Machine learning engineer Work, Jobs in Great Yarmouth (with Salaries)

AI Staff Engineer
Epos Now —Norwich
- £50,000 - £60,000 a year
- Full-time
- AWS
13d
Digital Operations & AI Coordinator (Part-Time)
Nomaz Limited T/A Online Chemist —Gorleston-on-Sea
- From £12.71 an hour
- Part-time
- Computer Science
- JavaScript
- In-person
- Free parking
- Employee discount
Quick apply
Automation Engineer
Artlist —Norwich
- Full-time
- AWS
- JavaScript
- APIs
Quick apply
✨✨Internal Opportunity - PR Co-ordinator (AI -First)✨✨
Epos Now —Norwich
- £28,000 - £32,000 a year
- Full-time
- IT
- AI
- Communication skills
Data Engineer
Saffron Housing Trust —Norwich
- £63,000 a year
- Full-time
- Azure
- Computer Science
- Engineering
1d
Pharmacy Technician
East of England Community Health and Care NHS Trust —Norwich
- £32,073 - £39,043 a year
- Part-time
- AI
10d
Product Manager
Artlist —Norwich
- Full-time
- Product management
- Agile
- AI
Quick apply
Customer Analyst
Naked Wines —Norwich
- £50,000 - £60,000 a year
- Full-time
- Hybrid work
- SQL
- Analysis skills
- IT
- Annual leave
Quick apply
Software Engineer Norwich
Epos Now —Norwich
- £35,000 - £45,000 a year
- Full-time
- English
- SQL
- AWS
AI Platform Engineer - Autonomous Agents
Glassbox Ltd. —Norwich
- Remote
- DevOps
- Master's degree
- APIs
Quick apply
Product Marketing Manager
Epos Now —Norwich
- £55,000 - £65,000 a year
- Full-time
- Marketing
- Bachelor's degree
- AI
Category Manager
Evaro —Norwich
- £55,000 - £60,000 a year
- Remote
- Microsoft Excel
- Analysis skills
- Product management
- Annual leave
Software Developer (.NET/AWS)
Verisk —Norwich
- Full-time
- SQL
- AWS
- JavaScript
- Annual leave
- Life insurance
Software Developer (.NET/AWS)
Ignite Insurance Systems —Norwich
- Full-time
- SQL
- AWS
- JavaScript
- Annual leave
- Life insurance
AI Platform & Infrastructure Lead
Naked Wines —Norwich
- £70,000 - £80,000 a year
- Full-time
- Hybrid work
- AWS
- AI
- Annual leave
Quick apply
4d
Full-stack Developer (Backend orientation)
Artlist —Norwich
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
Quick apply
Platform Engineer IC4
Epos Now —Norwich
- £32,000 - £40,000 a year
- Full-time
- AWS
- APIs
- In-person
Senior DevOps Engineer
Verisk —Norwich
- Full-time
- Azure
- Computer Science
- DevOps
- Annual leave
- Life insurance
6d
Head of Cloud
Epos Now —Norwich
- £70,000 - £80,000 a year
- Full-time
- DevOps
- AWS
- APIs

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Based on your search for machine learning engineer jobs.

Business Intelligence Analyst
OCS Group —Ipswich
Ensure the maintenance of up-to-date and accurate vendor information across all systems that hold vendor data. Advanced Level Excel and Power Bi.
Quick apply
AI Software Engineer
SOUTHERN COMMUNICATIONS LIMITED —Melton
Work within a small agile team to solve technical challenges, develop new functionality and make non-functional improvements to our products and services.
£25,000 - £35,000 a year
Quick apply
13d

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machine learning engineer jobs near great yarmouth

AI Staff Engineer

Epos Now -
Norwich

Apply Now

Job details

Full-time
£50,000 - £60,000 a year
13 days ago

Qualifications

Law
AWS
SDKs
GitLab

Full job description

Location: Norwich Office or Sofia office
Reports to: SVP Engineering
Type: Permanent, full-time
Level: Staff IC
Why we're hiring
We've got an AI strategy with two pillars: making our own teams faster, and shipping AI into
our platform. Adoption is moving. Funding is in place. OpenAI, Cursor, Claude Code, and
Bedrock are all live in some form.
What we don't have is a single person who owns the platform underneath all of it. That's this
role.
You'll build and run the shared platform we use for AI: model access, cost governance,
evaluation, safety. When a squad says "we should use AI for that", they shouldn't have to
start from scratch.
What you'll own
The AI gateway. A paved way for engineers and product squads to use the AI tools we've
picked. Consistent auth, logging, fallbacks, and cost attribution.
Bedrock and AgentCore. Lead our adoption. We're evaluating AgentCore for agentic
workloads now. You'll take it through to production: architecture, cost model, integration with
the rest of our AWS estate.
Cost governance. Per-tribe visibility. Alerts before the bill, not after. Tied to where the
spend is paying off and where it isn't.
Evaluation. A standard way to test AI tools and features, and to catch regressions when
models change underneath us.
Safety. Prompt injection, PII, output filtering, audit trails. Pragmatic, proportionate to the
risk, not bureaucratic.
Adoption. Building the platform isn't enough on its own. You'll work with EMs and Staff
engineers across all five tribes to make sure it gets used, and the patterns we learn get
spread.
The AI Guild. A cross-tribe group that decides what we adopt, what we retire, and what's
worth experimenting with next. You'll run it.
Success metrics. Define what good looks like for internal AI tooling (cycle time, defect rate,
time saved) and for product AI features (quality, latency, cost per request, customer
outcome).
What success looks like
By six months

AI gateway in production, used by at least one internal tool and one product feature.
Cost dashboard in production. EMs can see what their tribe is spending.
AgentCore and Bedrock evaluation done. A clear go / no-go with production evidence

behind it.

First evaluation suite running against real AI features.
AI Guild meeting regularly with people from all five tribes turning up.

By twelve months

All product AI features go through the gateway. No squad is rolling its own.
Every team shipping AI uses the standard eval pattern.
AI spend is predictable and tied to value. Not necessarily lower; governed.
Measurable cycle-time gains on at least two engineering workflows we can attribute

to internal AI tooling.

RapidAI use cases shipping through the platform.

By two years

AI is a normal engineering capability, not a special programme. New features take

days to wire up, not weeks.

We can swap models without rewriting product features.
AI cost, latency, and eval data show up in engineering decisions the same way DB

performance does today.
What we want from you
We care about how you think and what you've shipped. That said:

You ship. You write code, dashboards, and runbooks that other engineers use.

You're not someone who'll spend three months on a strategy deck.

You think in platforms. You build the version that works for everyone, not a

bespoke solution for each squad.

You can hold a room. Staff engineers in the morning, a VP in the afternoon. You can

explain the same trade-off to both without losing either.

You've changed your mind about AI before, based on evidence. You can tell us

about a use case where AI didn't pay off.

You know the unit economics. You can tell the difference between "AI is

expensive" and "this pattern is expensive, here's a cheaper one".

You understand the benefits and the risks of an AI first approach running at scale.

Tradeoffs between public models and self hosted solutions

You know Bedrock in production. We're an AWS shop and Bedrock is our strategic

substrate. You should already have the IAM, VPC, throughput, and observability
scars. AgentCore experience is a big plus given where we're going.
Useful, not required

AgentCore in production, or a comparable agent runtime (LangGraph Platform,

Vercel AI SDK, in-house)

Built or operated an LLM gateway
Built or run an eval framework in production
Owned cost governance on a meaningful AI workload
Shipped customer-facing AI and handled the security and legal conversations that

come with it

Run a Cursor or Copilot rollout and know what made adoption stick
Background in Platform, DevEx, ML Platform, or Applied AI. We're open.

How we work

5 engineering tribes (Money, POS, Business, Data, Platform), ~120 engineers.
Offices in Norwich and Sofia.
AWS-native. GitLab. Slack-first.
OpenAI, Cursor, Claude Code, are in real use. AWS RapidAI funding is unlocking

customer-facing AI work.

UK fintech SaaS scale-up. Sales-led, cashflow-conscious, willing to invest where the

upside is real.

You'll report directly to me. Clear remit, exec sponsorship, the air cover to make

decisions stick.

Apply Now

Refine Your Search

machine learning engineer jobs in great yarmouth

AI Staff Engineer

Digital Operations & AI Coordinator (Part-Time)

Automation Engineer

✨✨Internal Opportunity - PR Co-ordinator (AI -First)✨✨

Data Engineer

Pharmacy Technician

Product Manager

Customer Analyst

Software Engineer Norwich

AI Platform Engineer - Autonomous Agents

Product Marketing Manager

Category Manager

Software Developer (.NET/AWS)

Software Developer (.NET/AWS)

AI Platform & Infrastructure Lead

Full-stack Developer (Backend orientation)

Platform Engineer IC4

Senior DevOps Engineer

Head of Cloud

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