Job Description

Senior Machine Learning Engineer (AI/ML Focus)

Work Mode:

Fully Remote (UK-Based)

Salary Package:

90,000 per annum

Key Responsibilities

Lead the end-to-end development

of scalable AI/ML solutions--from research and prototyping to deployment and monitoring--solving complex business problems.

Design, build, and maintain robust ML pipelines and APIs

, ensuring seamless integration of models into production systems and applications.

Spearhead projects across key AI domains

, including

NLP, Computer Vision, and Generative AI

(e.g., LLMs, RAG applications), to deliver measurable impact.

Establish and champion MLOps best practices

, leveraging tools like

Docker, Kubernetes, MLflow, and Azure

to ensure model reproducibility, scalability, and automated CI/CD workflows.

Collaborate cross-functionally

with Data Engineering, Product, and DevOps teams to align AI initiatives with business goals and architectural standards.

Mentor junior data scientists/engineers

and contribute to the team's technical strategy and knowledge base.

Required Qualifications

5+ years of professional experience

in building, deploying, and maintaining production-grade AI/ML systems.

Expert proficiency in Python

and core ML libraries (

PyTorch/TensorFlow, scikit-learn, pandas

). [Note: Removed Django/Flask from "strong proficiency" - see below]*.

Proven hands-on experience

in at least two of the following:

Deep Learning, NLP, Computer Vision, or Generative AI/LLM applications

.

Solid experience with modern MLOps tooling

:

Docker, Git, CI/CD

, and at least one major cloud platform (

Azure

preferred; AWS/GCP acceptable).

Strong foundation in software engineering

for production: version control, testing, APIs, and familiarity with databases (SQL).

Excellent problem-solving skills

and the ability to communicate complex technical concepts to non-technical stakeholders.

Bachelor's or Master's degree

in Computer Science, Data Science, or a related quantitative field, or equivalent practical experience.

Preferred Skills & Assets

Direct experience with Generative AI tech stacks

(e.g.,

LangChain, RAG architectures, LLM fine-tuning and deployment

) is a

significant advantage

. Experience with data pipeline/orchestration tools (

Apache Spark, Airflow, dbt

). Knowledge of container orchestration (

Kubernetes

) and model lifecycle management (

MLflow

). A portfolio of projects, contributions to open-source ML projects, or relevant publications.
Job Types: Full-time, Permanent, Graduate

Pay: 30,106.44-100,006.78 per year

Benefits:

Private medical insurance Work from home
Work Location: Remote