At a Glance
- Tasks: Design and implement AI/ML solutions, manage data infrastructure, and optimise data processing.
- Company: Join an award-winning tech firm with a focus on security and innovation.
- Benefits: Competitive salary, remote work flexibility, and opportunities for professional growth.
- Other info: Dynamic, inclusive workplace with excellent career advancement opportunities.
- Why this job: Make a real impact in AI/ML while working with cutting-edge technologies.
- Qualifications: 5+ years in data engineering, strong Python skills, and experience with AWS services.
The predicted salary is between 63000 - 77000 £ per year.
Our government client is looking for candidates who have at least one production AI/ML implementation, recent experience with AWS data services, Terraform, CI/CD, Python, and SQL.
Candidates should have more than five years of overall experience and meet the other requirements outlined in the attached JD.
Inside IR35.
Monthly travel to Swindon, mostly remote.
Initial 6 months + extensions.
Job Purpose
The BI Engineer will be responsible for the requirements analysis and design of solutions for data platform, ETL, integration and analysis solutions.
Our toolset includes AWS hosted databases (postgres, S3 based data lake, My SQL, Athena), integration services (AWS API gateway, lambda functions), ETL services (AWS Glue, Step functions, AWS Batch), infrastructure a management tool such as Terraform and extensive use of SQLs and python.
Key Responsibilities and Accountabilities
• Infrastructure Management
- Set up and manage data infrastructure, including clusters, servers, and cloud-based resources using Terraform.
- Monitor and optimize system performance, troubleshoot issues, and ensure system availability.
• Data Architecture and Design
- Design and implement scalable and efficient data pipelines, databases, and data warehouses.
- Collaborate with data visualization and analysts' teams to understand data requirements and translate them into technical specifications.
• Data Processing
- Develop and maintain ETL (Extract, Transform, Load) processes for ingesting data from various sources into the data infrastructure.
- Optimize data processing and storage for performance and cost-effectiveness.
• AI
- Develop and deploy AI/ML models into production environments.
- Build scalable inference pipelines and AI APIs.
- Implement MLOps workflows for model versioning, monitoring, and retraining.
- Collaborate with data scientists to productionize machine learning solutions.
- Evaluate and optimize AI model performance and operational efficiency.
• Database Management
- Manage and maintain databases, ensuring data integrity, security, and availability.
- Implement database schema changes and optimizations as needed.
• Collaboration
- Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to meet data requirements.
- Communicate effectively with stakeholders to gather requirements and provide updates on data engineering projects.
Skills
- Comfortable working in an Agile rapidly changing environment
- You will be an accomplished developer and BI Engineer, with excellent python skills.
- Experience with the infrastructure deployment tool such as terraform, CDK or cloud formation.
- Experience developing API based data integration.
- Excellent analytic skills associated with working on structured and unstructured datasets.
- Excellent SQL experience on various platforms (SQL, Postgres SQL, PL/SQL etc)
- Experience of several of My SQL, Oracle, SQL, Postgres, RDS, Aurora, Athena or other similar large scale database technologies.
- Experience working with AI framework such as Lang Chain / Llama Index
- Experience with Vector databases (Pinecone, Weaviate, FAISS)
This is an outline description of the key responsibilities and accountabilities involved in the job.
This is not an exhaustive list and the post-holder might be expected to undertake any other duties across the wider directorate, commensurate with the Band and level of responsibility of this post, for which the post holder has the necessary experience and/or training.
LA International is an award-winning partner of choice for many of the world's most influential companies and government organisations.
Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance.
A multiple award-winning organisation, having secured the prestigious Queens Award for
Enterprise: International Trade over consecutive years.
We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported.
We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply.
If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience.
Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.
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AI/ML Data Engineer in Swindon employer: Onyx-Conseil
Onyx-Conseil is an excellent employer for those seeking a dynamic and rewarding career in infrastructure engineering. With a strong focus on employee development, the company offers numerous growth opportunities, a collaborative work culture, and the chance to work on impactful projects in secure environments. Located in Salford, employees benefit from a vibrant community and access to cutting-edge technology, making it an ideal place for professionals looking to enhance their skills and contribute to meaningful projects.
StudySmarter Expert Advice🤫
We think this is how you could land AI/ML Data Engineer in Swindon
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Onyx-Conseil before they're even advertised!
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Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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We think you need these skills to ace AI/ML Data Engineer in Swindon
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Onyx-Conseil, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Onyx-Conseil, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Onyx-Conseil’s attention and show the tangible impact of your work.
How to prepare for a job interview at Onyx-Conseil
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Onyx-Conseil.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Onyx-Conseil.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Onyx-Conseil.
