Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Solution Architect - Identity Management Software platform – remote outside IR35 contract

Staffworx
Bury
6 months ago
Applications closed

Related Jobs

View all jobs

Solution Architect – AI & Machine Learning

Deep Learning Solutions Architect – Inference Optimization

Deep Learning Solutions Architect – Inference Optimization

Deep Learning Solutions Architect – Inference Optimization

Data Engineer

Senior Data Scientist, Generative AI Innovation Center, AWS Generative AI Innovation Center

IDM, Identity Management Solution Architect, leading services provider


New workstreams to develop and upgrade full stack microservices identity management software platform.


The Role

  • Work with product owners, security teams and technical analysts in Identity Management team.
  • Turn requirements into technical solutions that can be refined, estimated and ultimately delivered by the development teams within Identity Management.
  • work with architects in software engineering and data engineering teams to ensure that identity solutions work as part of the end-to-end architecture
  • Shape the identity platform, key investment, Identity standards, microservices alignment


Experience:

  • Solution Architect with strong identity management domain experience.
  • OAuth2 compliance
  • Design solutions considering security, performance, maintenance cost etc
  • Solid technical engineering background with full stack preferred as role interacts with a lot of areas including resiliency patterns, NoSQL DBs (Couchbase, Mongo, Cassandra, Cosmos etc, Kubernetes, AWS cloud, message brokers (Apache Kafka), security
  • Ability to clearly define and document technical solutions
  • software engineering background (full stack, java, scala) and a track record of delivering complex, scalable software solutions into production
  • software coding background prior to architecture in high-performing engineering teams developing cloud-based services, backend, frontend and mobile apps
  • Software architecture and appreciate of DevOps principles and practices, with extensive grounding in data privacy and information security, and knowledge of dev/test process improvement, tools and automation


#idm #identity #identitymanagement #architect #OAuth2 #contractjobs #remote


#outsideir35 #NoSQL #Kafka


This assignment will fall outside the scope of IR35

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.