At a Glance
- Tasks: Lead the migration of ML capabilities to Snowflake and optimise existing models.
- Company: Dynamic tech company with a focus on innovation and inclusivity.
- Benefits: Competitive daily rate, hybrid remote work, and supportive environment.
- Other info: Diverse community welcoming applicants from all backgrounds.
- Why this job: Join a cutting-edge project and make a real impact in machine learning.
- Qualifications: Experience with Snowflake ML, Python, and MLOps best practices.
£700-750/day outside IR35
Remote working - once a month in Bristol
3-month initial contract
MUST have experience of ML in Snowflake.
Looking for a Machine Learning Engineer to lead a migration of ML capabilities from existing AWS Sagemaker to Snowflake ML - will need to proof out can existing ML models work in Snowflake. This role will also drive optimisation of ML capabilities within Snowflake.
Key skills:
- Strong hands-on experience with Snowflake ML
- Python expertise - Scikit-Learn, TensorFlow, Pytorch etc
- Strong understanding of model deployment
- MLOps - experienced in designing and implementing MLOps frameworks and best practices
- Strong stakeholder management
- AWS Sagemaker is a nice to have
- Experience with feature stores, model registries and ML observability tooling
Reasonable Adjustments: We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
Machine Learning Engineer - Hybrid Remote in Bristol employer: Sanderson Recruitment
Join a forward-thinking organisation that values diversity and inclusion, offering a dynamic work culture where your expertise in tax can truly shine. As the Head of Tax, you will not only lead a talented team but also play a pivotal role in shaping the tax strategy across North West Europe, with ample opportunities for professional growth and development. Enjoy a collaborative environment that prioritises employee well-being and fosters meaningful contributions to the business's long-term success.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - Hybrid Remote in Bristol
✨Showcase Your Skills with a Public Portfolio
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Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
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We think you need these skills to ace Machine Learning Engineer - Hybrid Remote in Bristol
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Machine Learning Engineer - Hybrid Remote at Sanderson Recruitment, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at Sanderson Recruitment.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at Sanderson Recruitment
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!