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Jobgether

Go Developer - AI & ML

United Kingdom
Posted about 13 hours ago
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Go Developer - AI & ML

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Go Developer - AI & ML based in United Kingdom.

This role offers the opportunity to develop innovative cloud-based artificial intelligence and machine learning solutions within a fully remote, international engineering environment.

You will contribute to building scalable platforms that empower developers and businesses to leverage advanced cloud technologies.

The position combines Go development expertise, machine learning infrastructure, Kubernetes, and cloud-native engineering.

You will work on impactful products that improve how AI and ML workloads are deployed, managed, and scaled.

Collaborating with experienced engineers and cross-functional teams, you will help shape reliable, high-performance solutions.

This is an ideal opportunity for a developer passionate about AI, distributed systems, and building the future of cloud infrastructure.

Accountabilities

The Go Developer - AI & ML will design, develop, and maintain scalable software solutions supporting artificial intelligence and machine learning services. The role requires strong engineering skills, a focus on performance and reliability, and the ability to collaborate in a remote-first environment.

  • Develop and maintain efficient, scalable Go code for machine learning components within a cloud platform.
  • Design and improve AI and ML-related services, ensuring reliability, performance, and maintainability.
  • Apply concurrency patterns such as goroutines and channels to optimize application performance.
  • Build, test, and optimize software solutions using modern engineering practices.
  • Work closely with product managers, designers, and engineering teams to translate requirements into technical solutions.
  • Improve code quality through refactoring, documentation, optimization, and implementation of best practices.
  • Participate in code reviews and provide constructive feedback to support engineering excellence.
  • Troubleshoot and resolve complex technical issues across distributed cloud environments.
  • Stay current with Go language developments, libraries, frameworks, and emerging technologies.
  • Contribute to the evolution of AI and machine learning services, including existing platforms and new product initiatives.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Requirements

The ideal candidate is a skilled software engineer with experience in Go development, cloud technologies, and machine learning systems. You should be comfortable working with distributed architectures and collaborating within a global remote team.

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
  • 4+ years of professional software development experience, with strong experience in Go preferred.
  • Proven experience working with containerization technologies such as Docker and Kubernetes.
  • Experience deploying machine learning solutions in production environments.
  • Experience developing Kubernetes Operators.
  • Strong understanding of API design and development principles, including RESTful APIs.
  • Ability to write clear technical documentation and communicate effectively with engineering teams.
  • Experience working in asynchronous Agile software teams is a plus.
  • Experience building and training machine learning models is highly valued.
  • Familiarity with WebSockets, microservices architectures, and distributed systems is beneficial.
  • 2+ years of experience with Python or R is a plus.
  • Experience with web development frameworks such as Gorilla, Gin, or Echo is advantageous.
  • Previous experience working in fully remote organizations is preferred.

Benefits

  • Competitive compensation and benefits package.
  • Fully remote work environment with flexibility to work from anywhere.
  • Four-day work week culture, except when attending company events.
  • Uncapped holiday allowance.
  • Opportunity to work on innovative AI, machine learning, and cloud infrastructure projects.
  • Collaborative and inclusive culture focused on creativity, diversity, and continuous improvement.
  • Chance to contribute to impactful technology in a fast-growing cloud ecosystem.
  • Supportive environment with opportunities for professional growth and learning.

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How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Skills

Go
Artificial Intelligence
Machine Learning
Kubernetes
Docker
Cloud-native Engineering
Distributed Systems
API Design
RESTful APIs
Python
R
Microservices
WebSockets
Kubernetes Operators
Agile
Cloud Infrastructure

Location

United Kingdom

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