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

TPBN1_UKTJ

Software Engineer – Python / RF Algorithms
Cambridge | Permanent | Full Time

We’re recruiting a Software Engineer for a venture-backed RF semiconductor company in Cambridge building advanced RF hardware for connected devices.

This is not a generic backend role.

You’ll be working at the intersection of algorithms, software, and RF hardware — turning mathematical models and optimisation concepts into production-grade software that runs against real systems.

The Role You will:

Design and build Python software that implements RF measurement and optimisation algorithms.
Translate algorithm specs and mathematical models into clean, maintainable code.
Work closely with RF and systems engineers to ensure software reflects real-world hardware behaviour.
Integrate and validate algorithms on hardware prototypes and production platforms.
Develop unit tests, validation frameworks and regression tools.
Troubleshoot performance issues across software and hardware boundaries.
Apply proper engineering discipline: modular design, version control, documentation.This role requires someone who can move from experimentation to robust, production-ready software — not just proof-of-concept scripts.

What They’re Looking For
Strong Python development experience (structuring and implementing algorithms properly).
Proven ability to translate maths, models or system requirements into working software.
Experience implementing optimisation methods or data-driven algorithms in hardware-adjacent environments.
Strong analytical and problem-solving ability.
Degree in Software Engineering, Electrical Engineering or similar.Strong Advantage
Understanding of RF measurements and test procedures.
Experience interfacing with lab equipment or measurement systems.
Exposure to wireless systems, RF modules or telecoms.
Real-time processing experience.Environment Engineering-led. Fast-moving. High ownership.

You’ll work directly with RF and hardware teams — this isn’t a siloed software function.

If you need heavily defined requirements and long release cycles, this isn’t the place. If you like solving hard technical problems with real hardware impact, it is.

Package Competitive salary + pension + share options.
Private medical, life assurance, income protection.
25 days holiday + bank holidays.
Flexible working options

Senior Software Developer required by a successful software company developing enterprise web application products for the medical sector.

C# is the primary programming language used in the team. They utilise a language extension library to facilitate functional programming with C#.

Any knowledge with F#, Haskell, Scala or similar functional language is imperative for any application - even if this is via personal projects, It doesn’t need to be commercial experience.

The company has a fully remote working policy with no requirement to visit an office.

Essential experience:

• Functional programming experience or a vested interest in functional programming even in personal projects
• C#
• Knowledge of one or more functional programming languages eg Scala, Haskell, F#
• SQL

Experience in any of the following areas would be advantageous

• Functional programming in C#
• Language-ext
• Domain driven design
• Property-based testing
• Domain specific languages
• TypeScript
• Healthcare or medical industry experience

If you are seeking a role of this nature, please get in touch for more information.

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

Do you have a strong background in software development? Becoming part of a growing community of data and digital professionals and champion excellence in AI data, and digital and help grow data & digital skills across HM Treasury? If so we would love to hear from you! About the Team The Chief Secretary of the Treasury (CST) has outlined the government's ambition to rewire the state – see Institute for Government speech. Central to this vision is more collaboration and transparency between departments and the centre of government on spending, requiring a greater level of sharing and harmonising of key data sets (Finance, Outcome & Performance data). To meet the spending challenges of the future, HM Treasury is committed to developing an integrated data solution which will enable a single version of the truth which provides real-time, standardised data on finance, outcomes and performance. This will allow for greater autonomy for departments, more open conversations between departments and HMT and more effective, data-driven decision making, ultimately leading to better outcomes for the public. The Finance and Performance Data Integration Service (FPDIS) is a key part of the Government’s ambition to rewire the state. The new compact between department and the centre requires more and better data, and this programme is the means by which the Treasury will get that data. The team is building and every role will bring vital perspectives and insight to the programme. We are currently developing our approach, business case and early thinking about what the future could look like. You would be joining us at the start of an exciting journey. About the Job The key responsibilities of the post holders will be: Technical Leadership · Lead the end-to-end technical design, development, and implementation of AI solutions. This would involve development and maintenance of analytic products in our preferred tech stack (Python, Plotly Dash and Azure) and experimentation with and use of other applications. · Provide technical guidance and mentoring to data engineers, analysts and non-technical staff working on the broader FPDIS programme. · Document AI architectures, models, and agent behaviours to ensure transparency, governance, and continuous improvement. Solution Design & Delivery · Lead technical delivery of an experimental Agile project to extract finance and performance data from PDFs and other documents. · Identify opportunities to apply AI to optimise public spending business processes, improve user experiences and deliver public value. · Integrate AI capabilities with enterprise platforms and services, including low-code environments, APIs, and data pipelines, and cloud-based data integration platforms. Technology Evaluation · Assess and select appropriate AI models, platforms, and tools (e.g. OpenAI, Copilot Studio). · Stay current with emerging AI technologies, particularly developments in agent-based systems, and evaluate their applicability to FPDIS. Collaboration & Partner Engagement · Work closely with partners to translate business needs into AI-enabled solutions, incorporating agent-based architectures where appropriate. · Support the training and upskilling of HMT staff in AI literacy, responsible use of intelligent systems, and adoption of AI-enabled tools. Governance & Compliance · Ensure all AI solutions are ethical, secure, and aligned with HMT’s strategic objectives and regulatory obligations, and wider DSIT guidance. About You · Technical leadership of applied AI projects · Designing of AI solution to a business problem. · Technical Application of LLMs in a Digital Product. · Working as a team Some of the Benefits our people love! · 25 days annual leave (rising to 30 after 5 years), plus 8 public holidays and the King’s birthday (unless you have a legacy arrangement as an existing Civil Servant). Additionally, we operate flexitime systems, allowing employees to take up to an additional 2 days off each month · Flexible working patterns (part-time, job-share, condensed hours) · Generous parental and adoption leave packages · Access to a generous Defined Benefit pension scheme with employer contributions of 28.97% · Access to a cycle-to-work salary sacrifice scheme and season ticket advances · A range of active staff networks, based around interests (e.g. analysts, music society, sports and social club) and diversity For more information about the role and how to apply, please follow the apply link. If you need any reasonable adjustments to take part in the selection process, please tell us about this in your online application form, or speak to the recruitment team.

Trainee AI Engineer - No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? Their AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Candidates earn £28,000-£45,000. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Projecti Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. They Get You Hired They 're not new to this. The company has 15+ years of experience and has placed over 5,000 people into new roles. Their job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. They don't believe in empty promises. Complete their programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, they'll help you turn that into a career you can be proud of. Apply now, and one of thier expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

AI Engineer Placement Programme- No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? Their AI Placement Programme is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Candidates earn £28,000-£45,000. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. They Get You Hired They 're not new to this. The company has 15+ years of experience and has placed over 5,000 people into new roles. Their job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. They don't believe in empty promises. Complete their programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, they'll help you turn that into a career you can be proud of. Apply now, and one of thier expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

AWS Architect (£800-£900 per day - 12 month contract) We're partnering with a leading global organisation in the financial data space to find a hands-on AWS Architect. This is a high-impact role focused on building a cutting-edge, cloud-native research environment for advanced analytics, quantitative research, and AI-driven innovation. If you thrive at the intersection of cloud architecture, data science platforms, and AI services, this is an opportunity to shape a next-generation research ecosystem used by top-tier data scientists and researchers. The Role As the AWS Architect, you will lead the end-to-end design and delivery of a scalable, secure, and highly connected research platform on AWS. This environment will empower teams to work with large, complex datasets and accelerate experimentation and insights. Key Responsibilities \* Architect and deliver a cloud-native research platform on AWS \* Design environments supporting Jupyter Notebooks and Amazon SageMaker \* Integrate Amazon Bedrock and emerging AI services to enhance research workflows \* Build scalable data access and connectivity frameworks for structured and unstructured datasets \* Develop Model Context Protocol (MCP) services to enable seamless data and notebook integration \* Implement semantic search and discovery capabilities (e.g. OpenSearch) \* Define best practices across architecture, security, and scalability \* Collaborate closely with engineering, data, and research stakeholders What We're Looking For \* Deep, hands-on AWS expertise (architect-level with strong delivery experience) \* Proven track record building data science platforms or research environments \* Strong grounding in data engineering principles (pipelines, governance, data access) \* Experience integrating AI/ML services, including Amazon Bedrock \* Ability to design and expose APIs/services for data and notebook interoperability \* Experience working in enterprise or regulated environments Nice to Have \* Exposure to emerging AWS AI tools (e.g. Amazon Q, Trainium, Bedrock Agents) \* Experience with agentic AI or MCP-compatible services \* Knowledge of OpenSearch or similar discovery tools \* Background in financial services, capital markets, or data-heavy industries Why Apply? \* Work on a greenfield, high-impact platform \* Collaborate with leading data scientists and researchers \* Shape the future of AI-enabled research environments \* Competitive compensation and flexible working

Experience

12+ years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, and Enterprise Analytics solutions, with strong expertise in modern cloud data architectures.

Job Summary

We are seeking an experienced Data Architect with strong expertise in Snowflake on Amazon Web Services and DBT to design, architect, and optimize scalable enterprise data platforms.

The role involves defining data platform architecture, governance standards, and scalable data transformation frameworks, while ensuring high performance, security, and cost efficiency. The architect will provide technical leadership to data engineering and analytics teams and ensure the platform supports enterprise reporting, advanced analytics, and AI/ML initiatives.

The ideal candidate should also have exposure to AI/ML data platforms and experience in the hospitality domain, supporting systems such as reservations, guest management, and operational analytics.

Key Responsibilities

• Define and lead the architecture and design of enterprise data platforms using Snowflake on AWS.
• Architect scalable data ingestion frameworks for integrating multiple source systems into the cloud data platform.
• Design and govern data transformation frameworks using DBT.
• Define and enforce data modelling standards including dimensional modelling, star schema, and enterprise data models.
• Lead architecture reviews and solution design discussions for new data initiatives.
• Optimize Snowflake performance, workload management, and cost governance.
• Establish data governance frameworks including access control, data security, and compliance standards.
• Design and support AI/ML-ready data architecture for advanced analytics and predictive modelling.
• Provide architectural guidance to data engineering, BI, and analytics teams.
• Design architecture to support data consumption for reporting systems, operational applications, and analytics platforms.
• Implement automation, orchestration, and scalable pipeline frameworks using tools such as Apache Airflow.
• Collaborate with business stakeholders and technical teams to align the data platform with enterprise data strategy.
• Support hospitality analytics use cases, including guest behaviour analysis, booking trends, revenue analytics, and operational reporting.

Required Technical Skills

Data Platform

• Strong expertise in
• Snowflake
• Deep knowledge of Snowflake architecture, performance tuning, data sharing, security, and workload optimization.

Cloud Platform

Strong experience with Amazon Web Services, including:

• S3
• IAM
• AWS Glue
• Lambda
• CloudWatch

Data Transformation

• Strong experience with
• DBT
• for enterprise-scale data modelling, testing, and transformation pipelines.

Programming / Query

• Strong expertise in SQL for data transformation and performance optimization
• Python (preferred) for automation and data engineering tasks.

Data Engineering

• Enterprise ETL / ELT pipeline architecture
• Data warehousing and enterprise data modelling
• Dimensional modelling (Star Schema, Snowflake Schema)
• Data pipeline scalability and reliability design.

AI / Data Science Exposure

• Experience supporting AI/ML data pipelines and data preparation for machine learning models.
• Understanding of predictive analytics, recommendation engines, and customer behaviour analytics.
• Ability to design AI-ready data platforms for future analytics use cases.

Preferred Skills

• Experience with Apache Airflow for pipeline orchestration.
• Knowledge of CI/CD pipelines, DevOps, and Git-based development workflows.
• Experience with data governance, metadata management, and enterprise data catalog tools.
• Experience with BI tools such as
• Tableau
• Microsoft Power BI.
• Domain experience in hospitality, travel, or hotel systems, including reservation systems, guest analytics, and operational reporting.

Education

Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, Data Science, or a related field.

Engineering Manager (Artificial Intelligence) - OchoX Exclusive

At a Glance

• Driving AI adoption across Test Engineering
• Hands-on development background required
• Fully Remote working (UK / ROI)
• Competitive salary up to £110k plus bonus

Company Overview

Our client is a global technology organisation supporting a wide portfolio of enterprise software partners.

Following a major transformation, the business is now investing heavily in AI-augmented engineering, with a particular focus on modernising Test Engineering.

The goal is simple: build faster, release safer, and significantly improve engineering efficiency through intelligent automation.

Role Overview

This is a high-impact Engineering Manager role focused on evolving how testing is approached across the organisation.

You’ll lead a team of QA Engineers while redefining testing strategy through AI, automation, and modern engineering practices.

This isn’t about maintaining test frameworks, it’s about rethinking quality engineering from the ground up.

Key Responsibilities

• Focus on outcomes: faster delivery, better quality, less friction
• Define and execute a modern Test Engineering strategy aligned with AI-first principles Introduce AI-driven testing approaches
• Improve test automation frameworks for scalability, maintainability, and speed
• Leverage AI tools to reduce regression effort and improve defect detection
• Enhance CI/CD pipelines to support high-confidence, high-frequency releases

Essential Skills & Experience

• Experience in an Engineering Leadership role
• Background in Software engineering (any language)
• Understanding of how AI can enhance test engineering and software quality
• Experience using AI tools to support automation or development workflows
• Strong communication skills

Why Apply?

• Competitive salary up to £110k plus bonus
• Fully remote working (UK / ROI)
• High trust environment with real ownership and influence
• Strong focus on engineering excellence and professional growth

For more information on this opportunity, connect with Neill Ferguson on LinkedIn or submit your CV via the link below.

Skills:
engineering manager lead AI QA Test

Benefits:
Work From Home

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.

Remote (UK-based) Contract - Outside IR35
Telecommunications

We’re currently supporting a client in hiring a SIEM Content Developer to strengthen their cyber security detection capabilities. This is a fully remote contract role, operating outside IR35.

The Role

You’ll be responsible for developing and enhancing detection capabilities within the Elastic Stack, helping to improve visibility of security threats and optimise incident response.

Key responsibilities include:

• Designing, building, and tuning SIEM detection rules and correlation logic
• Developing and maintaining dashboards and reporting in Elastic
• Creating automation scripts and workflows to support faster response
• Translating threat intelligence using frameworks such as MITRE ATT&CK into actionable detections
• Working closely with SOC teams to reduce false positives and improve detection quality
• Supporting log ingestion, parsing, and overall SIEM performance

Requirements

• 2-5+ years’ experience in SIEM content development, detection engineering, or SOC (Level 2/3)
• Strong experience with SIEM tools, ideally Elastic Stack (or Splunk, Sentinel, QRadar, ArcSight)
• Solid understanding of Windows/Linux systems and TCP/IP networking
• Experience working with cloud platforms (Azure, AWS, O365)
• Scripting skills in Python, PowerShell, or Bash
• Familiarity with MITRE ATT&CK and modern threat detection techniques

What’s on Offer

• Fully remote working
• Outside IR35 contract
• Opportunity to work with a large-scale telecoms environment

ECS Recruitment Group Ltd is acting as an Employment Business in relation to this vacancy.

Lynx Recruitment are looking for an experienced Solution Architect to design and deliver modern, cloud-first digital services that support large-scale public sector transformation.

This role is ideal for a Cloud or Solution Architect looking to expand into AI-led architecture, with greater exposure to data platforms, automation, and AI-driven capabilities. You will shape secure, scalable and user-focused solutions, working within multidisciplinary teams to translate business needs into pragmatic, sustainable technical architectures.

Key Responsibilities

• Design end-to-end cloud-native architectures across applications, data, integration, and platforms.
• Translate business requirements into clear technical designs and architectural decisions.
• Ensure solutions meet scalability, security, resilience, and performance requirements.
• Support the integration of AI and automation capabilities into enterprise systems.
• Collaborate with delivery teams including engineers, analysts, and AI specialists.
• Provide architectural governance and oversight through build and live service stages.

Skills & Experience

• Proven experience as a Solution or Cloud Architect delivering services on AWS, Azure or similar platforms.
• Strong understanding of modern architecture patterns including APIs, integrations, and data platforms.
• Experience working in public sector or regulated environments is beneficial.
• Interest or experience in AI, automation, or data-driven architectures.
• Strong stakeholder communication and architectural decision-making skills.
• Familiarity with architecture frameworks such as TOGAF.

Education:

• Degree in IT, Computer Science, or related technology discipline with a minimum 2:1 (or equivalent).

Please note: Eligibility to obtain UK Security Clearance is required.

Role Overview

We are seeking a mid-level Developer specializing in Microsoft Copilot Studio to join a high-priority project for a period of 3 to 6 months. You will be responsible for designing, building, and deploying intelligent conversational agents and ‘agentic’ workflows within a secure enterprise environment.

The ideal candidate will have a strong foundation in the Power Platform and a proven track record of delivering generative AI solutions that integrate seamlessly with enterprise data and third-party APIs.

Key Responsibilities

• Agent Development: Design and configure complex conversational topics, trigger phrases, and multi-turn logic within Copilot Studio.
• Integration: Use Power Automate to connect Copilot agents to back-end systems (SharePoint, Dataverse, SQL, and REST APIs).
• GenAI Configuration: Implement and fine-tune Generative AI features, including ‘boosted conversations’ and knowledge-base grounding (RAG).
• Governance & Security: Ensure all solutions adhere to strict SC-cleared environment protocols, focusing on data residency and responsible AI principles.
• Stakeholder Collaboration: Work with business analysts to translate user requirements into technical AI ‘Skills’ and autonomous agent behaviors.
• Testing & Optimization: Monitor agent performance, refine prompts for accuracy, and troubleshoot integration bottlenecks.

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

About The Role
This is a brand-new role with a big remit and even bigger opportunity.
As our AI, Automation and Integration Engineer, youll be at the forefront of how Salvation Army Homes uses technology to work smarter, faster and more effectively. This isnt about maintaining the status quo - its about designing the future.
Youll lead the charge on automation, system integration and the responsible adoption of AI, helping us move towards streamlined processes, joined-up data, and genuinely intelligent digital services. From low-code automation and cloud integration to exploring practical AI use cases, youll have the space and backing to experiment, innovate and deliver real impact.
Working within our Digital, Data and ICT team, youll collaborate closely with colleagues across the organisation to turn ideas into working solutions. Youll help create a single version of the truth across our systems, reduce duplication and manual effort, and enable better decision-making through clean, connected data.
Because this role is new, youll play a key part in shaping how it operates - setting standards, defining approaches, and influencing how we use emerging technologies across the organisation. If youre excited by greenfield work, modern platforms and meaningful outcomes, this is a rare chance to make a role your own.

About The Candidate
Youre a hands-on technologist with a strong track record of delivering automation, integration and modern digital solutions in real-world environments - and youre ready to step into a role where you can shape both the technology and the approach.
Youll bring proven experience of designing and delivering process automation, ideally using the Microsoft Power Platform (Power Automate, Power Apps and Power BI), alongside experience building and supporting integrations between business-critical systems. Youre comfortable working across data, workflows and APIs to reduce manual effort and create seamless, joined-up services.
Youll have a strong technical foundation, including:

• Experience working with cloud platforms, particularly Microsoft Azure
• Solid SQL Server and database skills
• Experience developing solutions using modern development languages and tools
• A good understanding of data integration, data quality and governance principles

You dont just build solutions - you think about how theyre used, governed and scaled. You understand the importance of security, compliance and responsible data use, and you can balance innovation with control. Experience working in complex or multi-system environments is important, as is the ability to document, standardise and improve what you deliver.
Youre also excited by whats next. You may already have experience applying AI concepts in a business context, or you may be keen to develop this further - but either way, youre motivated to explore how AI and emerging technologies can be applied practically, ethically and at scale to improve services and decision-making.
Just as importantly, youre a strong collaborator and communicator. You can translate complex technical ideas into plain English, influence stakeholders at all levels, and work closely with analysts, data specialists and business teams to turn ideas into delivered outcomes. Youre organised, proactive, and comfortable managing multiple priorities in a fast-moving, evolving environment.
Above all, youre motivated by the opportunity to build something new, take ownership of a greenfield role, and play a leading part in an organisations journey towards automation, integration and AI-enabled services - while staying aligned with strong values and a clear social purpose.
The benefits on offer
In return for helping to transform lives, well give you access to some great benefits. These include:

• 26 days annual leave rising to 31 days
• An extra day off on your birthday
• A High Street discount scheme (great savings both on and off-line)
• Pension with life assurance
• Discounted private medical insurance
• Loans available for financial emergencies
• Occupational Sick Pay
• A full Induction package and training relevant to the role
• Support to learn and develop your career

About The Company
A registered social landlord andone of the leading providers of supported housing in the UK, Salvation Army Homes is dedicated to transforming lives by providing accommodation and support for some of the most vulnerable members of society - mainly people with complex needs and/or experiencing homelessness.
Our aim is to work with individuals to build on their strengths, creating person centred, individualised strategies and plans that transform lives, support recovery and enable positive behaviour. In order to succeed, however, we need the right people in place. Our workforce is one of our greatest assets, but only by recruiting the very best can we continue to deliver comprehensive, good quality housing services, support and resettlement. services to our residents. Thats where you come in.
As an equal opportunities employer, Salvation Army Homes is committed to the equal treatment of all current and prospective employees and does not condone discrimination on the basis of age, disability, sex, sexual orientation, pregnancy and maternity, race or ethnicity, religion or belief, gender identity, or marriage and civil partnership. We invite and welcome applications to apply for Salvation Army Homes opportunities without concern of bias or discrimination.
We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.

Description:

Consumer Digital enables the public to access client forecasts and observation data through various channels, such as its website and mobile apps. Understand the important weather data for web-scale platforms and make available the latest science and data through common capability APIs that are robust and well architected.

A developer delivers software components that form part of a product.

At this role level, you will:

• Develop software to meet user needs
• Follow best practice guidelines and help to improve those guidelines
• Write clean, secure and well-tested code
• Coach and mentor more junior colleagues
• Operate the services you build and identify issues in production

Essential and desirable criteria are as follows:

• Strong analytical and problem-solving skills (Experts by nature)
• Proven ability to design, implement, and delivering quality and efficient software using Amazon Web Services to deliver data via APIs (We keep evolving)
• Good communication skills that adapt to all level of stakeholders (We’re better together)
• Self-motivated with the ability to prioritise, meet deadlines, and lead development activities
• Demonstrable skills in Python software development
• Demonstrable skills in AWS CDK
• Experience of source control systems such as Git
• Experience of AGILE approach to software development following GDS principles
• Experience of using AI / Prompt engineering to aid development
• Experience of scientific data formats such as NetCDF, BUFR, GRIB

We’re looking for a Machine Learning Engineer to design, build, and deploy data-driven models that solve complex problems and enhance real-world performance. You’ll work across the full ML life cycle, collaborating with data, engineering, and product teams to turn ideas into robust, scalable solutions.

Responsibilities:

• Develop, train, and optimise machine learning models to support business and technical objectives.
• Build and maintain data pipelines, ensuring high-quality, reliable data for model development.
• Deploy ML models into production environments and monitor their ongoing performance.
• Work closely with engineers and analysts to integrate models into wider systems and applications.
• Evaluate model accuracy, stability, and scalability, implementing improvements where needed.
• Contribute to experimentation, research, and continuous improvement across ML workflows.
• Document processes, methodologies, and model behaviour for technical and non-technical audiences.

Reasonable Adjustments:

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

Remote or Hybrid Salary: Negotiable Contract / Permanent

Introduction

Acorn by Synergie, on behalf of a fast-growing tech services business based in Crewe, is looking for a talented AI Agent Maker to join their intelligent automation team. This role is ideal for someone passionate about building smart systems using no-code/low-code tools and embedding AI into real business processes. Flexible remote or hybrid working is offered.

Key Duties:

• Design and build AI agents using no-code/low-code platforms such as n8n, Zapier, Make, and LangChain UI.
• Create automated workflows connecting apps, APIs, and data sources to drive decision-making.
• Use prompt engineering to design intelligent, LLM-powered behaviours.
• Prototype, deploy, and optimise autonomous systems.
• Collaborate with developers and engineers when needed, leading the build process.
• Document, test, and improve AI agents and automation workflows.

Requirements:

• Confidence using no-code/low-code tools (n8n, Zapier, Make, Airtable, etc.).
• Understanding of AI agents, LLMs, and intelligent automation.
• Experience creating multi-step, cross-platform automations.
• Familiarity with APIs, webhooks, and integration logic.
• Strong problem-solving skills, attention to detail, and creativity.

Desirable (Not Essential):

• Knowledge of LangChain (UI), AutoGen Studio, or ChatGPT APIs.
• Experience in AI ops, workflow automation, or digital transformation.
• UI/UX awareness for designing intuitive agent flows.

What We Offer:

• Flexible working: remote-first, with hybrid options.
• Access to cutting-edge AI tools and training.
• Collaborative, creative culture with focus on innovation.
• Salary negotiable to secure the right candidate.

Interested?

Apply now to join a team shaping the future of AI-driven automation and take ownership of creating intelligent workflows that make a real impact.

Acorn by Synergie acts as an employment agency for permanent recruitment.

Permanent - Excellent Salary + Benefits
Remote - UK-based

Clarity is working with a high-growth SaaS business seeking a Lead Technical Architect to take ownership of the architecture of a global, multi-tenant platform, combining cloud-native SaaS, Real Time communications, CRM integration ( Salesforce ), and emerging AI capabilities.

This is a senior, high-impact role where you will act as the technical authority across engineering, shaping long-term platform evolution, raising engineering standards, and driving how AI is Embedded into production systems.

This is not a pure DevOps or hands-on coding role - it is a leadership-first architecture role with real ownership.

You MUST have:

• Proven experience designing multi-tenant SaaS platforms at scale
• Strong AWS architecture experience (multi-region, production systems)
• Experience working on complex distributed systems (ideally Real Time/telecoms)

If not, your application will not be progressed.

TECH STACK & ARCHITECTURE ENVIRONMENT

Cloud & Infrastructure

• AWS (core platform) Multi-region architecture; Scalable, highly available infrastructure

Platform Architecture

• Multi-tenant SaaS platform (global scale)
• Distributed systems/service-based architecture
• Backend services interacting across: Application layer; Data systems; Cloud infrastructure

Data & AI Layer

• AI-enabled platform (growing capability); AI/ML integration patterns

Integration Layer

• Salesforce (core CRM integration); API-driven integrations across platform services
• External system interoperability

Real Time Systems

• Telecoms/Real Time communications infrastructure requiring: Low latency; High concurrency/reliability

Engineering & DevOps Practices

• CI/CD pipelines (DevOps-led, collaborative environment)
• Monitoring, logging, incident response
• Strong focus on: System design clarity; Documentation; Architectural governance

KEY SKILLS

• SaaS architecture (multi-tenant, distributed systems)
• Deep AWS architecture experience (production, multi-region)
• System design across Back End services, data, and integrations
• Real Time systems/telecoms architecture (highly desirable)
• Salesforce/CRM integration at architectural level
• AI/ML architecture (integration, pipelines, platform design)
• Observability, monitoring, resilience engineering
• Architectural governance and decision frameworks
• Strong documentation and system design communication

EXPERIENCE REQUIRED

• 8+ years software engineering (Back End/platform focus)
• Proven experience architecting large-scale SaaS platforms
• Strong AWS experience in production environments
• Experience leading architecture across multiple teams
• Track record of: Improving platform scalability and resilience; Reducing technical debt; Establishing architectural clarity and governance
• Experience with AI-enabled platforms or products
• Experience with Real Time communications/telecoms systems
• Experience in product-led SaaS environments

ROLE RESPONSIBILITIES

• Own and drive the architectural direction of a global SaaS platform
• Define service interactions across cloud, Back End, data, CRM, and Real Time systems
• Lead architecture reviews and guide engineering decisions
• Act as escalation point for complex cross-platform challenges
• Establish architecture governance, documentation, and standards
• Improve resilience, observability, and operational maturity
• Lead evolution of AI capabilities across the platform
• Mentor engineers and elevate technical capability across teams

PERSONAL ATTRIBUTES

• Proactive, ownership-driven mindset
• Strong technical judgement and decision-making ability
• Excellent communicator (technical and non-technical)
• Collaborative across engineering, product, and leadership
• Curious and forward-thinking (especially around AI)
• Pragmatic - balances long-term architecture with delivery

WHY APPLY?

• Own architecture of a global SaaS platform
• Work across cloud, Real Time systems, and AI
• Shape AI strategy at platform level
• High visibility, high-impact leadership role

Send CV URGENTLY if interested.

Rest assured that your application will be treated in the strictest confidence and will not be sent to any third party without your explicit consent. Due to the high level of applications, we are only able to respond to candidates whose experience closely matches the requirements.

Clarity is a specialist recruitment business. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010.

Excellent opportunity opens for an ambitious Engineer experienced in building complex systems using Rust, who is passionate about Crypto and blockchain technology and excited to drive innovation. The ideal candidate will have worked in the Crypto Space and will be well-versed at building Smart Contracts.

• Strong understanding of Rust and can design and implement robust, efficient, and secure systems.
• Comfortable writing clean, scalable, and well-tested code.
• Working in a fast-paced start-up environment, where you’ll need to take initiative and solve problems independently.
• Pushing code that supports tens of billions of dollars of daily transactional volume doesn’t scare you.
• Tech-passionate, curious and eager to learn new technologies and design patterns.
• Experienced at navigating up and down a deep technical stack.
• Capable of articulating complex technical concepts clearly and succinctly.
• Excellent problem-solving skills and attention to detail.

About You:

• Bachelor’s degree in Computer Science or related field, or equivalent practical experience.
• 2+ years of experience in systems programming, with a strong focus on Rust.
• Previous experience with blockchain technologies, smart contracts, and decentralised finance.
• You have conviction in your architecture/designs/ideas but are open minded to share and build solutions with others.
• Experience with AWS services, particularly related to deploying, managing, and scaling applications.
• Proficiency in Back End development languages, such as Typescript.
• Experience working with workflow engines.

Interested? Please Apply!

Rust Developer Rust Code Rust Coding Rust Specialist Software Engineer Development Rust Engineer Crypto Digital Assets Blockchain Web3 Web3 Go Golang Programme Programming Decentralised Azure AWS Automate Smart Contract Smart Contracts Small Contracts Equity Bank Banking Hedgefund Trading Low Latency Ultra Low Latency Financial Services Decentralised Finance Remote WFH Hybrid Work Abroad Ethereum DeFi OTC Financial Services Investment Banking Banking Smart Contracts Workflow Engines Rust (Programming Language) Crypto Programming Systems Programming Go (Programming Language) Amazon Web Services (AWS)

Excellent opportunity opens for an Engineer experienced in building complex systems using Rust, who is passionate about Crypto and blockchain technology and excited to drive innovation. The ideal candidate will have worked in the Crypto Space and will be well-versed at building Smart Contracts.

• Strong understanding of Rust and can design and implement robust, efficient, and secure systems.
• Comfortable writing clean, scalable, and well-tested code.
• Working in a fast-paced start-up environment, where you’ll need to take initiative and solve problems independently.
• Pushing code that supports tens of billions of dollars of daily transactional volume doesn’t scare you.
• Tech-passionate, curious and eager to learn new technologies and design patterns.
• Experienced at navigating up and down a deep technical stack.
• Capable of articulating complex technical concepts clearly and succinctly.
• Excellent problem-solving skills and attention to detail.

About You:

• Bachelor’s degree in Computer Science or related field, or equivalent practical experience.
• 3+ years of experience in systems programming, with a strong focus on Rust.
• Previous experience with blockchain technologies, smart contracts, and decentralised finance.
• You have conviction in your architecture/designs/ideas but are open minded to share and build solutions with others.
• Experience with AWS services, particularly related to deploying, managing, and scaling applications.
• Proficiency in Back End development languages, such as Typescript.
• Experience working with workflow engines.

Interested? Please Apply!

Rust Developer Rust Code Rust Coding Rust Specialist Software Engineer Development Rust Engineer Crypto Digital Assets Blockchain Web3 Web3 Go Golang Programme Programming Decentralised Azure AWS Automate Smart Contract Smart Contracts Small Contracts Equity Bank Banking Hedgefund Trading Low Latency Ultra Low Latency Financial Services Decentralised Finance Remote WFH Hybrid Work Abroad Ethereum DeFi OTC Financial Services Investment Banking Banking Smart Contracts Workflow Engines Rust (Programming Language) Crypto Programming Systems Programming Go (Programming Language) Amazon Web Services (AWS)