data scientist Work, Jobs in erskine, rfw (with Salaries)

Machine Learning Ops Engineer
DXC Technology —Erskine
- Full-time
- Azure
- SQL
- Machine learning
Managing Data Scientist
Barclays —Glasgow
- Azure
- AWS
- Analysis skills
Lecturer in Statistics (Health/Medical; Data Science)
University of Strathclyde —Glasgow
- £47,389 - £58,228 a year
- Full-time
- Teaching
Data Scientist – Data & Analytics Products
Experian —Glasgow
- Full-time
- Hybrid work
- Azure
- Data analysis skills
- SQL
- Annual leave
Quick apply
5d
Software Engineer III (AI-Powered)
Planet DDS —Glasgow
- Hybrid work
- DevOps
- Agile
- AI
- Annual leave
- Referral programme
Machine Learning Engineer
Barclays —Glasgow
- Azure
- AWS
- Machine learning
AI Engineer II
Zonda Home —Glasgow
- £55,000 a year
- Full-time
- Computer Science
- Engineering
- Master's degree
Quick apply
Applied AI ML Lead - Python & Agentic AI
JPMorganChase —Glasgow
- Full-time
- Java
- Master's degree
- AWS
9d
Senior / Staff Machine Learning Scientist
Chemify Ltd —Glasgow
- Full-time
- Azure
- Doctoral degree
- AWS
Quick apply
Associate Controls Analyst (Defence)
AECOM —Glasgow
- Full-time
- Hybrid work
- PMP
- Engineering
- Data analysis skills
Project Controls Analytics Consultant (Defence)
AECOM —Glasgow
- Full-time
- Hybrid work
- Microsoft Excel
- PMP
- Engineering
Sr. AI Infrastructure Engineer
Lenovo —Renfrew
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Life insurance

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data scientist jobs near erskine, rfw

Machine Learning Ops Engineer

DXC Technology -
Erskine

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Job details

Full-time

Qualifications

TensorFlow
Azure
PyTorch
Software deployment
NumPy
Git
SQL
Pandas
Machine learning
Continuous improvement
Keras
Python

Full job description

Job Description:

DXC Technology is committed to building diverse, inclusive teams. We welcome applications from all backgrounds and particularly encourage interest from women, underrepresented groups, and neurodivergent candidates. We offer reasonable adjustments throughout the hiring process and are dedicated to creating a supportive, accessible environment for everyone.

Machine Learning Ops Engineer

Location: Erskine or Newcastle

Hybrid working applies - 2/3 days in the office

Candidates are required to be eligible for clearance and be a sole UK national

Are you passionate about bringing machine learning solutions into real-world production environments? Do you enjoy collaborating with others to build scalable, reliable systems? We are looking for a Machine Learning Ops Engineer to join our growing team. This role is ideal for someone who enjoys solving complex problems, working cross-functionally, and continuously developing their technical expertise in a supportive environment. If you don’t meet every single requirement listed below, we still encourage you to apply. We value potential, curiosity, and a willingness to learn.

Key Responsibilities

Deploying, monitoring, and scaling machine learning models in production.
Collaborating with data scientists, engineers, and stakeholders to integrate AI solutions into scalable products.
Supporting the full ML lifecycle, from experimentation to deployment and optimisation.
Applying best practices in data engineering and contributing to architectural decisions.
Using modern MLOps tools and CI/CD approaches to improve reliability and efficiency.
Contributing to a culture of knowledge-sharing and continuous improvement.

Key Skills & Experience

Strong Python skills and familiarity with ML libraries such as Pandas, NumPy, and scikit-learn.
Experience with frameworks such as TensorFlow, Keras, or PyTorch.
Exposure to gradient boosting tools such as XGBoost, LightGBM, or CatBoost.
Experience with model deployment tools (e.g., ONNX, TensorRT, TensorFlow Serving, TorchServe).
Familiarity with ML lifecycle tools such as MLflow, Kubeflow, or Azure ML Pipelines.
Experience working with distributed data processing (e.g., PySpark) and SQL.
Understanding of software engineering best practices, including version control (Git).
Knowledge of CI/CD principles in ML environments.
Experience with cloud-native ML platforms is advantageous.

Why Join Us

Be part of a cutting-edge AI community driving digital transformation across the UK&I.
Work at the intersection of business innovation and emerging AI technologies.
Opportunity to shape the future of AI adoption within some of the UK’s most impactful industries.
Collaborative, forward-thinking environment with continuous learning and development opportunities.

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf.

Apply Now

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data scientist jobs in erskine, rfw

Machine Learning Ops Engineer

Managing Data Scientist

Lecturer in Statistics (Health/Medical; Data Science)

Data Scientist – Data & Analytics Products

Software Engineer III (AI-Powered)

Machine Learning Engineer

AI Engineer II

Applied AI ML Lead - Python & Agentic AI

Senior / Staff Machine Learning Scientist

Associate Controls Analyst (Defence)

Project Controls Analytics Consultant (Defence)

Sr. AI Infrastructure Engineer

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