Senior Monitoring Engineer - London, United Kingdom - Xcede Recruitment Solutions

Description

What makes analytics engineer roles unique in the tech industry?
Analytics engineers stand out because they bridge the gap between data engineers and data scientists.

They possess a blend of skills that allows them to not only collect and organise data but also prepare it for analysis.

This hybrid role is increasingly crucial as businesses demand more actionable insights from their data.

Proficiency in programming languages such as SQL, Python, and R is essential for building and maintaining data pipelines, performing data analysis, and automating data processes.

Yes, many analytics engineers come from other tech roles, such as software developers or data analysts. The key is to develop a strong foundation in data handling, programming, and analytical thinking. Any industry that relies on data to make informed decisions is likely to hire analytics engineers.
What are some tips for landing an analytics engineer job?
Building a solid portfolio of projects that showcase your data engineering and analysis skills is crucial.

Networking, staying updated with industry trends, and continuously learning new tools and technologies can also significantly improve your job prospects.

Xcede are excited to be partnering with a major FinTech organisation who are looking for a Lead Data Scientist.

You will work across all business areas and will manage several projects simultaneously, allowing the opportunity to work across a range of tools and technologies.

This is an end to end role, so you will work across all elements of the Data Science lifecycle:
R&D, scoping, ML model building, feature selection, deployment and monitoring.

It is worth noting that the team are embarking on a range of Generative AI projects, so lots of interesting cutting edge technology to be working on.

You will be required to managed a team of 3-4 Data Scientist's whilst remaining hands on.
A degree in STEM subject, ideally a Master's or PhD.
~2+ years' experience managing a small Data Science team
~ Understanding of machine learning techniques including linear models and tree-based methods / clustering / unsupervised ML techniques
~ ML model deployment and scalability experience including ML Ops
~ Experience developing ML solutions to Cloud (AWS/GCP/Azure)
~ Excellent grasp of Python/SQL + machine learning core libraries
~ Great scientific thinking, the ability to design effective experiments which help us learn about new problems in the most efficient way
~ Good knowledge of software development best practices
~ Lead Data Scientist, Data Science, Machine Learning, Python, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, FinTech, ML Ops, NLP, Deep Learning, Neural Networks, Deployment, Containerisation, Generative AI, LLMs, large language models
London (hybrid - 1 day a week in the office minimum)

Xcede are excited to be partnering with an AI focused Tech company who are looking to add to their Data Science team.

They are looking for an NLP focused ML Engineer who is experienced in building models and deploying them.

Their cutting edge product is NLP focused, so you would have the opportunity to work on lots of unstructured data and make an impact with their Financial Services clients.

They have lots of exciting projects working on Large Language Models.
Solid experience building ML models
~ Experience developing ML solutions to Cloud (AWS ideally)
~ Excellent grasp of Python/SQL + machine learning core libraries
~ Some experience/interest in Computer vision is nice to have
~ Experience building Large Language Models (LLMs) is nice to have

Machine Learning Engineer, Data Scientist, Data Science, Machine Learning, Python, NLP, Natural Language Processing, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, FinTech, ML Ops, Deep Learning, Neural Networks, Deployment, Containerisation, Generative AI, LLMs, large language models
London (hybrid - 2 days a week in the office minimum)

Xcede are excited to be partnering with an AI focused Tech company who are looking to hire a talented individual to Lead Their Data Science/Machine Learning team.

They are looking for an NLP focused Data Scientist who is experienced in building models and deploying them, and can lead a team of up to 4 people.

Their cutting edge product is NLP focused, so you would have the opportunity to work on lots of unstructured data and make an impact with their Financial Services clients.

They have lots of exciting projects working on Large Language Models.
Solid experience building ML models
~ Experience developing ML solutions to Cloud (AWS ideally)
~ Excellent grasp of Python/SQL + machine learning core libraries
~ Some experience/interest in Computer vision is nice to have
~ Experience building Large Language Models (LLMs) is nice to have

Machine Learning Engineer, Data Scientist, Data Science, Machine Learning, Python, NLP, Natural Language Processing, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, FinTech, ML Ops, Deep Learning, Neural Networks, Deployment, Containerisation, Generative AI, LLMs, large language models
They are looking to hire a Data Engineer to take lead on one major business critical project.

As the main Data Engineer, you will be responsible for scaling a delivery planning optimisation system in a GCP environment.

You will be the main referent for all things Data Engineering, so we are looking for someone who is a self-starter with demonstrated experience.

Degree in Computer Science or equivalent from reputable University
~4-6 years' experience as a Data Engineer preferably at a start-up
~ Extensive Python coding experience
~ Strong experience working in a cloud environment (GCP or AWS)
~ Solid skills with modern data stack and related techniques
~ Ability to work independently and own all aspects of a project
~ Passionate about building scalable systems
~ Dublin based - hybrid working (circa 1-2 days per week in office)

Xcede are excited to be partnering with a major Insurance company in Ireland who are expanding their Data Science function.

They are looking for a Data Scientist to join the team and work on building their predictive pricing models, including deploying/scaling them.

There are lots of exciting projects on the horizon in 2024.
3+ years industry experience working as a Data Scientist
~ Experienced in using end-to-end Data Science techniques to drive business outcomes
~ Understanding of machine learning techniques including linear models and tree-based methods / clustering / unsupervised ML techniques
~ Excellent grasp of Python and surrounding libraries, and strong ability to write production ready code
~ Great scientific thinking, the ability to design effective experiments which help us learn about new problems in the most efficient way
~ Cloud experience is an advantage (AWS, Azure)
~ Senior Data Scientist, Pricing, Data Science, Machine Learning, Python, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, Insurance, ML Ops, Deployment, Containerisation
Dublin based - hybrid working (circa 1-2 days per week in office)

Xcede are excited to be partnering with a major Insurance company in Ireland who are expanding their Data Science function.

They are looking for a Senior Data Scientist to join the team and work on building their predictive pricing models, including deploying/scaling them.

There are lots of exciting projects on the horizon in 2024.
5+ years industry experience working as a Data Scientist
~ Experienced in using end-to-end Data Science techniques to drive business outcomes
~ Understanding of machine learning techniques including linear models and tree-based methods / clustering / unsupervised ML techniques
~ Excellent grasp of Python and surrounding libraries, and strong ability to write production ready code
~ Great scientific thinking, the ability to design effective experiments which help us learn about new problems in the most efficient way
~ Cloud experience is an advantage (AWS, Azure)
~ Senior Data Scientist, Pricing, Data Science, Machine Learning, Python, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, Insurance, ML Ops, Deployment, Containerisation

Xcede are excited to be partnering with a major Insurance organisation who are looking to hire an experienced Data Scientist to join their talented team.

This is a great opportunity to own projects from end-to-end and have a real business impact.
Experience driving commercial outcomes through Data Science
Extensive Python and libraaries experience (e.g. pandas, numpy, scikit-learn)
AWS/Azure)
Data Scientist, Data Science, Machine Learning, Python, Computer Science, Statistics, Data pipelines, SQL, Forecasting, Pricing, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, Neural Networks, Deployment, Containerisation
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