Work on the hard part.
Roles at ARC and with the clients we serve — senior data and AI engineering, vetted the same way we vet everyone.
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Data Scientist — Enterprise AI Applications
Five contract data-science roles building production ML — fraud detection, predictive maintenance — for a leading enterprise-AI software company in London.
The work
Our client is building AI applications for large global businesses: fraud detection, predictive maintenance and similar production-scale industrial ML. We’re placing five data scientists into their London team. You’ll design, build and deploy models that ship into production — not proofs of concept — working directly with client data scientists, engineers and domain experts.
What we look for
- 5+ years of applied machine learning — regression, classification, supervised and unsupervised methods
- Strong Python (R also useful) and a solid grounding in linear algebra, probability and statistics
- Experience running ML on large-scale data (distributed or streaming pipelines)
- Able to drive a workstream independently and explain modelling choices to non-specialists
- Nice to have: MSc/PhD in computer science, statistics or similar; time-series work; published research
Engagement
£500/day · 6 months initial with likely extension · inside IR35 per the client’s status determination · start ASAP. Every candidate is technically vetted by an ARC principal architect before going forward. Applicants must have the right to work in the UK — no sponsorship is available for these roles.
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Solutions Engineer (Full-Stack) — Enterprise AI
Five contract full-stack solutions-engineer roles — building and deploying production AI web applications, customer-facing, for a leading enterprise-AI software company in London.
The work
Our client, a leading enterprise-AI software company, builds AI applications for large global businesses. This is a customer-facing engineering role, not pre-sales with slides: you design, build and deploy full-stack production applications on the client’s AI platform — plus technical deep-dives, demonstrations, design reviews and training, in the room with the customer. Some travel to customer sites.
What we look for
- Solid full-stack experience: JavaScript with a modern framework (React, Vue or Angular) plus Python
- Deployment on at least one major cloud (AWS, Azure or GCP); comfortable with SQL and NoSQL
- Customer-facing confidence — able to run a technical session with a client’s engineers and executives
- STEM degree or equivalent practical grounding in data structures and algorithms
- Nice to have: working ML understanding; time-series data work; domain experience in energy, manufacturing, financial services, telecoms, healthcare or public sector
Engagement
£500/day · 6 months initial with likely extension · inside IR35 per the client’s status determination · start ASAP. Every candidate is technically vetted by an ARC principal architect before going forward. Applicants must have the right to work in the UK — no sponsorship is available for these roles.
Send us your details.
Two minutes. CV as PDF or Word, max 5 MB — or just your LinkedIn profile. Every application is read by a principal architect, not a keyword filter.