders, and with venture investment already secured, they are growing their team and are looking for top rated software developer contributors to join their team.

As their latest team member, you ll contribute to the build and scaling of mission-critical products, supporting complex, real-world operational workflows. You ll collaborate with product and operational stakeholders, and understand the importance of a distributed and federated architecture.

Requirements:

• You re smart, demonstrated through academic excellence (likely top grades at A-level / IB and a 1st class STEM degree from a top 10 ranked UK university).
• You are not just interested in software development, you ve been programming in different languages for fun (likely since a child), and can evidence substantial projects and code.
• For recent graduates, you have relevant software internship experience and interesting projects to discuss. For experienced applicants, you have worked on sophisticated software that has shipped that is mission-critical, uses modern software methodologies and you are able to delve into the depths of it to describe its characteristics.
• Strong software engineering skills and aptitude to pick up new languages. The company s tech stack is Rust, Flutter / Dart, and Postgres experience with these is highly beneficial. Additionally, any exposure with gRPC, Arrow, Prometheus, Grafana, or Docker would be desirable.

As the sector is in aviation, any personal interest in this evidenced through flying lessons, flight simulators etc would be nice.

Offices are based in London (Hammersmith area) although this is a remote-first company. Expectations are that you minimally will be in the office a few days per month, with at least one week per quarter in the office.

Candidates must have full, unrestricted rights to work in the UK. No sponsorship is available.

Another top job from ECM, the high-tech recruitment experts.

Even if this job’s not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV.

Please apply (quoting ref: CV27633) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

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.