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About YardLink:
We are a team on a mission to build the world’s best procurement platform for the construction industry. We’re re-imagining the supply chain for one of the largest yet least digitised sectors on the planet, to make ordering between contractors and suppliers easier, more efficient, and more cost effective.
As a team, we’re obsessed with understanding the people and companies that build the world around us. Our customers work incredibly hard to construct and maintain the homes, schools, offices and infrastructure we use every day. These projects are prone to critical delays and huge cost overruns, and we believe fixing the supply chain is a major solution.
Since our launch in 2018, we’ve served thousands of customers and projects across the UK. We’re growing quickly and are backed by fantastic investors, including leading venture capitalists and business angels, who share our vision.
About the Role:
As Data Analyst, you will be working directly with our CTO, commercial stakeholders and technical team to create &amp; maintain powerful, live, interactive BI reports. You will:
<ul>
<li>Together with CTO, be responsible for creation of key commercial &amp; BI reports &amp; data visualisations.</li>
<li>Be the data point of contact for stakeholders within the business, working with them to define and deliver requirements.</li>
<li>Work both collaboratively and independently dependant on requirements, good at time management.</li>
<li>Be proactive and creative to think of new and different ways to present data in a powerful way.</li>
</ul>
Requirements:
<ul>
<li>Confident / super user with Microsoft Excel, and querying SQL.</li>
<li>Commercial experience using Tableau or Looker to produce data visualisations.</li>
<li>Strong stakeholder management experience.</li>
<li>Experienced in best ways to present &amp; visualise commercial data.</li>
<li>Bonus
<ul>
<li>Working knowledge or an interest in modern data tools such as DBT would be beneficial.</li>
<li>Experience working with Data Studio</li>
</ul>
</li>
<li>
<ul>
<li>Experience working with BigQuery or Snowflake</li>
<li>Experience using programming languages such as R and/or Python</li>
<li>Experience using ML packages to classify / forecast</li>
</ul>
</li>
<li>Excited to collaborate &amp; support each other remotely. (We have hotdesking options if 100% remote is not your ideal)</li>
<li>Self-motivated with a strong sense of ownership. You understand that startups are unpredictable environments and are comfortable with a degree of chaos.</li>
<li>Team player and fit right into our culture of supporting and helping each other out</li>
<li>Worked in a fast paced scale-up environment</li>
<li>Excellent communication skills with the capability of working closely with cross-functional teams</li>
<li>Data driven and highly numerate with a strong attention to detail</li>
<li>Hybrid remote &amp; London office based role.</li>
</ul>
Why Join YardLink:
We’re a fast growing team dedicated to making YardLink a world class product for the construction industry. There’s plenty of opportunity for career growth, as you’ll be directly exposed to all areas of the business.
We offer a work atmosphere that encourages collaboration and support, and value everyone’s opinion so your voice will always be heard. We also offer a flexible work environment, a generous holiday policy and plan regular social events with the team.
If you’re interested, send us your CV with a cover note mentioning why you’d be great for this role!

Yardlink

Data Analyst (f/m/d)

<h3>Machine Learning Data Scientist</h3>
<h4>Location: Somerset House, London / flexible</h4>
Pimloc is recruiting for Data Scientists to support delivery of the current product roadmap and future technologies. This role includes a mixture of research, development and deployment activities, covering state-of-the-art machine learning models for object detection, segmentation, and tracking for numerous applications including video analytics and privacy. Data Scientists are members of the ML Team that report to the CTO, and perform a critical role in future IP development and generating capability to underpin Pimloc’s business growth.
<h4>Day to day responsibilities include:</h4>
<ul>
<li>
Design and implement algorithms and experiments to extract, merge, manage, and interrogate data, communicating results verbally and through reports.
</li>
<li>
Design and implement inference pipelines to gauge performances of ML models over varied domains including detailed metric evaluation and visualisations.
</li>
<li>
Provide input into the direction of the business and future product road maps.
</li>
<li>
Develop, support, and maintain the pipelines that underlie Pimloc’s ML technologies.
</li>
<li>
Communicate, liaise, and coordinate activities with Pimloc colleagues both within and outside the ML Team.
</li>
</ul>
<h4>The ideal candidate will have:</h4>
<ul>
<li>
Masters or PhD in a relevant field, ideally with industry experience.
</li>
<li>
Excellent theoretical grounding in statistics, probability, and computational modelling.
</li>
<li>
Extensive knowledge in ML and deep learning techniques
</li>
<li>
Experience with a broad range of supervised and unsupervised methods, e.g. random forests, support vector machines, linear/logistic regression, dimensionality reduction, clustering, ensemble methods, bootstrapping, maximum likelihood estimation, and Bayesian methods.
</li>
<li>
Fluency in Python.
</li>
<li>
Proficiency using Python numerical packages (e.g. NumPy, SciPy, scikit-learn).
</li>
<li>
Proficiency using Python data packages (e.g. PySpark, pandas).
</li>
<li>
Proficiency using Python visualisation packages (e.g. seaborn, matplotlib).
</li>
<li>
Experience using Python deep learning framework (e.g. TensorFlow, PyTorch).
</li>
<li>
Experience with software engineering practices, such as using version control and continuous integration.
</li>
<li>
Excellent communication skills with both technical and non-technical audiences.
</li>
<li>
Creativity and curiosity for solving highly complex problems.
</li>
<li>
A passion for data science and machine learning, learning new skills, and actively staying up to date with the latest research.
</li>
</ul>
<h4>What we offer</h4>
This is a great chance to join a young company with a dynamic culture, exciting market and outstanding technology backed by world class investors. We live by our brand values: Trusted, Independent, Ingenious and Eclectic.
<h4>About us</h4>
Founded in 2016, Pimloc is a British technology company on a mission to advance visual AI systems in the interests of people and their freedoms. The risks associated with video surveillance have fundamentally shifted - we unknowingly give away our freedom every time we walk down the street, enter a store, commute to work or watch a game. We are developing systems that will allow businesses to increase security without compromising personal privacy.
Pimloc’s technologies are powered by the latest developments in deep learning for the automated detection and redaction of personal information (PII) in video. Pimloc’s Secure Redact SaaS solution (<a href="https://www.secureredact.co.uk" target="_blank">www.secureredact.co.uk</a>) allows all businesses to anonymise personal data in video so that it can be processed for security and analytics whilst still protecting privacy. This can be used for specific compliance requests to create anonymised video clips of incidents, or to anonymise live video streams for wider sharing and analytics. 
Pimloc is currently working across diverse sectors including: entertainment venues, retail, hospitality, education, manufacturing, transport, healthcare, law enforcement and local government. These sectors are relying on Pimloc’s services to deal with data protection compliance and to maintain trust in their operations with the public, customers and employees. Pimloc is starting to explore new markets in Smart City, Insurance and video privacy/security use cases. 
The market opportunity is vast and growing, Pimloc has recently raised material venture capital from leading investors and now wants to expand the team to take advantage of the market and our solutions competitive advantage. 
Candidates are requested to provide links to their own code repositories (e.g. hosted on GitHub) and authored research publications (e.g. hosted on arXiv.org) inside their application.

Pimloc

Machine Learning Data Scientist (f/m/d)

<h2>💭 About <a href="https://www.stotles.com" target="_blank">Stotles</a></h2>
Our <a href="https://www.notion.so/Mission-Values-85f1e212d1204a5fb17cf6c5eb3a6877" target="_blank">mission</a> is to unlock the potential of business and government working better, together.
The partnership between business and government is vital in making our communities productive &amp; cohesive, but inefficiency and beaurocracy is currently the norm. We are using a modern approach to change this.
Our SaaS platform gives businesses a clear view of opportunities to work with the public sector, and the tools needed to manage them. We are bringing together a massive amount of messy government data to bring clarity and transparency to a space that desperately needs it.
Since launching our private beta in early 2020, we've seen fantastic traction from industry leading customers such as UiPath, Slack, Freshworks, Couchbase, and many others.
Learn more:
<a href="https://www.notion.so/Copy-of-Working-at-Stotles-fb56c9d25f0e4579aca1f688dc09b5db" target="_blank">Copy of Working at Stotles</a>
<h2>💡 About this role</h2>
Comp. range: £50-75k salary with 0.05-0.25% in equity
We are looking for ambitious software engineers that are passionate about finding elegant solutions to complex problems.
We are untangling the complexities of the public sector as a nimble, cross-functional product team. To do this we aim for everyone to be familiar with all parts of the system.
You’ll be joining a team of creative and intellectually curious engineers. We are eager to learn any technology and skill required to get the job done, and share their knowledge with the rest of the team.
With a strong culture of ownership and responsibility, we believe that our job is not done until the job is done. We take pride in delivering the highest quality, reliable products that make discovering and actioning opportunities in the public sector effortless and fun for our users.
As one of the first software engineers at Stotles you will have a huge impact on the overall success of the team, and be involved in the entire lifecycle of the product.
<h2>🔑 What you'll do</h2>
<ul>
<li>Build a global public sector database by combining procurement data, news sources, government spend and planning information and many other datasources</li>
<li>Design and build a complex data pipeline ingesting structured and unstructured data</li>
<li>Develop infrastructure connecting all components of our architecture including the data pipeline, scrapers, internal tools and the customer-facing web application</li>
<li>Build a state-of-the-art querying and searching engine for our graph of public sector data</li>
<li>Create a best-in-class SaaS tool to revolutionise a market that desperately needs it</li>
</ul>
<a href="https://www.youtube.com/watch?v=16rX51zHsLg&amp;feature=emb_logo" target="_blank">Check this out</a> for some examples of what we're working on.
<h2>🥞 Our tech stack</h2>
We are always striving to use the best available tools for the job and currently among other tools, these work great for us:
<ul>
<li>Scrapers &amp; data backend written in TypeScript/node.js</li>
<li>Data science done with Python</li>
<li>Web-app backend using Ruby on Rails with Postgres</li>
<li>Front-end written in TypeScript (we 💗 types!) using React and <a href="https://ant.design/" target="_blank">Ant Design</a> components</li>
<li>We're currently running all of this on Heroku &amp; AWS</li>
</ul>
As the core part of our team you will be able to influence the technology choices we make for our backend architecture.
See more on our <a href="https://stackshare.io/stotles/stotles" target="_blank">stackshare</a>
<h2>⌨️ What we're looking for</h2>
<h3>Skills we're looking for</h3>
<ul>
<li>3+ years of experience as a software engineer in roles related to data engineering (data pipeline architecture, scrapers, data processing &amp; analytics) or backend development.</li>
<li>Good knowledge of at least one of TypeScript, JavaScript, Python or Ruby.</li>
<li>Good knowledge of relational databases</li>
<li>Experience with applications running in the cloud and using modern DevOps tools</li>
<li>(Good to have) Experience with node.js backends</li>
<li>(Good to have) experience developing SaaS products</li>
<li>(Good to have) experience with graph databases</li>
</ul>
<h3>Qualities we're looking for</h3>
<ul>
<li>Strong analytical thinking: Able to distill complex tasks into an elegant solution &amp; plan-of-attack</li>
<li>Effective communicator: Able to share novel or complicated concepts with the team in a digestible way, and able to “translate” technical developments into their relevant business implications</li>
<li>Focused on impact, not output: Willing to flex across technologies and beyond this job description to solve the task at hand; ready to get your hands dirty!</li>
<li>Ambitious curiosity: Eager to learn skills and technologies outside of your comfort zone, take on tasks that scare you, and grow into a senior leadership role at Stotles</li>
<li>Dependability &amp; detail-oriented: Trusted to deliver on the commitments you make to the team, from the big picture results to the nuanced details</li>
</ul>
Most important, we're looking for people that are curious, ambitious and love to learn new things, so if for any reason you don't fit our requirements but are passionate about our vision, don't hesitate to apply!
 
<h2>👉 You at Stotles</h2>
📈 How you'll learn and grow
🧠 What you will learn
We believe that individual learning and progression is extremely important. In addition to a <a href="https://www.notion.so/Benefits-Perks-d432e517cf35412a8460a6530a7d6ee3" target="_blank">dedicated budget for personal development</a>, here are some of the things you will learn as you go:
<ul>
<li>Building cloud-based applications</li>
<li>Software architecture</li>
<li>Data science &amp; engineering</li>
<li>Mentoring as the team grows</li>
<li>And more!</li>
<li>generalist knowing high-level aspects of the whole system - think "software architect",</li>
<li>specialist with in-depth knowledge of crucial parts of our product,</li>
<li>team leader building and mentoring a world-class team of engineers.</li>
<li>📆 What you'll do in a typical week
<ul>
<li>Coding + Product development
<ul>
<li>Working on new features or fixing any bugs</li>
<li>Code review or general feedback sessions - everyone can have their say</li>
<li>Researching and planning implementations for upcoming features</li>
<li>Regular code deployments to production</li>
</ul>
</li>
<li>Knowledge sharing sessions - learn new tech (frameworks, languages, methodologies etc.), or product-related skills (UI/UX, BDD/DDD/TDD).</li>
<li>Weekly Engineering meeting - We operate on weekly sprints to discuss outcomes, and plan tasks for the following week.</li>
<li>Bi-weekly product meeting - discuss the latest changes to the product and roadmap. We believe everyone should have a say in the direction of the product.</li>
<li>Physical &amp; mental wellbeing - whether it's going to the gym, meditating, or anything else you might spend your <a href="https://www.notion.so/Benefits-Perks-d432e517cf35412a8460a6530a7d6ee3" target="_blank">wellbeing allowance</a> on!</li>
<li>Food, drink &amp; snacks - join for lunch together, topping up the snack supply or drinks on a Friday - we like to explore what the area has to offer.</li>
</ul>
</li>
</ul>

Stotles

Mid/Sr. Data Engineer

<h2>The Role</h2>
At TurinTech, we make AI scalable. We partner with the world’s most prestigious institutions to advance research in AI optimisation. Our Product EvoML, the world’s first Evolutionary Optimisation Platform, enables both tech and business users to automatically build, optimise and deploy AI at scale. EvoML has been used by leading companies to build more profitable trading algorithms, develop hyper-personalised consumer goods products, create more accurate health diagnosis software and more.
&amp;#xD;
We are seeking a Senior Data Scientist to join our research team. This is an unique opportunity to embed yourself in a fast-growing deep tech company. Our research team at TurinTech advances the research in automatic ML model generation and optimisation using the latest cutting-edge approaches in feature selection/engineering, model tuning, model explainability and other parts of the ML process.
<h2>What you'll do:</h2>
<ul>
<li>&amp;#xD;</li>
<li>Support our AI research with our academic partners </li>
<li>&amp;#xD;</li>
<li>Co-develop data science projects with our customers.</li>
<li>&amp;#xD;</li>
<li>Define and create new and advanced data science techniques and approaches, and apply them to real-world business applications.</li>
<li>&amp;#xD;</li>
<li>Optimise existing methods, technologies and tools and keep yourself informed about new trends in the market.</li>
<li>&amp;#xD;</li>
<li>Crunch, analyse and investigate various kinds of data, across industries and use cases.</li>
<li>&amp;#xD;</li>
<li>Deploy Machine Learning models to production, and develop its integration or front-end (e.g. a predictive webapp).</li>
<li>&amp;#xD;</li>
</ul>
&amp;#xD;
<ul>
<li>&amp;#xD;</li>
<li>Cooperate with different stakeholders to define business requirements and the relevant indicators of success.</li>
<li>&amp;#xD;</li>
<li>Support the training and onboarding of new colleagues, less experienced data scientists and engineers.</li>
<li>&amp;#xD;</li>
</ul>
<h2>Who you are:</h2>
<ul>
<li>&amp;#xD;</li>
<li>A Master degree (PhD preferred) in engineering, computer science, mathematics or a related field</li>
<li>&amp;#xD;</li>
<li>Several years of professional experience in data engineering, especially with advanced SQL and big data pipeline skills</li>
<li>&amp;#xD;</li>
<li>Over 3 years of experience in machine learning with frameworks (such as Scikit-Learn, Keras, TensorFlow, PyTorch, Mllib)</li>
<li>&amp;#xD;</li>
<li>Excellent knowledge of analytical techniques, especially in the field of machine learning and optimisation</li>
<li>&amp;#xD;</li>
<li>Experience in the use of Big Data platforms (Spark, Hadoop) for large data volumes</li>
<li>&amp;#xD;</li>
<li>Knowledge of cloud technology stacks (AWS, GCP, Azure) and data visualization tools and applications (Tableau, Qlickview, PowerBI)</li>
<li>&amp;#xD;</li>
<li>Very good knowledge of at least one scripting language like Python or R</li>
<li>&amp;#xD;</li>
<li>Knowledge of container platforms, e.g. dockers</li>
<li>&amp;#xD;</li>
</ul>
<h2>At TurinTech you will get to</h2>
<ul>
<li>&amp;#xD;</li>
<li>Benefit from state-of-the-art AI technologies and open source libraries based on our award-winning research</li>
<li>&amp;#xD;</li>
<li>Expose to real-world AI problems with our leading customers across various industries </li>
<li>&amp;#xD;</li>
<li>Work with a talented, passionate and ambitious team from different backgrounds and continents</li>
<li>&amp;#xD;</li>
<li>Work at one of the most promising deep tech startups who is backed by top VC firm </li>
<li>&amp;#xD;</li>
<li>Take ownership and contribute to a wide variety of projects that makes no one day is like another</li>
<li>&amp;#xD;</li>
</ul>
&amp;#xD;

4 Data Jobs in United Kingdom