Job Specifications
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Machine Learning Engineer in the United Kingdom.
This role offers the chance to lead the development of scalable AI-powered solutions in highly regulated industries, such as finance, legal, or healthcare. You will work in a global engineering organization, designing, building, and deploying machine learning models and data pipelines, while collaborating with cross-functional teams, cloud specialists, and stakeholders. The role combines hands-on development with technical leadership, mentoring junior engineers, and shaping best practices across the team. You will leverage cloud technologies, particularly AWS, and production-grade ML frameworks to deliver impactful solutions. This position is fully remote, with opportunities to influence the engineering culture and contribute to high-value AI projects at scale.
Accountabilities:
Design, implement, and deploy scalable ML models and data pipelines to address complex business challenges
Translate business requirements into technical ML solutions using appropriate algorithms, models, and tools
Develop cloud-native ML solutions on AWS, leveraging services such as SageMaker, Lambda, S3, and Redshift
Maintain CI/CD pipelines and Infrastructure-as-Code workflows using Terraform or CloudFormation
Collaborate with product teams, data scientists, DevOps, and external cloud partners to ensure reliable and efficient ML services
Lead, mentor, and coach mid-level and junior engineers to foster a culture of excellence and continuous improvement
Ensure models meet performance, accuracy, and compliance standards, maintaining thorough documentation throughout the ML lifecycle
Requirements
4-6 years of hands-on experience in machine learning engineering or data science roles
Proven success in building and deploying ML/AI solutions at scale, ideally in regulated sectors (finance, legal, healthcare)
Strong programming skills in Python and proficiency with libraries such as scikit-learn, pandas, NumPy, and at least one deep learning framework (TensorFlow or PyTorch)
Hands-on experience with AWS cloud services, particularly SageMaker, and familiarity with other services like Lambda, S3, Redshift, and CloudWatch
Knowledge of CI/CD practices, Docker, and Infrastructure-as-Code tools such as Terraform or CloudFormation
Solid understanding of MLOps principles and how to productionize ML systems effectively
Experience leading small teams or mentoring engineers in a collaborative, agile environment
Strong communication skills, with the ability to explain ML concepts to technical and non-technical stakeholders
Based in the UK with legal authorization to work in the country
Preferred / Nice-to-have:
Experience in legal tech, contract analytics, or financial modelling using NLP, classification, or predictive models
Exposure to MLOps tools like MLflow, Kubeflow, or Apache Spark
Relevant certifications such as AWS Certified Machine Learning - Specialty or TensorFlow Developer
Experience working with geographically distributed, cross-functional teams
Benefits
Competitive salary up to £80,000 per year, plus company benefits
25 days of holiday plus bank holidays
Life assurance, private medical insurance, and dental coverage
Health assessments and discounted gym memberships
TechScheme for salary sacrifice schemes on gadgets and household appliances
Cycle-to-work scheme
Referral program and career development opportunities
Fully remote work with global team collaboration
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
It compares your profile to the job's core requirements and past success factors to determine your match score.
Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.
When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company. Final decisions, interviews, and assessments are then handled by their internal hiring team.
Thank you for your interest!
About the Company
Your future of work, like you've always dreamt it, is now possible with Jobgether !
The Covid crisis has accelerated its revolution but work, as we knew it, doesn't exist anymore.
Tomorrow, jobs will be hybrid, remote and asynchronous. Flexibility will be the norm.
Jobgether helps you find your next remote job, wherever you are.
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