trg.recruitment

3 Jobs

52 Employees

About the Company

trg. is a community driven recruitment agency. We empower individuals and businesses by fostering meaningful connections within the tech industry.

We specialise in Agile, Data, Engineering, DevOps, Product, Design & UX. Based in London, UK, covering EMEA and North America.

We have our communities - The Roundabouts and HerStory

Listed Jobs

Company Name: trg.recruitment
Job Title: Senior Machine Learning Engineer
Job Description: **Senior Machine Learning Engineer** **Role Summary** Lead the design and implementation of ranking, recommendation, and personalization systems. Shape machine learning (ML) strategy, establish best practices for model development and deployment, and integrate ML capabilities into product workflows. Own end-to-end infrastructure for recommendations, collaborating across engineering, product, and data teams. **Expectations** First dedicated ML hire; responsible for defining scalable ML architecture and driving innovation from zero to one. Requires hands-on experience in large-scale data systems, generative AI applications, and model optimization for production environments. **Key Responsibilities** - Design and build scalable recommendations infrastructure - Develop and optimize ranking/personalization models using LLMs, embeddings, and RAG techniques - Define ML governance for experimentation, evaluation, and monitoring - Partner with cross-functional teams to align ML solutions with product goals - Process and analyze large-scale user behavioral datasets **Required Skills** - 5+ years ML engineering expertise - Proven production experience with ranking/personalization systems - Generative AI implementation (LLMs, embeddings, RAG, semantic understanding) - Python and modern ML frameworks (e.g., TensorFlow, PyTorch) - Cloud ML infrastructure (GCP preferred), BigQuery, dbt **Required Education & Certifications** None specified in the job description.

London, United kingdom

Hybrid

Senior

18-03-2026

Company Name: trg.recruitment
Job Title: DevOps Engineer
Job Description: **Job Title:** DevOps Engineer (Contract) **Role Summary:** Hands‑on engineer to take full ownership of a partially built AWS cloud environment, stabilize and mature the platform, and enable rapid delivery of AI‑driven products. Works independently in a fast‑moving, imperfect setting with strong focus on automation, security, and scalability. Initial 6‑month term with high likelihood of extension. **Expectations:** - Proven expertise in AWS (core requirement). - Ability to design, build, and scale infrastructure from scratch. - Strong command of Kubernetes on AWS, Terraform, and Argo CD CI/CD pipelines. - Comfortable operating autonomously in a dynamic, low‑structure environment. - Demonstrated interest and engagement with AI tooling and AI‑enabled product development. **Key Responsibilities:** - Own and manage the AWS platform, improving performance, reliability, and cost‑efficiency. - Develop and maintain Terraform‑based IaC and Kubernetes clusters on AWS. - Design, implement, and operate Argo CD‑driven CI/CD pipelines for new AI product releases. - Support deployment and integration of AI components (LLMs, workflow automation, voice tech). - Define and execute incident response, support triage, and operational processes as the organization scales. - Contribute to security and compliance initiatives (SOC 2, ISO 27001). - Collaborate on GCP prototyping efforts and data platform decisions (Snowflake/Databricks). **Required Skills:** - Deep AWS architecture and operations expertise. - Kubernetes orchestration on AWS. - Terraform for infrastructure‑as‑code. - Argo CD and CI/CD pipeline development. - Experience building cloud platforms from the ground up. - Proactive problem‑solving in ambiguous, fast‑paced environments. - Familiarity with AI tooling and modern development assistants. - Nice‑to‑have: GCP exposure, DevSecOps (vulnerability management, platform hardening), Snowflake or Databricks, consultancy or professional services background. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience). - Preferred certifications: AWS Certified Solutions Architect – Professional, AWS Certified DevOps Engineer – Professional, or similar cloud credentials. - No specific certification required for AI tools, but demonstrable hands‑on experience is essential.

London, United kingdom

Hybrid

Senior

17-03-2026

Company Name: trg.recruitment
Job Title: Artificial Intelligence Engineer
Job Description: Artificial Intelligence Engineer Role Summary: Apply cutting-edge AI research to develop scalable solutions for education technology, focusing on LLM-powered content generation, semantic search, and machine learning systems. Expectations: 5+ years backend engineering experience, production experience with LLMs and ML frameworks, proficiency in Python/TypeScript for APIs/microservices, AWS deployment, and MLOps. Key Responsibilities: Develop and optimize AI models for educational applications; implement and fine-tune ML/LLM systems; design and maintain APIs/microservices; deploy models using AWS and MLOps practices; integrate AI into semantic search and content generation tools. Required Skills: Python, TypeScript, MLOps, Model Fine-tuning, PyTorch, TensorFlow, scikit-learn, AWS. Required Education & Certifications: Bachelor’s or Master’s degree in Computer Science or related technical field.

London, United kingdom

Hybrid

Mid level

18-03-2026