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, including building and training LLMs

Strong understanding of Microservices and modern web architectures

Deep expertise in programming languages and frameworks such as Java and Spring Boot

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

My client is seeking to recruit a Solution Architect on an initial 6 month contract for a Financial Services client based in London. It is hybrid and will require 3x days onsite per week. Responsibilities:

1. Responsible for overseeing architectural standards across the Development Team
2. Create and improve architectural standards for on premise and azure cloud software products, develop cloud migration procedures and guidelines.
3. Assist in cloud migration projects, assess readiness and dependencies, optimize for the Cloud.
4. Create and review blueprints for software products, provide guidance on improving architecture.
5. Coding mission critical parts and performing code reviews.
6. Assist on integrating AI technologies to improve existing systems.

Key Skills required:

1. Extensive experience working as a software and solutions architect.
2. Experience in designing of high-level concepts for software solutions.
3. Experience in development of Azure cloud-based as well as on-prem solutions.
4. DevOps and SCRUM experience
5. Experience in Cloud migration planning and execution
6. Ability to code in C#
7. Knowledge and experience of Agile methodology
8. Knowledge of Cloud and AI technologies that can be adopted into the workplace

Cybersecurity Specialist - AI & Data Security

Client & Project

We are seeking a talented Cybersecurity Specialist to join the AI & Data Security team, where you will contribute to the delivery and ongoing evolution of the organisation’s AI Security programme.

Role Overview

As a Cybersecurity Specialist, you will bring hands-on experience with leading AI technologies and platforms-primarily AWS Bedrock, Azure OpenAI, Microsoft 365, and other foundation model providers-to support teams in adopting these capabilities securely and effectively.

You will provide guidance on model security, deployment patterns, guardrails, integration architectures, observability, evaluation techniques, and safe operationalisation across a wide range of business use cases. You will translate platform-specific risks, limitations, and best practices into actionable engineering patterns and governance controls.

In this role, you will act as a subject matter expert, collaborating with and supporting the wider team to ensure high-quality outcomes. You will influence key decisions, engage with multiple teams, and provide practical solutions to technical and security challenges across the organisation.

Required & Recommended Proficiencies

• Master proficiency (required): Network Encryption
• Expert proficiency (recommended): Secure AI
• Master proficiency (suggested): Microsoft Azure Active Directory Security
• Intermediate proficiency (suggested): AI Agents, Amazon Bedrock, Microsoft Azure AI Foundry

Key Responsibilities

• Develop innovative security strategies to enhance application and AI security.
• Conduct regular security assessments and audits to identify vulnerabilities and recommend remediation.
• Collaborate with cross-functional teams to ensure secure design and implementation of AI and digital solutions.
• Stay up to date with emerging security trends, technologies, and threat landscapes to inform architecture and governance decisions.
• Mentor and support team members on secure application design, AI security principles, and best practices.

Skills

Master proficiency in Network Encryption is required; expert proficiency in Secure AI is recommended.Master proficiency in Microsoft Azure Active Directory Security, with intermediate proficiency in AI Agents, Amazon Bedrock, and Microsoft Azure AI Foundry, is preferred.

Excellent opportunity for a Quantitative Analyst who is passionate about sports to join an excellent client’s team based in central London. The successful Quantitative Analyst will join a very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers.
The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial.

This is an office-based role and as well as very competitive salaries, our client offers an excellent working environment.

Skills required:

• Proficient in several of the following: Python, C#, C++, Java
• Mathematical Modelling
• Mathematical skills, particularly a keen understanding of probabilities and statistics
• Analytic mindset
• Strong communication skills
• Accuracy and attention to detail
• Experience in data science
• An interest in sports - Ideally football or cricket

If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at

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

DeFi space

Remote: (HQ: Singapore)

£150k-200k

Plexus has another great opportunity with one of our long-term clients within the DeFi space. This is a great opportunity to join a fast growing startup building core infrastructure for decentralised finance.

They are looking for a solidity engineer to design and ship secure, production grade smart contracts that will power high value financial products like stablecoins, liquidity infrastructure, and DeFi protocols.

Role:

• Design, develop, and maintain advanced Solidity smart contracts
• Contribute to protocol architecture, design patterns, and technical direction
• Write unit, integration, and fuzz tests using Foundry or similar frameworks
• Optimise and debug smart contracts for gas efficiency,performance,and security
• Collaborate with product and backend teams to deliver features

Requirements:

• 3+ years of Solidity development experience with production smart contracts
• Experience working on stable coins
• Experience shipping audited contracts and mainnet deployments
• Understanding of EVM, Defi primitives, and protocol mechanics
• Solid knowledge of common smart contract vulnerabilities and mitigations

Benefits:

• Competitive Salary
• Fully remote work
• Token equity upside
• Build core DeFi infrastructure used by real users
• Well funded startup with strong backing

If youre interested, please reach out by clicking the Apply button.

Assurance Product Owner, Product Specialist, Knowledge Management, Audit Technology, Fintech, Heavily Regulated Background ESSENTIAL, AI, Mainly Remote with Global Travel

Assurance / Technology Product Owner required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required (to London, Europe and the States on occasions it will be bi-monthly travel for team collaboration), you will be reimbursed for your travel and accommodation.

This Product Owner will have an Assurance (Technology and / or Business) first background, who understands how to navigate through hardened Dev Teams. Ideally you will have experience with Knowledge Managementand you will have a passion for, and experience with AI.

We need someone who thinks like this:

How do I bring a Product into the AI Agentic World

How would I plan to imbed AI Agents?

With something as complex as this, in terms of the sheer amount of Knowledge Management information involved, how would I plan to tag the agents with the right amount of knowledge?

How do I communicate this to the business, ready for launch?

Coming from a heavy regulated environment such as Accounting, Financial Services, Fintech, Legal, Assurance, Insurance etc is ESSENTIAL. You must have experience with firm with solid governance, compliance and regulatory boundaries.

In summary Assurance first, along with Knowledge Management experienceand experience with AI. A Product Owner exposure in a heavily regulated environment and a fantastic attitude. This is simply what we essentially need here. Being part of products in the B2B world, or part of big, significant internal, highly regulated products. You will also be able to give strong examples of success in topics such as handling last minute changes to priorities, along with a proven ability to deliver key solutions.

As this has global coverage, there may be some early / late calls. You must be prepared for this. There will be give and take with times, along with some flexibility if things are becoming quite taxing. However, we want someone dedicated and definitely not someone who wants a hardened 9am 5pm kind of position!Read on for more details

Experience required:

At least 3 years experience as a Product Owner in a complex, professional global environment

Assurance (technology and / or business) first background with an understanding of how to navigate through development teams

AI experience where you have preferably launch AI related products, or at least had them ready for launch

Understanding of Agentic AI, along with how to set up AI agents

Experience of communicating with 3rdParty suppliers, along with knowing how to get the best out of them

Global experience is preferred with the appreciation this is Global coverage, sometimes working outside of a standard 9am to 5pm structure

Strong Knowledge Management experience with a passion for new technologies

Knowledge of developing, analysing and designing digital products and software applications

Strong stakeholder management skills at all levels with excellent communication skills both verbal and written

Strong understanding of Agile

Proactive self-starter capable of managing multiple priorities in a face-paced environment

Knowledge of MS Office productivity, communication & collaboration technologies

Effectively demonstrate teamwork skills, problem solving skills, initiative and integrity

Excellent English language proficiency and good interpersonal communication skills

This is an excellent opportunity and salary is dependent upon experience. Apply now for more details

Role/Job Title: AWS Solution Designer
Work Location: London / Edinburgh
Mode of Working: Hybrid
Office Requirement: 2 days in office
The RoleAWS Solution Designer (with GenAI experience)Your responsibilities: Lead end to end GenAI initiatives including model creation, finetuning, benchmarking, evaluation, and RAG system design.
Drive LLM evaluation frameworks ensuring accuracy, safety, robustness, and alignment with business and compliance needs.
Manage delivery of AI and data projects, ensuring timelines, quality, governance, and cross functional alignment.
Collaborate with senior stakeholders to translate commercial and institutional business objectives into scalable AI and analytics solutions.
Provide techno managerial leadership across teams, enabling execution excellence, innovation, and adoption of GenAI capabilities.
A hands-on experience on Gen AI solutions would be preferableYour ProfileEssential skills/knowledge/experience: Techno manager with experience hands-on(preferably)/delivery on GenAI - Models creation, Finetuning, Benchmarking and evaluation, RAG, LLM evaluation. Stake holder management, Delivery management.

Lead PySpark Engineer (Cloud Migration)

Role Type: 5-Month Contract

Location: Remote (UK-Based)

Experience Level: Lead / Senior (5+ years PySpark)

Role Overview

We are seeking a Lead PySpark Engineer to drive a large-scale data modernisation project, transitioning legacy data workflows into a high-performance AWS cloud environment. This is a hands-on technical role focused on converting legacy SAS code into production-ready PySpark pipelines within a complex financial services landscape.

Key Responsibilities

• Code Conversion: Lead the end-to-end migration of SAS code (Base SAS, Macros, DI Studio) to PySpark using automated tools (SAS2PY) and manual refactoring.
• Pipeline Engineering: Design, build, and troubleshoot complex ETL/ELT workflows and data marts on AWS.
• Performance Tuning: Optimise Spark workloads for execution efficiency, partitioning, and cost-effectiveness.
• Quality Assurance: Implement clean coding principles, modular design, and robust unit/comparative testing to ensure data accuracy throughout the migration.
• Engineering Excellence: Maintain Git-based workflows, CI/CD integration, and comprehensive technical documentation.

Technical Requirements

• PySpark (P3): 5+ years of hands-on experience writing scalable, production-grade PySpark/Spark SQL.
• AWS Data Stack (P3): Strong proficiency in EMR, Glue, S3, Athena, and Glue Workflows.
• SAS Knowledge (P1): Solid foundation in SAS to enable the understanding and debugging of legacy logic for conversion.
• Data Modeling: Expertise in ETL/ELT, dimensions, facts, SCDs, and data mart architecture.
• Engineering Quality: Experience with parameterisation, exception handling, and modular Python design.

Additional Details

• Industry: Financial Services experience is highly desirable.
• Working Pattern: Fully remote with internal team collaboration days.
• Benefits: 33 days holiday entitlement (pro-rata).

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Data Scientist: Country Risk & Advanced Analytics Join an integrated team of economists, political scientists, and computer scientists to shape the strategic decisions of the world’s leading organizations. How You’ll Make an Impact: Innovate: Prototype new approaches for extracting insights from structured and unstructured data. Build: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data. Collaborate: Partner with cross-domain experts to turn non-technical ideas into scalable, interpretable research designs. Deploy: Develop and maintain robust ML pipelines for both experimentation and production.Who You Are: Technical Expert: You have substantial experience with Python or R, and are skilled in querying and analyzing big data. NLP Specialist: You have a proven track record of developing and refining NLP models. Clear Communicator: You can explain complex ML/NLP methodologies to non-technical stakeholders with ease. Methodical: You are familiar with experiment tracking (DVC, Weights & Biases) and model evaluation metrics.Stand Out From the Crowd: Candidates with an advanced degree in ML/NLP, exposure to cloud platforms (AWS, Databricks, Snowflake), or experience in agile, fast-paced environments are highly encouraged to apply or share your updated CV to saisaranya.gummadi @ Randstad Technologies is acting as an Employment Business in relation to this vacancy

About the Role We’re looking for motivated individuals to join our team as Junior AI Software Engineers, no previous experience in AI, software development, or IT is required. Whether you’re looking to start your first role in tech or make a complete career change, this opportunity is designed to give you a structured path into the growing field of artificial intelligence and software engineering. This is a full-time, entry level position offering full on-the-job training. Your journey will begin with a 3 month training and induction programme, where you’ll learn the practical skills needed to succeed in your role. From there, you’ll continue to develop your knowledge while contributing to real world projects alongside experienced engineers. Education Requirement: A-Level or equivalent Why This Role is Right for You You do not need a degree or any prior coding experience You have a minimum of A-Level education (or equivalent) You’re looking to start a career in tech or change career paths You’re motivated to learn, grow, and work in a fast paced, supportive environment You’re excited by the idea of working in the field of AI and software development What We Offer £40,000 starting salary Full-time, permanent position No prior experience required- full on the job training provided A structured 3-month training and induction programme to get you up to speed Career progression opportunities into software development, AI engineering, data science, and more A supportive team environment where continuous learning is encouraged Work on real AI driven software projects with hands-on mentorship Key Responsibilities After completing the training programme, your responsibilities will include: Assisting with the development and testing of AI based software applications Writing, reviewing, and debugging code under guidance from senior developers Learning and applying best practices in software engineering and version control Supporting project teams with data preparation and integration tasks Participating in team meetings, code reviews, and collaborative development sessions Ideal Candidate Profile Minimum of A-Level education (or equivalent) No degree or industry experience required Strong willingness to learn and take on new challenges Logical thinker with good attention to detail Comfortable working both independently and as part of a team Interest in technology and a desire to build a long term career in the tech industry Demonstrates a strong understanding of AI ethics, including fairness, transparency, accountability, and responsible use of data and algorithms How to Apply If you’re ready to take the first step into a future-proof industry, we’d love to hear from you. Please submit your CV and a brief statement on why you’re interested in this opportunity

Flight Software Engineer - Robotics & Autonomous Systems Up to £65,000 + Excellent Benefits | Full-Time | Permanent (Anonymous Client - Cutting‑Edge Robotics Start‑Up) Are you excited by the challenge of building safety‑critical software for next‑generation autonomous systems? Our clientm, an innovative, fast‑growing robotics start‑up, is seeking a Flight Software Engineer to help develop advanced assurance and autonomy systems used across AI‑enabled robotic platforms. This is an opportunity to work on genuinely groundbreaking technology within a mission‑driven organisation shaping the future of autonomous safety. The Role As a Flight Software Engineer, you will design and build core robotics software components that enable safe, predictable, and high‑performance operation of autonomous systems. You’ll work across perception, planning, control, and decision‑making, collaborating with experts in embedded engineering, AI/ML, and systems architecture. You will play a key role in developing software that meets the highest safety standards,rigorously tested, deeply validated, and engineered for real‑world, high‑stakes applications. Key Responsibilities Develop robotic software algorithms for perception, planning, control, and decision‑making across the autonomy stack. Collaborate closely with cross‑functional teams to integrate components into complex robotic systems. Conduct robust testing, optimisation, and validation to meet strict safety and performance requirements. Improve development processes, tools, and methodologies to support high‑reliability robotics engineering. Stay up to date with the latest advances in robotics software and apply innovative techniques to production systems. Mentor junior engineers and support team growth. Skills & Experience Degree in Computer Science, Robotics, Aerospace, Electrical Engineering, or related field. Proven experience developing software for robotics or autonomous systems, ideally safety‑critical or mission‑critical. Strong proficiency in C/C++ and Python, with hands‑on experience in robotics frameworks (e.g. ROS, Gazebo, MoveIt). Strong understanding of algorithms in perception, motion planning, control, and decision‑making. Experience with development practices such as Agile, CI/CD, TDD. Knowledge of safety‑critical standards (e.g. DO‑178C, ISO 26262, IEC 61508) is beneficial. Excellent debugging, problem‑solving, communication, and teamwork skills. Ability to obtain UK Security Clearance (SC). Working Culture This role suits someone who enjoys the pace and ownership of a start‑up environment. You’ll thrive if you: Love solving complex technical challenges Enjoy working collaboratively and adapting quickly Are comfortable wearing multiple hats as the company scales Embrace responsibility and want to help build something from the ground up Can commit to occasional extended hours during key phases - not as standard, but because progress matters Benefits Salary sacrifice pension with 5% company match Generous holiday allowance EV car scheme Cycle to Work More benefits planned as the business continues to scale DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality

AI Technical Consultant Contract

Rate: £700 per day
Contract Length: 3 6 months
Location: Flexible / Hybrid (depending on candidate)

An exciting AI startup is looking for an experienced AI Technical Consultant to join them on a critical project phase. This is a hands-on contract role suited to someone who can operate at both a technical and advisory level, helping shape, deliver, and optimise AI-driven solutions.

You ll work closely with founders, engineers, and stakeholders to translate business requirements into scalable AI solutions, provide technical guidance, and support delivery across the project lifecycle.

Key Responsibilities:

• Act as a technical advisor on AI architecture, model selection, and implementation
• Work closely with engineering and product teams to deliver AI solutions end-to-end
• Provide hands-on input across model development, deployment, and optimisation
• Support stakeholders with technical decision-making and best practice
• Ensure solutions are scalable, ethical, and aligned with business objectives

Required Experience:

• Proven experience as an AI Consultant, AI Engineer, or similar technical role
• Strong understanding of machine learning, AI frameworks, and deployment practices
• Experience working with startups or fast-paced environments
• Ability to communicate complex technical concepts to non-technical stakeholders
• Prior contract experience is highly desirable

This is a fantastic opportunity to work with a high-growth AI startup, influence key technical decisions, and deliver real impact in a short timeframe.

If you re interested email me at (url removed)

Adecco/Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone’s chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.

Job Title: Senior Software Engineer

Contract: 12-Month Contract to be extended

Location: Windsor Or London - Hybrid (Once a month in office)

Rate: £650 - £700 inside umbrella

Are you a talented software engineer with a passion for AI and cloud technologies? Do you thrive in collaborative environments where innovation is at the forefront? Our client is on the lookout for a Senior Software Engineer to join their dynamic team and help shape the future of contact centre solutions using AWS AI services!

What You’ll Do:
As a Senior Software Engineer, you will play a pivotal role in designing, developing, and maintaining cutting-edge software solutions. Your day-to-day responsibilities will include:

• Innovative Development: Utilize AWS AI services, specifically Amazon Lex, to craft engaging contact flows and webchat functionalities.
• Collaboration at Its Best: Work closely with cross-functional teams to seamlessly integrate AI capabilities into our contact center solutions.
• Code with Purpose: Write clean, efficient, and maintainable TypeScript code that drives our software forward.
• Champion DevOps: Implement and advocate for best practices in DevOps, including CI/CD pipelines, automated testing, and infrastructure as code.
• Quality Assurance: Lead and participate in code reviews to ensure our code is top-notch and adheres to industry standards.
• Problem Solving: Troubleshoot and resolve complex technical issues across various areas of the software stack.

What You Bring:
To thrive in this role, you should possess:

• Experience: Proven track record as a Senior Software Engineer or in a similar role.
• AWS Expertise: Strong proficiency in AWS services, particularly Amazon Lex and other AI/ML offerings.
• Tech Savvy: Proficiency in TypeScript and modern JavaScript frameworks.
• DevOps Knowledge: Solid understanding of DevOps methodologies and tools (CI/CD, Serverless, Monitoring).
• Contact Center Familiarity: Experience with contact center technologies and integrations.
• Problem-Solving Skills: Excellent analytical skills with the ability to work both independently and collaboratively.
• Communication Skills: Strong verbal and written communication abilities.

Qualifications:

• Experience with other AWS AI services and tools.
• Familiarity with serverless architectures and microservices.
• Knowledge of security best practices in cloud environments.
• Experience with agile development methodologies.

Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

Excellent opportunity for a Quantitative Analyst who is passionate about sports to join an excellent client’s team based in central London. The successful Quantitative Analyst will join a very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers.
The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial.

This is an office-based role and as well as very competitive salaries, our client offers an excellent working environment.

Skills required:

• Proficient in several of the following: Python, C#, C++, Java
• Mathematical Modelling
• Mathematical skills, particularly a keen understanding of probabilities and statistics
• Analytic mindset
• Strong communication skills
• Accuracy and attention to detail
• Experience in data science
• An interest in sports - Ideally football or cricket

If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at (url removed)

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

Lead PySpark Engineer (Cloud Migration)

Role Type: 5-Month Contract

Location: Remote (UK-Based)

Experience Level: Lead / Senior (5+ years PySpark)

Role Overview

We are seeking a Lead PySpark Engineer to drive a large-scale data modernisation project, transitioning legacy data workflows into a high-performance AWS cloud environment. This is a hands-on technical role focused on converting legacy SAS code into production-ready PySpark pipelines within a complex financial services landscape.

Key Responsibilities

• Code Conversion: Lead the end-to-end migration of SAS code (Base SAS, Macros, DI Studio) to PySpark using automated tools (SAS2PY) and manual refactoring.
• Pipeline Engineering: Design, build, and troubleshoot complex ETL/ELT workflows and data marts on AWS.
• Performance Tuning: Optimise Spark workloads for execution efficiency, partitioning, and cost-effectiveness.
• Quality Assurance: Implement clean coding principles, modular design, and robust unit/comparative testing to ensure data accuracy throughout the migration.
• Engineering Excellence: Maintain Git-based workflows, CI/CD integration, and comprehensive technical documentation.

Technical Requirements

• PySpark (P3): 5+ years of hands-on experience writing scalable, production-grade PySpark/Spark SQL.
• AWS Data Stack (P3): Strong proficiency in EMR, Glue, S3, Athena, and Glue Workflows.
• SAS Knowledge (P1): Solid foundation in SAS to enable the understanding and debugging of legacy logic for conversion.
• Data Modeling: Expertise in ETL/ELT, dimensions, facts, SCDs, and data mart architecture.
• Engineering Quality: Experience with parameterisation, exception handling, and modular Python design.

Additional Details

• Industry: Financial Services experience is highly desirable.
• Working Pattern: Fully remote with internal team collaboration days.
• Benefits: 33 days holiday entitlement (pro-rata).

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Canary Wharf, London (Hybrid)
75,000 - 85,000 + Holiday + Pension

This is an excellent opportunity for an experienced developer to join a disruptive technology start-up at a pivotal moment of growth. If you are a versatile engineer who enjoys working across the full development lifecycle from technical design to rollout and want to see your code directly impact products in the high-stakes worlds of professional sports and real-time betting, this role is for you.

This company is focused on developing a new betting platform, alongside cutting-edge sports equipment, that play a key part in feeding back analytics, for athlete welfare and live betting odds. They offer a fast-paced environment where you can shape the technical future and join at an exciting time for the business during this early phase of growth.

In this varied role, you will lead the technical development of the betting platform and will work closely with Product Managers to define requirements, collaborate with third-party developers, and ensure the seamless rollout of new releases through end-to-end testing. As a senior member of a small, dynamic team, you will also play a key role in system support and problem solving to ensure high-performance service delivery.

The ideal candidate will be a hands-on developer proficient in Python, TypeScript, Golang, Node JS, and React, with a strong understanding of both Postgres and NoSQL databases. You should have the ability to translate complex technical concepts into clear documentation. Experience with real-time systems (such as finance or trading), AWS, and CI/CD pipelines will be highly advantageous, as will any familiarity with IoT, firmware, or data science.

This is a fantastic opportunity to secure a role in a fast-paced, hands-on environment. You will have the chance to shape the future of a real-time analytics betting platform, while benefiting from a hybrid working model and a culture that values initiative, adaptability, and continuous learning.

The Role:

• Full lifecycle development from requirements and technical design to production and rollout.
• Drive the evolution of Betting Platform and IOT systems.
• Execute end-to-end tests and documentation to ensure fault-free releases.
• Liaise with internal stakeholders and third-party partners.

The Person:

• Experience with Postgres/NoSQL and Python, Go, or Node JS.
• Comfortable in a fast-paced, hybrid start-up environment.
• Ability to author technical reports and explain complex ideas to varied audiences.
• Knowledge of AWS/Terraform, CI/CD, sports betting systems, or firmware/electronics.

Reference Number: BBBH(phone number removed)

Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles.

The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client.

We are an equal opportunities company and welcome applications from all suitable candidates.

Data Engineer - (Python, SQL, Machine Learning, AI, Cloud Storage) - Robotics/AI

My global AI & Robotics client is looking for an experienced Data Engineer to join their data engineering team based in London.

This is a data engineering role so you are expecting to have in-depth technical knowledge of Python, SQL, Machine Learning, AI, Cloud Storage and managing large data sets.

A commercial background or a demonstrable strong interest in robotics & AI is highly preferred for this role.

Essential Skills

• Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field.
• Experience in data engineering, data quality management, or a similar role.
• Strong proficiency in Python, SQL, and data processing frameworks.
• Knowledge of machine learning and its data requirements.
• Attention to detail and a strong commitment to data integrity.
• Excellent problem-solving skills and ability to work in a fast-paced environment.

Desirable Skills

• Experience in robotics or a related field.
• Familiarity with cloud-based data storage and processing solutions.
• Passion for contributing to the development of advanced humanoid robots

Responsibilities

• Curate, preprocess, and manage large datasets used for training humanoid robots.
• Ensure the quality, accuracy, and consistency of data across multiple projects.
• Collaborate with the machine learning team to design data pipelines that support efficient training workflows.
• Develop and maintain data quality metrics reporting systems.
• Work with engineers and researchers to identify and address data quality issues.
• Implement best practices for data management, including versioning, security, and compliance

This is an excellent opportunity to apply your technical data engineering skills in a forward thinking and cutting edge sector using the latest technicalities collaborating with other leading minds in the sector. So don’t delay and apply today as I have interview slots ready to be filled.

Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.

On behalf of one of our premier clients, we are seeking a high-caliber Cybersecurity Specialist to join their expanding AI & Data Security team. This is a critical role within our client’s AI Security programme, designed for a professional who thrives at the intersection of traditional infrastructure security and the emerging frontier of Generative AI.

Our client is at the forefront of AI adoption; you will be the technical lead ensuring that these powerful technologies from AWS Bedrock to Azure OpenAI are implemented with world-class security standards.

Core Requirements (Non-Negotiable):

• Network Encryption: Master Proficiency is required. You must have deep expertise in securing data in transit, cryptographic protocols, and enterprise-scale encryption management.
• Microsoft Azure Active Directory (Entra ID) Security: Master Proficiency is suggested. Extensive experience in identity governance, conditional access, and securing cloud identities is critical.

AI & Emerging Technology (Recommended):

• Secure AI: Expert Proficiency is highly recommended. This includes knowledge of model security, deployment patterns, and the safe operationalization of foundation models.
• AI Agents: Intermediate Proficiency suggested. Experience in the security implications of autonomous agents and LLM-integrated workflows.
• Amazon Bedrock & Microsoft Azure AI Foundry: Intermediate Proficiency suggested. Practical experience with these specific platforms and their native security controls.

Key Responsibilities

• Innovative Strategy: Develop and implement security strategies that enhance application security while enabling AI adoption.
• Security Governance: Translate platform-specific risks (AWS Bedrock, Azure OpenAI) into actionable engineering patterns and governance controls.
• Assessments & Audits: Conduct regular security assessments and audits to identify vulnerabilities across the AI and data landscape.
• Cross-Functional Collaboration: Partner with multiple teams to ensure security best practices are integrated into the development lifecycle.
• Mentorship: Act as a subject matter expert, managing team decisions and mentoring members on modern application security principles.

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Job Specification: AI Architect - Insurance Sector

Role: AI Architect

Sector: Insurance

Location: London (Hybrid: 1-3 days in-office/client site)

Duration: 12 Months Initial (Long-Term Expectation)

IR35 Status: Expected Outside IR35

Start Date: April 1st

Role Overview

We are seeking a highly experienced, consultative AI Architect to join a major managed service engagement with a leading Insurer.

The client is in the early stages of adopting Generative AI (Gen AI) and requires an architect who can define the strategic direction, establish architectural patterns, and guide the organization from discovery through to scalable implementation. This is a senior, technology-focused position that requires deep expertise in Gen AI architecture, tooling evaluation, and integration.

This is explicitly not a data engineering or classic data platform build role; the focus is on architectural direction, solution design, and low-maturity organizational uplift.

Key Responsibilities

The architect will be central to helping the client understand, qualify, and scale their AI capability:

• Gen AI Strategy & Use Case Identification: Identify, qualify, and shape early Gen AI use cases across the business. Assess feasibility and recommend the most effective technical approach.
• Architectural Design: Create high-level architectures demonstrating how Gen AI components (including LLMs) integrate cleanly into the existing enterprise estate (which currently includes Azure and Snowflake).
• Model & Tooling Evaluation: Compare model families, implementation patterns (e.g., RAG patterns), and platforms (Azure native and broader market options). Provide clear pros and cons to explain trade-offs and recommend the right fit.
• Integration & Middleware: Deeply understand middleware, integration layers, and enterprise patterns to ensure AI components connect cleanly with existing operational systems and workflows.
• Scaling & AI Ops Guidance: Guide the client through early-stage adoption and help them build a repeatable model for scaling Gen AI, supporting the transition from discovery into delivery and establishing AI Ops practices.
• Team Collaboration: Work closely with BAs, Product Owners, Data specialists, and technical SMEs within a large, globally distributed delivery team.

Required Experience and Skills

Technical Architecture

• Deep AI Architecture: Strong background in Gen AI architecture, particularly in designing and implementing end-to-end AI solutions in a commercial environment (not limited to just LLMs).
• LLM Focus: Solid understanding of RAG patterns, model orchestration, prompt design, and guardrails.
• Platform Flexibility: Experience evaluating and implementing model families across Azure and non-Azure environments. Broad cloud knowledge across Azure and at least one other major provider is required.
• Integration: Expert knowledge of enterprise integration and middleware patterns is essential for embedding AI into existing operational flows.

Consultative & Professional Skills

• Low-Maturity Uplift: Proven experience working with organizations with low AI maturity, helping them define what Gen AI can do, where to start, and how to scale.
• Consultative Approach: Ability to assess benefits and constraints and provide clear architectural direction without heavy sign-off structures.
• Team Collaboration: Ability to operate effectively within mixed functional teams and contribute to a globally distributed delivery team that spans different time zones.

Logistics

• Start Date: Targeted for end of Q1.
• Interview Process: The selection process will conclude by Mid-March
• Working Pattern: Hybrid model, requiring 1 to 3 days per week on-site in London, based on programme demand.

Data Scientist: Country Risk & Advanced Analytics

Join an integrated team of economists, political scientists, and computer scientists to shape the strategic decisions of the world’s leading organizations.

How You’ll Make an Impact:

• Innovate: Prototype new approaches for extracting insights from structured and unstructured data.
• Build: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data.
• Collaborate: Partner with cross-domain experts to turn non-technical ideas into scalable, interpretable research designs.
• Deploy: Develop and maintain robust ML pipelines for both experimentation and production.

Who You Are:

• Technical Expert: You have substantial experience with Python or R, and are skilled in querying and analyzing big data.
• NLP Specialist: You have a proven track record of developing and refining NLP models.
• Clear Communicator: You can explain complex ML/NLP methodologies to non-technical stakeholders with ease.
• Methodical: You are familiar with experiment tracking (DVC, Weights & Biases) and model evaluation metrics.

Stand Out From the Crowd: Candidates with an advanced degree in ML/NLP, exposure to cloud platforms (AWS, Databricks, Snowflake), or experience in agile, fast-paced environments are highly encouraged to apply or share your updated CV to removed)

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Our client is looking for an experienced Data Scientist to design, build, and optimise machine learning models and advanced analytics solutions that support institutional priorities across a large, complex network. The role blends hands-on data science with strategic impact, using AWS technologies to deliver predictive insights that drive proactive interventions and data-driven decision-making. This is a hybrid role with the expectation of working 2 days pw in the London office.

Skills and experience required:

• Bachelor’s degree in data science, Statistics, Computer Science, Mathematics, or similar
• Experience delivering predictive analytics or machine learning solutions
• Strong skills in Python, SQL, and ML libraries (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow)
• Hands-on experience with AWS ML services (SageMaker, Lambda, Redshift)
• Ability to clearly communicate insights to non-technical stakeholders
• Strong analytical thinking, collaboration skills, and a results-driven mindset

Role responsibilities:

• Build, tune, and maintain predictive and ML models using AWS SageMaker
• Analyse large datasets and perform feature engineering to improve model performance
• Run experiments, test hypotheses, and optimise models for accuracy and value
• Monitor model performance and manage retraining over time
• Collaborate with Data Engineers, BI Developers, and Analysts to integrate outputs into dashboards and reports
• Partner with academic, operational, and IT stakeholders to translate insights into action
• Document models and support knowledge sharing and scalability
• Contribute to the expansion of predictive analytics into advanced ML/AI use cases

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